Showing papers on "Modeling and simulation published in 2002"

Modeling and simulation for automatic control

Abstract: No parts of this publication may be reproduced by any means, transmitted, or translated into machine language without the written permission of the author. Requests for permisson to reproduce parts of the book should be adressed directly to Professor Olav Egeland, Preface Modeling and simulation of dynamic processes are very important subjects in control systems design. Most processes that are encountered in practical controller design are very well described in the engineering literature, and it is important that the control engineer is able to take advantage of this information. It is a problem that several books must be used to get the relevant modeling information of a particular process, and it may take a long time to go through all the necessary material. The idea of this book is to supply the control engineer with a sufficient modeling background to design controllers for a wide range of processes. In addition, the book provides a good starting point for going into the specialist literature of different engineering disciplines. In this connection the references indicate where to start. The book also contains more material than what will normally be covered in the lectures of a typical course, so that students may return to the book at a later stage and find additional information about a particular subject. This will be more efficient than to extract the required information from a series of other books. In this sense the book will be of great value for practising control engineers. The development of new products and systems is often done in a team of experts with different backgrounds. It is hoped that this book will help control engineers to communicate with other experts in this type of team. To achieve this we have been careful to use standard terminology and notation from the different engineering disciplines in question. Here we deliberately break the tradition evident in many books in the control literature where the emphasis is on having a unified formulation specific to automatic control. The selection of the material is based on the experience of the authors in teaching and research at the Norwegian University of Science and Technology. In addition to this, material has been selected on the basis of extensive industrial activity through research programs between university and industry, and product development in industry. In this activity there has been close cooperation with experts from other disciplines, and this has given …

Modelica - a general object-oriented language for continuous and discrete-event system modeling and simulation

Abstract: Modelica is a general equation-based object-oriented language for continuous and discrete-event modeling of physical systems for the purpose of efficient simulation. The language unifies and generalizes previous object-oriented modeling languages. It is bringing about a revolution in this area, based on its ease of use, visual design of models with combination of Lego-like predefined model building blocks, its ability to define model libraries with re-usable components and its support for modeling and simulation of complex applications involving parts from several application domains. In this paper we present the Modelica language with emphasis on its language features and one of the associated simulation environments. Simulation models can be developed in an integrated problem-solving environment by using a graphical editor for connection diagrams. Connections are established just by drawing lines between objects picked from a class library. The principles of object oriented physical systems modeling and the multi-domain capabilities of the language are presented in the paper by several examples.

Modeling, simulation, sensitivity analysis, and optimization of hybrid systems

Abstract: Hybrid (discrete/continuous) systems exhibit both discrete state and continuous state dynamics which interact to such a significant extent that they cannot be decoupled and must be analyzed simultaneously. We present an overview of the work that has been done in the modeling, simulation, sensitivity analysis, and optimization of hybrid systems, paying particular attention to the interaction between discrete and continuous dynamics. A concise intuitive framework for hybrid system modeling is presented, together with discussions on robust state event location, transfer functions of the continuous state at discontinuities, parametric sensitivity analysis of hybrid systems, and challenges in optimization.

Teaching nonlinear modeling, simulation, and control of electronic power converters using MATLAB/SIMULINK

Abstract: This paper describes an efficient method to teach analysis and simulation of power electronic converters to undergraduate students, using system level nonlinear state-space models. System-level modeling of power electronic converters reproduces only the ideal switching behavior of the semiconductors and is a useful concept for the numerical simulation of power converters, since simulations present no convergence problems and require little computational time. Switched state-space models, programmed in the MATLAB/SIMULINK software package, can be advantageously used to simulate power converters at the system level and also to design and study their controllers. Switched state-space nonlinear models should be obtained using a theoretical framework suitable for the enhanced control of variable structure power systems. Since the method is inherently nonlinear, no approximated linear models are needed; and since state-space models are used, modern control techniques (sliding mode, neural networks, fuzzy logic) for power converters can easily be used. This paper summarizes the proposed methodology and gives some examples.

Modeling and simulation for hybrid electric vehicles. II. Simulation

Abstract: For pt.I see ibid., vol.3, no.4, p.235-43 (2002). Hybrid electric vehicle (HEV) simulation is conducted based on the model developed for a parallel HEV built in the University of Tennessee, Knoxville (UT-HEV). The HEV simulation is a parametric analysis of the power control schemes and vehicle performance. Major parameters are evaluated for the vehicle driven under the standard urban and highway driving schedules. The results indicate that current configuration of the UT-HEV NEON has superb capability for battery state of charge (SOC) recovery while meeting the velocity request of the given driving schedules. Recommendations are given from the simulation for optimal performance in light of the HEV power control, capability for SOC recovery through regeneration and regenerative braking, as well as velocity, acceleration and range performance.

Modeling, Simulation, and Control of Cavity Flow Oscillations

Abstract: This thesis involves the modeling of self-sustained oscillations in the flow past a rectangular cavity. The emphasis is on developing low-dimensional models that are suitable for analysis using tools from dynamical systems and control theory. Two-dimensional direct numerical simulations are performed, and indicate the presence of a “wake mode,” which has been observed previously in experiments, but which is much less well understood than the “shear-layer mode” usually observed. We characterize the flow in both shear-layer mode and wake mode, and provide a criterion for predicting the onset of wake mode, as a function of the various geometrical and flow-related parameters. We focus on the modeling of shear-layer mode, and employ two distinct modeling approaches: first, we use the method of Proper Orthogonal Decomposition (POD) and Galerkin projection to reduce the Navier-Stokes equations to a lowdimensional system of ordinary differential equations (ODEs). We extend the method to compressible flows, using approximations that are valid for cold flows at moderate Mach number. In a compressible flow, both the kinematic and thermodynamic variables contribute to the total energy, and an inner product is introduced which respects this, and allows one to use vector-valued POD modes for the Galerkin projection. We obtain models in the form of ODEs with between 2 and 60 states, and compare models based on scalar-valued and vector-valued POD modes. All of the models work well for short times (a few periods of oscillation), but the models based on scalar-valued modes deviate for longer times, while in general the models based on vector-valued modes retain qualitatively correct dynamical behavior. In the second modeling approach, we model the underlying physical mechanisms separately (shear-layer amplification, acoustic scattering, acoustic propagation), and obtain linear models that are suitable for control design and analysis. We design a controller which stabilizes the model, and implement a similar control law on an experiment, demonstrating significant reduction in the amplitude of the oscillations, but revealing some limitations of feedback control.

Investigation of Evidence Theory for Engineering Applications

Abstract: tional simulation, computer simulations can appear most In the recent mathematical and risk assessment convincing Terminology such as “virtual prototyping”, literature on uncertainty estimation, it has been argued “virtual testing”, “full physics simulation”, and that the traditional application of probability theory “modeling and simulation based acquisition” are provides an inadequate model to capture the full scope of extremely appealing when budgets are highly constrainepistemic uncertainty Epistemic uncertainty is also ed, competitors are taking market share, or when referred to as subjective uncertainty, reducible political constraints do not allow testing of certain uncertainty, or uncertainty due to lack of knowledge systems To assess the accuracy and usefulness of This paper applies an alternative representation of computational simulations, three key aspects are needed uncertainty, evidence theory (also referred to as in the analysis and experimental process: code and Dempster-Shafer theory), to a simple example The solution verification, experimental validation of the example system involves an algebraic equation with two mathematical models of the process being simulated, and uncertain input parameters and one system response estimation of the uncertainty of both the inputs and variable The information for each of the uncertain outputs of the simulation The topics of verification and parameters is given by multiple sources of intervalvalidation are not addressed here, but these are covered at valued data, so that large epistemic uncertainty exists in length in the literature A number of fields have the parameters The example is solved with traditional contributed to the development of uncertainty estimation probability theory and evidence theory The discussion techniques and procedures, such as, nuclear reactor safety, stresses the mathematical and procedural steps needed to underground storage of radioactive and toxic wastes, and compute uncertainty bounds in the system response structural dynamics (see, for example, Refs 1-15) using evidence theory, as well as the similarities and Uncertainty estimation for engineered systems is differences between evidence theory and the traditional sometimes referred to as the simulation of approach Given the nature of the specified uncertainty nondeterministic systems The mathematical model of information, it is found that a traditional application of the system, which includes the influence of the probability theory significantly underestimates the environment on the system, is considered nonlikelihood of a hypothetical unsafe region as compared to deterministic in the sense that: a) the model can produce evidence theory Strengths and weaknesses of evidence nonunique system responses because of the existence of theory are discussed, and several important open issues uncertainty in the input data for the model, or b) there are are identified that must be addressed before evidence multiple alternative mathematical models for the system theory can be used confidently and productively in The mathematical models, however, are assumed to be engineering applications deterministic in the sense that when all necessary input data for the model are specified, the model produces only

Modeling and simulation of a double-skin façade system

Abstract: Starting from a practical design problem related to natural and hybrid ventilation systems, this paper looks at different airflow modeling methods that might be employed to assist in the decision-making process of a building design team. The question at hand is whether or not to make use of a double-skin facade system in a new office development. The airflow modeling methods considered are the mass balance network method and computational fluid dynamics (CFD). The paper gives an overview of the methodology of the design study. The underlying modeling and simulation work is elaborated. The paper finishes with some conclusions, both in terms of the actual performance of the double-skin facade and in terms of the modeling and simulation work. The main conclusions are that, for the foreseeable future, the network method is more suited for this type of "everyday" design support work. However, there are important areas where the network method in general might benefit from CFD, or vice-versa.

Fast -time simulation system for analysis of advanced air transportation concepts

Abstract: This paper describes the approach for creating a prototype modeling and simulation syste m that captures the interactions between key participants within the National Airspace System. The current operational paradigm for the National Airspace System has nearly reached its limits and cannot accommodate the projected increases in air travel dema nd. As a result, systems -engineering practices are being used to develop and evaluate candidate operational concepts for air traffic control. As these new concepts are considered, it is imperative that adequate and credible models are available to: 1) perf orm conceptual trade evaluations covering many issues and metrics; 2) provide detailed evaluations from many viewpoints of changes to the system prior to their implementation; and 3) conduct real -time and non -real -time analyses of system -wide performance. It is planned that an effective modeling and simulation capability , known as the Airspace Concept Evaluation System, will be achieved by improvements to existing models, as well as development of extensive new modeling capabilities. The initial effo rt concentrates on the development and validation of a toolbox of compatible models that can be configured to address many different concepts and evaluation criteria. This modeling strategy is supported by the emergence of distributed simulation capabiliti es together with the availability of a suite of models that represent key components of the air traffic system that can be integrated into a gate -to -gate modeling tool. In particular, the Airspace Concept Evaluation System prototype utilizes the High -Level Architecture together with agent -based software to create the large -scale, distributed simulation framework necessary to support system -wide evaluations. The complete simulation system will contain the run -time simulation engine together with scenario generation utilities, databases and post -processing tools. The prototype that is presented in this paper focuses on development of the run -time simulation engine .

The Heterogeneous Multi-Scale Method

Abstract: The heterogeneous multi-scale method (HMM) is a general strategy for dealing with problems involving multi-scales, with multi-physics, using multi-grids. It not only unifies several existing multi-scale methods, but also provide a methodology for designing new algorithms for new applications. In this paper, we review the history of multi-scale modeling and simulation that led to the development of HMM, the methodology itself together with some applications, and the mathematical theory of stability and accuracy.

Modelling, Analysis and Design of Hybrid Systems

Abstract: Modeling.- What Is a Hybrid System?.- Description of Hybrid Systems by Modified Petri Nets.- Model Based Development of Hybrid Systems: Specification, Simulation, Test Case Generation.- Hybrid Modeling of Complex Process Control Function Blocks.- Discrete Models for Hybrid Systems.- Simulation.- An Environment for the Integrated Modelling of Systems with Complex Continuous and Discrete Dynamics.- A DEVS-Based Approach for Modeling and Simulation of Hybrid Variable Structure Systems.- Object-Oriented Development of Simulation Models for Complex Hybrid Systems.- Analysis and Verification.- to the Analysis and Verification of Hybrid Systems.- Reachability Analysis and Control of a Special Class of Hybrid Systems.- Performance Models for a Hybrid Reactor System.- Using Parameterized Timestamp Petri Nets in Automatic Control.- Compositional Verification of Continuous-Discrete Systems.- Abstraction Based Supervisory Controller Synthesis for High Order Monotone Continuous Systems.- Hybrid Reconfigurable Control.- Automatic Design of Controllers for Hybrid Systems Using Genetic Algorithms.- Synthesis of a Discrete Control for Hybrid Systems by Means of a Petri-Net-State-Model.- Nonlinear Hybrid Dynamical Systems: Modeling, Optimal Control, and Applications.- Generation of Optimal Control Policies for Systems with Switched Hybrid Dynamics.- Applications.- Definition of a Type of Continuous-Discrete High-Level Petri Nets and Its Application to the Performance Analysis of Train Protection Systems.- Simulation for Analysis of Aircraft Elevator Feedback and Redundancy Control.- Development of Hybrid Component Models for Online Monitoring of Complex Dynamic Systems.- Modelling and Simulation of Controlled Road Traffic.- Hybrid Control of Multi-fingered Dextrous Robotic Hands.

Extensible Modeling and Simulation Framework (XMSF) Opportunities for Web-Based Modeling and Simulation

Abstract: Findings and recommendations report: Technical Challenges Workshop, Strategic Opportunities Symposium 22 October 2002

A hierarchical modeling framework for on-chip communication architectures [SOC]

Abstract: The communication sub-system of complex IC systems is increasingly critical for achieving system performance. Given this, it is important that the on-chip communication architecture should be included in any quantitative evaluation of system design during design space exploration. While there are several mature methodologies for the modeling and evaluation of architectures of processing elements, there is relatively little work done in modeling of an extensive range of on-chip communication architectures, and integrating this into a single modeling and simulation environment combining processing element and on-chip communication architectures. This paper describes a modeling framework with accompanying simulation tools that attempts to fill this gap. Based on an analysis of a wide range of on-chip communication architectures, we describe how a specific hierarchical class library can be used to develop new on-chip communication architectures, or variants of existing ones with relatively little incremental effort. We demonstrate this through three case studies including two commercial on-chip bus systems and an on-chip packet switching network. Here we show that through careful analysis and construction it is possible for the modeling environment to support the common features of these architectures as part of the library and permit instantiation of the individual architectures as variants of the library design. As part of this methodology we also show how different levels of abstraction of the model can be supported and viewed as different variants that can be used in an accuracy versus simulation time trade-off.

Introduction to Electronic Warfare Modeling and Simulation

Abstract: Introduction. Overview of EW. Math for Simulation. Radio Propagation. Characterization of EW Equipment. Threat Modeling. Engagement Modeling. Simulation for Training. Simulation for T & E. Output Simulation. Index. About the Author.

The role of bond graph modeling and simulation in mechatronics systems: An integrated software tool: CAMP-G, MATLAB–SIMULINK

Abstract: One of the main and most challenging steps in the design and analysis of a mechatronics system is to generate a computer model. This paper explores the fundamental theory, the methodology and the process from conceptual ideas to practical realization. Using a multienergetic approach that allows the modeling of interdisciplinary models, it explores the theory and method to automate the process of the generation of the differential equations and how to automate the derivation of transfer functions. The approach is discussed for linear and non-linear systems. The generation of a computer model takes new dimensions when that model contains mixed energy domains such as electromechanical, electrohydraulic, thermo-fluid, and electronic control systems all together. These are typical of mechatronics applications. This paper explores the bond graph technique as a modeling tool to generate state space models or non-linear models together with software tools. CAMP-G (Computer Aided Modeling Program with Graphical input) has been developed in order to generate computer models automatically and have them integrated with MATLAB–SIMULINK as simulation tools. Several aspects of mechatronics systems design have been investigated in order to focus on which areas the bond graph modeling technique can help engineers in the process of creating mechatronics systems from scratch. Towards this end, the paper deals with computer-generated models of sensors, actuators, and multidisciplinary complex physical systems.

3-D Finite Element Modeling of the Welding Process Using Element Birth and Element Movement Techniques

Abstract: The modeling and simulation of the welding process has been of main concern for different fields of applications. Most of the modeling of such a problem has been mainly in 2D forms that may also include many sorts of approximation and assumptions. This is due to limitations in the computational facilities as the analysis of 3D problems consumes a lot of time. With the evolution of new finite element tools and fast computer systems, the analysis of such problems is becoming in hand. In this research, a simulation of the welding process with and without metal deposition is developed. Change of phase and variation of properties with temperature are taken into account. A new technique for metal deposition using element movement is introduced. It helps in performing full 3D analysis in a shorter time than other previously developed techniques such as the element birth.Copyright © 2002 by ASME

A component-based approach to modeling and simulating mixed-signal and hybrid systems

Abstract: Systems with both continuous and discrete behaviors can be modeled using a mixed-signal style or a hybrid systems style. This article presents a component-based modeling and simulation framework that supports both modeling styles. The component framework, based on an actor metamodel, takes a hierarchical approach to manage heterogeneity in modeling complex systems. We describe how ordinary differential equations, discrete event systems, and finite-state machines can be built under this metamodel. A mixed-signal system is a hierarchical composition of continuous-time and discrete event models, and a hybrid system is a hierarchical composition of continuous-time and finite-state-machine models. Hierarchical composition and information hiding help build clean models and efficient execution engines. Simulation technologies, in particular, the interaction between a continuous-time ODE solving engine and various discrete simulation engines are discussed. A signal type system is introduced to schedule hybrid components inside a continuous-time environment. Breakpoints are used to control the numerical integration step sizes so that discrete events are handled properly. A "refiring" mechanism and a "rollback" mechanism are designed to manage continuous components inside a discrete event environment. The technologies are implemented in the Ptolemy II software environment. Examples are given to show the applications of this framework in mixed-signal and hybrid systems.

Modeling and simulation of grid connected wind electric generating system

Abstract: The effects of variation in grid voltage and frequency on the performance of the grid connected wind electric generating system has been studied for various wind velocities The induction generator, wind turbine and other network components are modeled using MATLAB/SIMULINK The model has been made realistic by considering the nonlinear variation of R/sub m/ and X/sub m/ of the induction generator A simple simulation procedure is developed to predict the system performance and the results are presented The dynamic VAr compensation by using TSC is also studied and the best location for the compensating capacitor is suggested

Computational Modeling and Simulation for Rechargeable Batteries

Abstract: Computational modeling is playing an increasingly important role in materials research and design. At the system level, the impact of cell design, electrode thickness, electrode morphology, new packaging techniques, and numerous other factors on battery performance can be predicted with battery simulators based on complex electrochemical transport equations. Such simulation tools have allowed the battery industry to optimize the power and energy density that can be achieved with a given set of electrode and electrolyte materials. At the materials level, first-principles calculations, which can be used to predict properties of previously unknown materials ab initio, have now made it possible to design materials for higher capacity and better stability. The state of the art in computational modeling of rechargeable batteries is reviewed.

Modeling and Simulation of Robotic Systems with Closed Kinematic Chains Using the Virtual Spring Approach

Abstract: The dynamic simulation of robotic or mechanical systems with closedkinematic chains using the virtual spring approach is presented in thispaper. This approach uses virtual springs and dampers to include thekinematic constraints thereby avoiding the solution ofdifferential-algebraic equations. A special advantage of this approachis that it leads to a completely decoupled dynamic model which is idealfor real-time dynamic simulation using multi-processor computers.Examples illustrating the approach are given and include the four-barmechanism with both rigid and flexible links as well as the six-degree-of-freedom Gough–Stewart platform. Simulation results are given for these mechanisms. The results achieve a good agreement with the resultsobtained from other conventional approaches.

Microelectrofluidic Systems: Modeling and Simulation

Abstract: INTRODUCTION Modeling and Simulation Issues Modeling and Simulation Needs Overview HIERARCHICAL MODELING MEFS Dynamic Modeling and Simulation at Circuit Level MEFS System-Level Modeling and Simulation Conclusion SYSTEMC-BASED HIERARCHICAL DESIGN ENVIRONMENT Suitability of Modeling Languages for Hierarchical Design Building Design Environment with SystemC Conclusion SYSTEM-LEVEL SIMULATION AND PERFORMANCE EVALUATION MEFS Computing and Architecture Hierarchical Modeling and Simulation Methodology Micro-Chemical Handling System System Performance Analysis and Design Optimization Conclusion CIRCUIT-LEVEL OPTIMIZATION Simulation Design Methodology Optimization Verification On-Target Design Optimization Robust Design Optimization Application Flexibility Optimization Conclusion PERFORMANCE EVALUATION Introduction Continuous-Flow PCR System Droplet-Based PCR System Comparison Between Continuous-Flow PCR and Droplet PCR Scheduling of Microfluidic Operations for Reconfigurable Two-Dimensional Electrowetting Arrays CONCLUSION APPENDICES VHDL Queuing Model Hierarchical Environment with SystemC Keywords: Nanoscience, Nanotechnology

Iconic Animation for Activity-based Construction Simulation

Abstract: This paper discusses the development of an animation tool for the activity-based construction (ABC) modeling and simulation system. The tool uses an activity-based network diagram, i.e., ABC simulation model, as the animation background image, and uses precreated two-dimensional (2D) iconic images for simulation entities (e.g., resources). The animation process displays the queuing status and dynamic movements of 2D iconic images on the background. It also distinguishes active and idle states of resources and activities. Dynamic reports are available for selected activities with graphs including the production rate and utilization of involved resources. From visualizing the change of status of simulation process and dynamic interaction between simulation entities in the process, the user can better understand the dynamic nature of the construction process. Animation provides an avenue to demonstrate how dynamic operations are simulated. It also provides an effective tool for the user to verify a simulation model and to validate the obtained simulation results. Compared to other systems, the ABC animation does not require any extra effort in addition to the ABC simulation model constructed for simulation purposes. Therefore, the presented technology greatly reduces the time and cost for achieving animation. A variety of useful information can be observed through animation, and is illustrated using two construction examples.

Modeling and simulation of core switching noise for ASICs

Abstract: This paper presents simulation and analysis of core switching noise for a CMOS ASIC test vehicle. The test vehicle consists of a ceramic ball grid array (CBGA) package on a printed circuit board (PCB). The entire test vehicle has been modeled by accounting for all the plane resonances using the cavity resonator method. The models included both the on-chip and off-chip decoupling capacitors. Using both time domain and frequency domain simulations, the role of plane resonances on power supply noise for fast current edge rates has been discussed. The models have been constructed to amplify certain parts of the test vehicle during simulations.

Influence of heat transfer and curing on the quality of pultruded composites. II: Modeling and simulation

Abstract: In this study, a computer simulation code is developed to predict the dynamics of heat transfer in the pultrusion process. The die block and heater arrangement are included in the heat transfer analysis so that the simulation can provide the temperature profile at the interface between the die and the composite. The measured interface temperature profiles are then used to validate the simulation code. Energy management, i.e. heater power control along the heating die, is also considered in the simulation code. The code is capable of carrying out transient thermal analysis for both start-up and steady-state operation of the pultrusion process. From the experimental observations on the part quality in terms of blister formation, a processing window was obtained by showing the relation of the die length and the line speed to the part quality. The processing window is then generated numerically using the computer code based on the definition of a critical die length proposed in this work, and the result shows good agreement with the experimental data.

Towards efficient design space exploration of heterogeneous embedded media systems

Abstract: Modern signal processing and multimedia embedded systems increasingly have heterogeneous system architectures. In these systems, programmable processors provide flexibility to support multiple applications, while dedicated hardware blocks provide high performance for time-critical application tasks. The heterogeneity of these embedded systems and the varying demands of their growing number of target applications greatly complicate the system design.As part of the Artemis project, we are developing a modeling and simulation environment which aims at efficient design space exploration of heterogeneous embedded systems architectures. In this paper, we present an overview of the modeling and simulation methodology used in Artemis. Moreover, using a case study in which we have applied an initial version of our prototype modeling and simulation environment to an M-JPEG encoding application, we illustrate the ease with which alternative candidate architectures can be modeled and evaluated.

Window-Based Susceptance Models for Large-Scale RLC Circuit Analyses

Abstract: Due to the increasing operating frequencies and the manner in which the corresponding integrated circuits and systems must be designed, the extraction, modeling and simulation of the magnetic couplings for final design verification can be a daunting task. In general, when modeling inductance and the associated return paths, one must consider the on-chip conductors as well as the system packaging. This can result in an RLC circuit size that is impractical for traditional simulators. In this paper we demonstrate a localized, window-based extraction and simulation methodology that employs the recently proposed susceptance (the inverse of inductance matrix) concept. We provide a qualitative explanation for the efficacy of this approach, and demonstrate how it facilitates pre-manufacturing simulations that would otherwise be intractable. A critical aspect of this simulation efficiency is owed to a susceptance-based circuit formation that we prove to be symmetric positive definite. This property, along with the sparsity of the susceptance matrix, enables the use of some advanced sparse matrix solvers. lye demonstrate this extraction and simulation methodology on some industrial examples.

A new simulation platform to model, optimize and design wind turbines

Abstract: Matlab/Simulink/spl reg/ has become the most used software for modeling and simulation of dynamic systems. Wind energy conversion systems are for example such systems, containing subsystems with different ranges of the time constants: wind, turbine, generator, power electronics, transformer and grid. The electrical generator and the power converter need the smallest simulation step and therefore, these blocks decide the simulation speed. This paper presents a new and integrated simulation platform for modeling, optimizing and designing wind turbines. The platform contains different simulation tools: Matlab/Simulink (used as basic modeling tool), HAWC, DIgSilent and Saber.