Modeling and simulation

About: Modeling and simulation is a research topic. Over the lifetime, 10273 publications have been published within this topic receiving 111550 citations.

Modeling and Simulation of Whole Ball Mill Grinding Plant for Integrated Control

Abstract: This paper introduces the development and implementation of a ball mill grinding circuit simulator, NEUSimMill. Compared to the existing simulators in this field which focus on process flowsheeting, NEUSimMill is designed to be used for the test and verification of grinding process control system including advanced control system such as integrated control. The simulator implements the dynamic ball mill grinding model which formulates the dynamic responses of the process variables and the product particle size distribution to disturbances and control behaviors as well. First principles models have been used in conjunction with heuristic inference tools such as fuzzy logic and artificial neural networks: giving rise to a hybrid intelligent model which is valid across a large operating range. The model building in the simulator adopts a novel modular-based approach which is made possible by the dynamic sequential solving approach. The simulator can be initiated with connection to a real controller to track the plant state and display in real-time the effect of various changes on the simulated plant. The simulation model and its implementation is verified and validated through a case of application to the design, development, and deployment of optimal setting control system.

Objects for simulation: Smalltalk and Ecology

Abstract: The object-oriented programming environment Smalltalk is used to implement a tool for modeling and simulation of ecological systems. This PC-based tool makes it possible, and easy, to represent individuals explicitly in the simulation, and to integrate the individual-based approach with a traditional population/concentration-based approach. Object-oriented programming is used to allow for an efficient development of models. The properties of Smalltalk are exploited to make testing and investigation of the models occur interactively, supported by a user-friendly interface. In the paper, modeling and simulation concepts and elements of object- oriented programming as they relate to an individual-based approach, are introduced. The simulation extension in question (EcoTalk) is described. Two applications that make use of EcoTalk are presented, both related to population-dynamics. The discussion centers on practical implications of the approach, e.g. the system characteristics that can be expressed in EcoTalk...

Object-oriented modeling and discrete-event simulation

Abstract: Publisher Summary The chapter focuses on the discrete-event modeling and simulation approach that emerged from operations-research concerns. Object-oriented modeling and discrete-event simulation provide a powerful basis for design and analysis of computer-based systems in such applications as flexible manufacturing, automation, and robotics. The object-oriented approach provides powerful modeling concepts to support computer-based tools for complex system design. Discrete-event simulation has a long history of association with the object-oriented paradigm and provides the critical ability to study the dynamic behavior of models that are defined with object-oriented means. It is characteristic of simulation tools that they facilitate a (hypothetical) description of the internal structure of a real system to the level of detail that the modeler perceives in reality. This power of representation distinguishes simulation from analytical techniques but also places a new burden on the modeler such as the choice of the level of detail compatible with the objectives of the modeling effort, the real-system data available, and the computational and human resources at one's disposal. Modeling and simulation are usually performed within the context of system design, control, or management. The chapter also describes the discrete event system specification (DEVS) theory of discrete-event systems, emphasizing that DEVS should provide a firm foundation for such next-generation software environments.

Efficient large-scale process-oriented parallel simulations

Abstract: Process oriented views are widely recognized as very useful for modeling, but difficult to implement efficiently in a simulation system, as compared to event oriented views In particular, the complexity and run-time overheads of the implementation have prevented the widespread use of process oriented views in optimistic parallel simulations Here, we review the conventional approaches to implementing process-oriented views, and outline some of the sources of problems in those approaches We also identify an approach that we call stack reconstruction, which is most suited for portably and efficiently supporting optimistic process-oriented views Benchmark simulations using our preliminary implementation, which is incorporated in the TED modeling and simulation system, confirms the low overheads of this approach, and demonstrates its capability to simulate over one million processes in a process-oriented model

A microgrid modeling and simulation platform for system evaluation on a range of time scales

Abstract: This paper presents a simulation platform for the modeling and study of microgrid (MG) power systems. Using MathWorks Simulink modeling software, the platform provides a library of tools for designing and simulating the behavior of an MG on time scales from seconds to days. The library includes a collection of power system and power electronics components (sources, loads, switches, etc.) that may be arbitrarily configured. The platform also facilitates the study of energy management systems (EMS), which optimize the behavior of certain controllable sources and loads according to programmed algorithms. User-generated EMS routines can be integrated into an MG model.