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.

Simulation of sensorless permanent magnetic brushless DC motor control system

Abstract: This paper presents a simulation method of modularization design for brushless DC motors (BLDCM). Based on the mathematical model of BLDCM, some isolated functional blocks, including BLDCM body block, speed PI controller block, current hysteresis controller block, current reference block, inverter block and commutation logic block, have been modeled in Matlab/Simulink. By the organic combination of these blocks, the simulation model of control system for BLDCM has been established. Additionally, some simulation works such as current waveform, back EMF waveform, torque curve and rotor speed curve have been done in this study. The simulation results indicate that the established model based on the new method proposed in this study has a good response to the rotor speed and torque, and possesses quick simulation pace, which offers foundation for the design of actual motor control system.These instructions give you the basic guidelines for preparing papers for IEEE 2008 ICAL conference proceedings.

Design and Optimization of Thermal Systems: With MATLAB® Applications

Abstract: Design and Optimization of Thermal Systems, Third Edition: with MATLAB® Applications provides systematic and efficient approaches to the design of thermal systems, which are of interest in a wide range of applications. It presents basic concepts and procedures for conceptual design, problem formulation, modeling, simulation, design evaluation, achieving feasible design, and optimization. Emphasizing modeling and simulation, with experimentation for physical insight and model validation, the third edition covers the areas of material selection, manufacturability, economic aspects, sensitivity, genetic and gradient search methods, knowledge-based design methodology, uncertainty, and other aspects that arise in practical situations. This edition features many new and revised examples and problems from diverse application areas and more extensive coverage of analysis and simulation with MATLAB®.

Markov Modeling for Reliability Analysis

Abstract: From the Publisher: "Markov modeling has long been accepted as a fundamental and powerful technique for the fault tolerance analysis of mission-critical applications. However, the elaborate computations required have often made Markov modeling too time-consuming to be of practical use on these complex systems. With this hands-on tool, designers can use the Markov modeling technique to analyze safety, reliability, maintainability, and cost-effectiveness factors in the full range of complex systems in use today.Featuring ground-breaking simulation software and a comprehensive reference manual, MARKOV MODELING FOR RELIABILITY ANALYSIS helps system designers surmount the mathematical computations that have previously prevented effective reliability analysis. The text and software compose a valuable self-study tool that is complete with detailed explanations, examples, and a library of Markov models that can be used for experiments and as derivations for new simulation models. The book details how these analyses are conducted, while providing hands-on instruction on how to develop reliability models for the full range of system configurations.Computer-Aided Rate Modeling and Simulation (CARMS) software is an integrated modeling tool that includes a diagram-based environment for model setup, a spreadsheet like interface for data entry, an expert system link for automatic model construction, and an interactive graphic interface for displaying simulation results."