Dynamic Simulations of Electric Machinery: Using MATLAB/SIMULINK by Chee-Mun Ong
- Dynamic Simulations of Electric Machinery: Using MATLAB/SIMULINK
- Chee-Mun Ong
- Page: 643
- Format: pdf, ePub, mobi, fb2
- ISBN: 9780137237852
- Publisher: Prentice Hall
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<p>Electrical engineers can significantly improve the way they design power components and systems using the PC-based modeling and simulation tools discussed in this book.This book covers the fundamentals of electrical system modeling and simulation, using two of the industry's most popular software packages, MATLAB and SIMULINK. It also shows how to interpret the results and use them in the design process. The book reviews the basics of magnetics and line modeling. It covers a wide range of electrical components and systems, including: transformers, electric machines, three-phase induction machines, synchronous machines, and DC machines.For working engineers and graduate students interested in simulating power systems. </P></p> <p> From the Back Cover</p> <p> Everything you need to use MATLAB and SIMULINK for interactive modeling. <p> With today's personal computers, students have the power to create simulations of electric machinery that allow them to study transient and control performance and test conceptual designs. The outcome of these simulations can reveal behaviors that may not have been readily apparent from the theory and design of the machines. <p> This book offers a complete treatment from background theory and models to implementation and verification techniques for simulations and linear analysis of frequently studies machine systems. They include: Three- and single-phase transformers, modeling of core saturation. Three- and single-phase induction machines. Three- and six-phase synchronous machines, wound and permanent magnet field. DC machines: four-quadrant drive operation, starting, speed and torque control. Induction machine drives: volts/hertz control and field-oriented control Synchronous machines in power system studies: multi-machine system, shaft torsionals, excitation control. Synchronous machine drives: self-control and permanent magnet field. <p> Every chapter of Dynamic Simulation of Electric Machinery includes exercises and projects that can be explored using the accompanying software. A full chapter is devoted to the use of MATLAB and SIMULINK, and an appendix provides a convenient overview of key numerical methods used. <p> Dynamic Simulation of Electric Machinery provides professional engineers and students with a complete toolkit for modeling and analyzing power systems on their desktop computers. </p>
Dynamic Simulations of Electric Machinery: Using MATLAB/Simulink
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Dynamic Modeling and Simulation of Induction Machine Using MATLAB/ Nowadays, in different fields regarding electrical engineering, induction machines are dynamics of the induction motor are then simulated in MATLAB/SIMULINK in a Dynamic Simulations of Electric Machinery: Using MATLAB
Chee-Mun Ong - Dynamic Simulations of Electric Machinery: Using MATLAB SIMULINKPublished: 1997-09-29 | ISBN: 0137237855 | PDF | 688 Dynamic Simulations of Electric Machinery : Using MATLAB/SIMULINK
Dynamic Simulations of Electric Machinery : Using MATLAB/SIMULINK. by Wei Jiang. 09 Feb 2006 (Updated 10 Feb 2006). Modelling and simulation of Dynamic Simulations of Electric Machinery: Using MATLAB/SIMULINK
Dynamic Simulations of Electric Machinery: Using. MATLAB/SIMULINK. 作(譯)者： ONG. 出版商：PH/PTR. 年份版次：1998 年，第 1 版. ISBN：9867727894. Dynamic Simulations of Electric Machinery: Using MATLAB/SIMULINK
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Chee-Mun, O. (1997): Dynamic simulation of Electric Machinery using Matlab/Simulink, ISBN 0-13-723785-5, Prentice Hall PTR, New Jersey. Dabney B. J. A COMPARITVE STUDY BETWEEN VECTOR CONTROL AND
MOTOR USING MATLAB SIMULINK MATLAB/Simulink as A Modeling TOOL .. Ong, Dynamic simulation of electric machinery: using MATLAB/SIMULINK vol. Dynamic Simulations of Electric Machinery PDF | Free computer books
Dynamic Simulations of Electric Machinery: Using MATLAB/SIMULINK This book covers the fundamentals of electrical system modeling and