Control of DC Motor Using Different Control Strategies

Control of DC Motor Using Different Control Strategies
Автор книги: id книги: 1591544     Оценка: 0.0     Голосов: 0     Отзывы, комментарии: 0 642,68 руб.     (6,28$) Читать книгу Купить и скачать книгу Купить бумажную книгу Электронная книга Жанр: Сделай Сам Правообладатель и/или издательство: Bookwire Дата добавления в каталог КнигаЛит: ISBN: 9783969443781 Скачать фрагмент в формате   fb2   fb2.zip Возрастное ограничение: 0+ Оглавление Отрывок из книги

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The ultimate goal of this paper is to control the angular speed, in a model of a DC motor driving an inertial load has the angular speed, as the output and applied voltage, as the input, by varying the applied voltage using different control strategies for comparison purpose. The comparison is made between the proportional controller, integral controller, proportional and integral controller, phase lag compensator, derivative controller, lead integral compensator, lead lag compensator, PID controller and the linear quadratic tracker design based on the optimal control theory. It has been realized that the design based on the linear quadratic tracker will give the best steady state and transient system behavior, mainly because, the other compensator designs are mostly based on trial and error while the linear quadratic tracker design is based on the optimal control theory which can give best dynamic performance for the controlled system.

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Dr. Hidaia Mahmood Alassouli. Control of DC Motor Using Different Control Strategies

Control of DC Motor Using Different Control Strategies

Abstract

1. Introduction

2. Mathematical model of a DC motor

3. Controlling DC Motor Angular Velocity through Different Compensation Techniques:

5. Conclusion:

7. References

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Dr. Hidaia Mahmood Alassouli

Keywords: DC motor, lead compensator, lag compensator, PI compensator, optimal control, tracking

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Keywords: DC motor, lead compensator, lag compensator, PI compensator, optimal control, tracking

provides a set of commands that you can use for a broader range of control applications, including Classical SISO design Modern and MIMO design techniques, such as pole placement and linear quadratic Gaussian (LQG) methods

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