Application of PID Controller for Servo Motors

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Abstract:

Parameter optimization of PID controller design, parameter optimization method is proposed based on quantum genetic algorithm for PID controller tuning problem. Quantum Genetic Algorithm (QGA) DC servo motor control system PID parameter optimization control, quantum genetic algorithm to optimize the results of the genetic algorithm, the simulation results show that the QGA to optimize control get PID controller comprehensive performance is better than general genetic algorithm optimization PID controller, and the realization of the algorithm does not depend on the controlled object, so that the control system has better robustness and stability, with a wide range of practical in engineering practice play a good role in the control.

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Periodical:

Advanced Materials Research (Volumes 926-930)

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1218-1221

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Online since:

May 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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