Simulation Research on the Optimization of Servo System Based on Hybrid Fuzzy Control Algorithm
Abstract
In servo system, aiming at the defects of the selection of parameters including scale factor and quantitative factor, which depend on experience seriously and lack standards, a parameter optimization method of servo system based on genetic algorithm and particle swarm algorithm is proposed. This method not only greatly reduces the maximum tracking error and optimizes static and dynamic characteristics, it can also effectively overcome the influence of nonlinear factors disturbances from ripple torque. This method makes the system basically satisfy the nonlinear and time-varying control requirements. Finally, the effectiveness and practicability of the proposed method are validated through simulation.
Keywords
Servo system, Hybrid fuzzy control algorithm, Parameter optimization
DOI
10.12783/dtetr/icca2016/6059
10.12783/dtetr/icca2016/6059
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