关键词: 自动控制, 遗传算法, 模糊逻辑控制, 平均适应值, 参数优化

Abstract:

Fixed parameters of genetic algorithm are easy to fall into premature convergence and local optimum situation．An improved genetic algorithm was proposed herein in order to improve the convergence speed and the ability to global solution. Fuzzy controller was established in order to achieve adaptive adjustment of the genetic algorithm parameters (Pc and Pm). Through the use of conventional optimization methods, simple genetic algorithms and improved optimization algorithms, complete the control of hydraulic flow driven by （PMSM）.The results show that: using fuzzy logic genetic algorithms a hydraulic system achieves good control performance and strong robustness under typical operating conditions.

Key words: automatic control, genetic algorithm, fuzzy logic control, average fitness value, parameter optimization