关键词: 遗传算法, 实数编码, PID参数优化, 仿真实验, 水轮机调节系统

Abstract:

Genetic algorithm is a stochastic global search method that simulates biological evolution and draws upon biological natural selection and genetic adaptive iteration. An optimized design of PID controller parameters of the turbine regulating system based on real coded genetic algorithm is proposed. Compared with the conventional PID parameter tuning methods, the real coded genetic algorithm is more convenient and accurate in that it overcomes the defects that conventional methods are unable to work out the optimal parameters and that the simplex algorithm could cause a local minimum. PID parameters tuning by real coded genetic algorithm has the advantages of small overshoot and high speed, which contributes to the good performance of the turbine regulating system.

Key words: genetic algorithm, real coding, optimization of PID parameters, simulation test, turbine regulating system