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针对离心压缩机防喘振控制原有调节过程能量浪费严重,传统的PID控制难以获得满意的效果的问题,提出一种新的基于遗传算法的自适应PID控制算法。利用遗传算法可快速全局寻优的特点,通过对PID控制参数的遗传算法优化,将性能指标构成相应的适应度函数,采用自适应变异概率,反复进行遗传操作以获得控制器的最佳整定参数。仿真结果表明,与传统PID整定结果相比较,该方法提高了参数的优化性能,系统动态性能进一步提高,可以取得较好的控制效果。
Aiming at the problem of serious energy waste in traditional anti-surge control of centrifugal compressor and difficult to obtain satisfactory results in traditional PID control, a new adaptive PID control algorithm based on genetic algorithm is proposed. Through the optimization of genetic algorithm, the genetic algorithm is used to optimize the PID control parameters, and the performance indexes form the corresponding fitness function. The genetic algorithm is used to obtain the optimal tuning parameters of the controller by adaptive mutation probability . The simulation results show that compared with the traditional PID tuning results, this method improves the performance of the parameter optimization and further improves the system dynamic performance, and can achieve better control effect.