针对火电机组的机炉协调模型,提出一种基于遗传算法的协调控制系统多变量鲁棒PID参数寻优方法.该方法以控制器的设定点跟踪性能为寻优目标,鲁棒性能为约束惩罚条件,采用遗传算法对控制器参数进行寻优.仿真结果表明:与鲁棒H∞控制器降阶后所得到的PID控制器相比,利用本文方法得到的控制器具有更好的负荷设定值跟踪性能,并且具有良好的鲁棒性. Aiming at the machine-boiler coordination model of thermal power units, a genetic algorithm based multi-variable robust PID parameter optimization method is proposed. This method takes the set point tracking performance of the controller as the optimization objective and the robust performance as the constraint Penalty conditions, the genetic algorithm is used to optimize the parameters of the controller.The simulation results show that the controller obtained by this method has a better load-bearing capacity than the PID controller obtained after the reduction of the robust H∞controller, Fixed value tracking performance, and has good robustness.