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中文摘要：
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.
英文摘要：
A parameter optimization method is being proposed for a multivariable robust PID controller based on genetic algorithm with respect to the boiler-turbine control system of a thermal power plant.By taking set point tracking performance as the optimization goal and robustness as the punishment constraints,the controller parameters can be optimized by using genetic algorithm.Simulation results show that the proposed controller has better load set point tracking performance compared with the PID controller reduced from robust H_∞ one,which has also good robustness.
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