基于差分进化算法的燃气轮机转速模糊PID复合控制

Fuzzy PID Hybrid Control Over the Rotating Speed of a Gas Turbine Based on the Differential Evolution Algorithm

为了改善电站燃气轮机转速控制系统的调节品质,采用模糊PID(比例积分微分调节器)复合控制,通过差分进化算法对模糊控制器参数进行寻优,基于电力系统高级仿真支撑平台(JSSC)对该方法进行了验证。试验结果表明:模糊PID复合控制无论在升速过程还是甩负荷等突变工况时,不管在超调量、过渡过程时间等动态性能上还是静态偏差等方面,转速控制结果均明显优于单纯的PID控制;当转速特性发生变化时,该控制方法表现出良好的鲁棒性。

To improve the control quality of the rotating speed control system of a gas turbine in a power plant,the fuzzy PID hybrid control was adopted. The optimum values of the parameters of the fuzzy controller were searched by using the differential evolution algorithm. On an advanced simulation supporting platform for electric power systems,the method in question was verified. The test results show that the results of the fuzzy PID hybrid control over the rotating speed will be obviously better than those of the pure PID control no matter in the process of a speed-up and load-ejection period etc. abrupt changes in operating conditions,regardless of such aspects as the overshooting values and transient process time durations etc. dynamic performance and static-state deviations. Especially,when any change of the rotating speed characteristics occurs,the method in question will display a good robustness.