双模糊免疫比例积分微分下的水力发电机组调速器研究

针对一般水力发电机组调速器不能根据系统的动态过程自动调整比例、微分、积分增益的缺点,以水轮机调速器为控制对象,提出了一种基于双模糊免疫比例积分微分(PID)控制算法.该方法在常规免疫PID算法的调节比例增益的基础上,将微分增益调节系统中的采样时刻偏差的微分作为抗原数量,建立了调节微分增益的模糊免疫系统.采用2个模糊免疫系统分别调节比例、微分增益,并通过模糊推理求解积分参数的变化量.仿真实验表明,所提算法在系统设计工况、系统参数摄动及外部干扰的情况下,能将水力发电机组的超调量降低28%,调节时间缩短5%.

Study on PID Hydraulic Turbine Governor with Double Fuzzy Immune Algorithm

In order to overcome the flaw of conventional immune PID algorithm that only proportional gain is adjusted by the immune system,a new double fuzzy immune PID control method based on the common immune PID is proposed taking a hydraulic turbine governor as an example.In the method in addition to the regulation of proportional gain in conventional immune PID algorithm,a fuzzy immune system for adjusting derivative gain is created by taking the derivative of sampling time deviation in derivative gain regulation system as the quantity of antigens.Two fuzzy immune systems are used to regulate the proportional gain and derivative gain respectively and the change of the integral gain is derived by fuzzy reasoning.The simulation result shows that the overshoot of the hydraulic turbine governor is reduced by 28% and setting time is shortened by 5% under the designed system work condition,parameters perturbation and external disturbances.