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为了克服PIDPFC算法不能在线进行参数自整定的缺点,提高发电机运行的稳定性,使其具有更高的精度,将模糊控制算法与PIDPFC算法相结合,运用模糊逻辑控制实现了PIDPFC控制参数在线自整定,完善了常规的PIDPFC控制器,提高了其控制精度以及系统的鲁棒性能。将模糊PIDPFC控制算法应用于同步发电机励磁系统中,通过Matlab仿真,并与PFC、PIDPFC控制器的仿真结果进行比较,可以看出模糊PIDPFC控制器具有更好的控制效果,PIDPFC中3个参数的整定简单而精确。研究结果表明,在模糊PIDPFC控制下的系统具有更好的动态性能和静态性能。在电力系统动态模拟实验室进行试验,结果跟之前软件仿真达到的效果一样。
In order to overcome the shortcomings that PIDPFC algorithm can not self-tune parameters online and improve the stability of generator operation, it has higher accuracy. Combining fuzzy control algorithm and PIDPFC algorithm, fuzzy logic control is used to realize PIDPFC control parameters online Setting and perfecting the conventional PIDPFC controller improve its control precision and system robustness. The fuzzy PIDPFC control algorithm is applied to excitation system of synchronous generator. By Matlab simulation and comparison with the simulation results of PFC and PIDPFC controllers, it can be seen that the fuzzy PIDPFC controller has better control effect. The three parameters of PIDPFC The tuning is simple and precise. The results show that the system under fuzzy PIDPFC control has better dynamic performance and static performance. Experiments are performed in a dynamic simulation laboratory of the power system, and the result is the same as that achieved by the previous software simulation.