模糊PID预测函数控制在励磁系统中应用  

Application of Fuzzy PID Predictive Function Control Algorithm in Excitation System

作　　者：郭伟[1] 邓玲[1] 倪家健[1] 

机构地区：[1]南京信息工程大学信息与控制学院电气工程系,江苏南京210044

出　　处：《控制工程》2013年第4期778-781,共4页Control Engineering of China

基　　金：南京信息工程大学大学生科技创新项目资助

摘　　要：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 defect that PIDPFC algorithm parameters cannot realize self - organizing adjusting online and to improve the generator operating stability to acquire higher precision, fuzzy control algorithm combined with PIDPFC algorithm is adopted to implement PIDPFC control parameters online self - organizing adjusting and to consummate common PIDPFC controller to have higher control precision and robustness by using fuzzy logical control. This fuzzy PIDPFC control algorithm was applied to synchronous genera- tor excitation system. Results through Matlab simulation confirm that, compared with PFC and PIDPFC control, the fuzzy PIDPFC controller shows better controlling ability and parameters adjusting ability. System under control of the PIDPFC shows better dynamic and static performance. Testing in the power System dynamic simulation laboratory gets the same results as the simulation.

关 键 词：模糊控制 PID预测函数控制 同步发电机励磁控制 

分 类 号：TP27[自动化与计算机技术—检测技术与自动化装置]