高温超导发电机励磁系统变论域模糊控制

Variable Universe Fuzzy Control of High Temperature Superconducting Generator Excitation System

针对高温超导电机励磁系统,对励磁系统的控制策略进行了设计,提出了模糊控制与常规的PID控制相结合的控制策略。在常规PID的基础之上加入模糊推理算法,同时在此基础之上加入变论域模糊控制,通过对论域伸缩因子函数模型以及模糊控制规则的选取,利用计算机处理器来实现模糊控制,使系统的控制精度得到进一步的提高。并且为了便于在其他控制策略上移植,采用了离散时间系统进行控制策略设计。通过建立系统仿真模型分别将模糊PID控制与变论域模糊PID控制效果进行了比较,结果显示变论域模糊PID控制具有更好的动、静态性能。

In this paper,aiming at the excitation system of HTS motor,the control strategy of the excitation system is designed,and the control strategy combining fuzzy control with conventional PID control.The method is based on the conventional PID fuzzy inference algorithm added,At the same time,based on this,a variable-domain fuzzy control is added.Through the selection of the scalable factor function model and the fuzzy control rules,the fuzzy control is realized by the computer processor,so that the control precision of the system is further improved.In order to facilitate the transplantation in other control strategies,the discrete-time system is adopted to design the control strategy.Through the establishment of system simulation model,fuzzy PID control and variable-domain fuzzy PID control are compared.The results show that the variable-domain fuzzy PID control has better dynamic and static performance.