飞轮电池模糊控制策略研究  

Research on Fuzzy Control Strategy Based on FPGA Controller

作　　者：张云聪 谢振宇[1] 程伟超 郝建胜 ZHANG Yuncong;XIE Zhenyu;CHENG Weichao;HAO Jiansheng(National Key Laboratory of Science and Technology on Helicopter Transmission,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)

机构地区：[1]南京航空航天大学直升机传动技术重点实验室,江苏南京210016

出　　处：《机械制造与自动化》2020年第4期149-153,157,共6页Machine Building & Automation

基　　金：国家自然科学基金资助项目(51275238)。

摘　　要：针对飞轮电池工作转速高、越过临界转速时转子振动大以及系统的非线性和控制参数不确定性等特点,开发了模糊自调整PID控制策略,实现了控制参数的在线调整。运用MATLAB模糊逻辑控制工具箱设计模糊控制规则,运用Simulink实现了不完全微分PID和模糊自调整PID控制策略仿真,分析对比了两种控制策略对系统动态性能的影响。在Quartus II平台搭建了模糊PID控制模块,利用EP4CE22 FPGA控制板在飞轮电池试验台上实现了飞轮转子的稳定运行。仿真和试验结果均表明,模糊自调整PID控制对转子的振动具有较好的抑制作用,提高了飞轮系统的动态性能。Aiming at the characteristics of high operating speed of flywheel battery,high rotor vibration at critical speed and system nonlinearity and uncertain control parameters,a fuzzy self-adjusting PID control strategy is developed,and the on-line adjustment of control parameters is realized.The fuzzy control rules are designed by using the fuzzy logic control toolbox of MATLAB,and the simulation of incomplete differential PID and fuzzy self-adjusting PID control strategy is achieved by Simulink.The influence of the two control strategies on the dynamic performance of the system is analyzed and compared.The fuzzy PID control module is built on the Quartus II platform.The stable operation of the flywheel rotor is realized by using the EP4CE22 FPGA controller on the flywheel battery test rig.The simulation and experimental results show that the fuzzy self-adjusting PID control strategy can help to restrain the vibration of the rotor and improve the dynamic performance of the flywheel system more effectively.

关 键 词：模糊控制 PID控制 FPGA MATLAB/SIMULINK 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]