基于模糊控制在线整定新趋近律的速度调节器研究

针对传统指数趋近律滑模变结构控制抖振大和参数整定难的问题，设计了一种新的滑模趋近律并采用模糊控制以实现参数整定。在双闭环直流调速系统中，基于新趋近律设计了速度调节器；同时为了提高趋近律参数整定效率，利用模糊控制设计了趋近律参数在线整定方法，通过模糊控制在线整定新趋近律的滑模参数来提高系统的调速性能。在Matlab/Simulink中搭建直流调速系统的仿真模型，结果表明所设计的新趋近律在抑制抖振和快速收敛方面优于传统指数趋近律，相较于试凑法模糊控制在线整定趋近律参数的效率更高、性能更好。

Research on Speed Regulator Based on Fuzzy Control Online Tuning New Reaching Law

For the problem of large chattering and difficult parameter tuning of traditional exponential reaching law sliding mode variable structure control, a new sliding mode reaching law is designed and fuzzy control is used to realize parameter tuning. In the double closed-loop DC speed regulation system, a speed regulator is designed based on the new reaching law. At the same time, in order to improve the efficiency of reaching law parameter tuning, an online tuning method of reaching law parameters is designed by using fuzzy control. The sliding mode parameters of the new reaching law are adjusted online by fuzzy control to improve the speed regulation performance of the system. The simulation model of DC speed regulation system is built in Matlab/Simulink, the results show that the new reaching law is superior to the traditional exponential reaching law in suppressing chattering and fast convergence, and the fuzzy control online tuning reaching law parameters is more efficient and performs better than the trial and error method.