电动平台单缸控制器设计及仿真

Design and Simulation of Electric Platform Single Cylinder Controller

为解决电动平台实际运行中控制系统受参数变化和负载波动而导致电动缸性能变差的问题,提出一种基于模糊自适应PID控制系统的设计方法。将模糊自适应理论引入电动平台系统控制中,对单电动缸伺服系统进行建模仿真,并在Matlab的模糊逻辑工具箱中建立仿真模型,并进行仿真分析。实际使用结果表明:模糊自适应PID控制器在改善被控过程的动态性能、稳态性能和抗干扰性能力等方面明显优于PID控制,且控制器设计简单,易于工程实现,大大提高平台的控制精度,完全满足飞行训练技术指标要求。

In order to solve the actual operation of the electric platform control system parameter variations and load fluctuations lead to poor performance of the electric cylinder, put forwards a method based on fuzzy adaptive PID control system. Introduce the fuzzy adaptive theory into the electric platform control system. Carry out the modeling and simulation for the single electric cylinder servo system, the simulation model created by Matlab fuzzy logic toolbox, and then take the simulation analysis. The results show that the use of fuzzy adaptive PID controller to improve the dynamic performance of the controlled process, the steady-state performance and anti-interference is obviously superior to the PID control, and the controller is simple and easy for engineering implementation, improving the control precision greatly, meet the technical requirements of flight training.