飞机液压伺服系统EHA的遗传优化控制仿真  

Genetic Optimal Control Simulation of Electro-hydrostatic Actuator for Aircraft Hydraulic Servo System

作　　者：王云鹏[1] 郭创[1] 陈勇[1] 谢伟[1] 

机构地区：[1]空军工程大学航空航天工程学院,陕西西安710038

出　　处：《计算机仿真》2016年第11期53-57,62,共6页Computer Simulation

基　　金：国家自然科学基金资助项目(61304120)

摘　　要：飞机电静液作动器(electro-hydrostatic actuator,EHA)是一个液压伺服系统,存在强非线性与外界不确定干扰,传统PID控制难以达到良好的控制效果。为了提高EHA控制器的控制效果,改善液压伺服系统的综合性能,提出了一种遗传算法优化的滑模控制方法用于EHA控制系统。在建立液压伺服系统EHA模型的基础上,采用线性切换函数与指数趋近律设计了滑模控制器结构,利用实数编码的自适应遗传算法对几个重要的控制参数进行了寻优整定。仿真结果表明,上述控制方法与PID控制相比提高了控制效果,使系统具有更好的动态响应特性与精度,改善了液压伺服系统的综合性能。As an aircraft hydraulic servo system, the electro-hydrostatic actuator（EHA） combines nonlinear and uncertain characteristics, controlso it is difficult for traditional PID to meet the favorable control effect. In the paper, we proposed a sliding model control method optimized by genetic algorithm, and applied it in the EHA control system to improve effects of the controller and comprehensive properties of the hydraulic servo system. With the derivation of the system model, a sliding model controller was designed using linear switching function and exponential reaching law, and several important control parameters were optimized by adopting real-coded adaptive genetic algorithm. The simulation results show that the control method has better dynamic response and precision in comparison with PID control, and effectively improves the system properties.

关 键 词：遗传算法 滑模控制 动态响应 精确度 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]