北京航空航天大学学报 ›› 2007, Vol. 33 ›› Issue (03): 294-297.

• 论文 • 上一篇    下一篇

电液伺服速度系统的模糊增益调度控制

马俊功, 王世富, 王占林   

  1. 北京航空航天大学 自动化科学与电气工程学院, 北京 100083
  • 收稿日期:2006-04-25 出版日期:2007-03-31 发布日期:2010-09-19
  • 作者简介:马俊功(1969-),男,内蒙古武川人,讲师,jgma@buaa.edu.cn.

Fuzzy gain scheduling control for electro-hydraulic servo velocity system

Ma Jungong, Wang Shifu, Wang Zhanlin   

  1. School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
  • Received:2006-04-25 Online:2007-03-31 Published:2010-09-19

摘要: 针对电液伺服速度系统的非线性和参数时变特性,提出了模糊增益调度控制方法.根据系统的输出误差和误差的一阶微分变化,利用模糊推理在线实时更改比例积分微分(PID,Proportion Integral Differential)控制器参数以适应工作点的变化,使系统控制参数达到全局优化,解决了一般增益调度中控制参数只是对于某一工作点局部优化的问题;在确定P和I隶属度函数时,引入指数函数保证了系统稳准前提下响应的快速性.试验研究表明,与单纯PID控制器相比,模糊增益调度缩短了动态响应时间、降低了超调、减小了负载扰动,说明该方法对非线性系统和未能精确建模系统大范围控制的有效性.

Abstract: Considering the nonlinear and the parameters variability, which vary widely with the working condition in the electro-hydraulic servo velocity system, fuzzy gain scheduling controller was developed. Based on the change of output error and its differential, the PID(proportion integral differential)parameters of controller were changed online by fuzzy reasoning in order to adapt the variety of set point and this made the control parameters reach the global optimization, solved the local optimization problem in the common gain scheduling. In the course of determine membership function of P and I, exponential function was introduced and this ensured the fast response and stability of system. Test results indicate that comparing with PID, the method accelerates the dynamic response, reduces the overshoot and load turbulence effectively too. So it is very validity for nonlinear system and the mathematic prototype system that can-t be built easily.

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