Volume 33 Issue 03
Mar.  2007
Turn off MathJax
Article Contents
Ma Jungong, Wang Shifu, Wang Zhanlinet al. Fuzzy gain scheduling control for electro-hydraulic servo velocity system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(03): 294-297. (in Chinese)
Citation: Ma Jungong, Wang Shifu, Wang Zhanlinet al. Fuzzy gain scheduling control for electro-hydraulic servo velocity system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(03): 294-297. (in Chinese)

Fuzzy gain scheduling control for electro-hydraulic servo velocity system

  • Received Date: 25 Apr 2006
  • Publish Date: 31 Mar 2007
  • 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.

     

  • loading
  • [1] 王占林.液压伺服控制[M].北京:北京航空学院出版社, 1987:389-400 Wang Zhanlin. Hydraulic severe control[M]. Beijing:Beijing Institute of Aeronautics and Astronautics Press,1987:389-400 (in Chinese) [2] 蔡永强,裘丽华,王占林.力伺服系统的模糊自适应控制[J].北京航空航天大学学报,1999,25(1):22-25 Cai Yongqiang, Qiu Lihua, Wang Zhanlin. Adaptive fuzzy control for loading servo system[J]. Journal of Beijing University of Aeronautics and Astronautics, 1999,25(1) :22-25(in Chinese) [3] Gündo g ^ du , Erentürk K. Fuzzy control of a dc motor driven four-bar mechanism[J]. Mechatronics, 2005, 15(4):423-438 [4] Mahmoud M, Dutton K, Denman M. Design and simulation of a nonlinear fuzzy controller for a hydropower plant[J]. Electric Power Systems Research, 2005, 73(2):87-99 [5] Paramasivam S, Arumugam R. Hybrid fuzzy controller for speed control of switched reluctance motor drives[J]. Energy Conversion and Management, 2005, 46(9):1365-1378 [6] Tong Shaocheng, Li Hanxiong, Wang Wei. Observer-based adaptive fuzzy control for SISO nonlinear systems[J]. Fuzzy Sets and Systems, 2004, 148(3):355-376
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views(3154) PDF downloads(1026) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return