期刊文献+

气动位置伺服系统的T-S型模糊控制研究 被引量:2

Study on T-S Fuzzy Control for Pneumatic Position Servo System
下载PDF
导出
摘要 针对气动位置伺服系统特性随工作点位置和负载变化而变化的特点,提出采用基于Takagi-Sugeno模型(T-S模型)的模糊控制。以比例流量阀控摆动气缸位置伺服系统为例,研究了建立气动位置伺服系统的T-S型模糊控制器的一些关键技术,包括前提变量的确定、子系统的划分、模糊子集隶属函数的确定以及局部控制器的设计等。试验结果表明,采用所建T-S型模糊控制器,在较大范围内的任意负载下,执行元件行程范围内的任意位置,系统都具有良好的响应特性。 In order to make the pneumatic position servo system adaptable to the variations of the operating positions and payloads, fuzzy control based on Takagi-Sugeno model(shorted as T-S model) was proposed to be used. Taking the pneumatic rotary actuator position servo system with proportional valve as an example, the key techniques to design T-S fuzzy controller for pneumatic position servo system was studied, including the choice of the premise variables, the division of the subsystems,the definition of the membership functions of premise variables, the design of the local controllers and so on. With the developed T-S fuzzy controller, a lot of experiments had been carried out. Experimental results show that the system has better control performance for any positions within the stroke of the actuator and any payloads in a certain range.
出处 《中国机械工程》 EI CAS CSCD 北大核心 2008年第2期150-154,共5页 China Mechanical Engineering
基金 山西省高校科技研究开发项目(2007141)
关键词 气动位置伺服系统 TAKAGI-SUGENO模糊模型 模糊控制器 pneumatic position servo system Takagi-Sugeno fuzzy model fuzzy controller
  • 相关文献

参考文献7

  • 1朱春波,包钢,程树康,王祖温.基于比例阀的气动伺服系统神经网络控制方法的研究[J].中国机械工程,2001,12(12):1412-1414. 被引量:11
  • 2陈奎生,易建钢,黄浩,刘光临.气动位置伺服系统的NN-IMC控制研究[J].中国机械工程,2004,15(23):2138-2142. 被引量:9
  • 3Kevin M P,Stethen Y.模糊控制[M].北京:清华大学出版社,2002.
  • 4Schutle H, Hahn H. Identification with Blended Multi-model Approach in the Frequency Domain: an Application to a Servo Pneumatic Actuator[C]// IEEE/ASME International Conference on Advanced Intelligent Mechatronics Proceedings. Piscataway, NJ, 2001 : 757-762.
  • 5Edmond R,Yildirim H. A High Performance Pneumatic Force Actuator System: Part Ⅰ - Nonlinear Mathematical Model [J]. Journal of Dynamic Systems Measurement and Control, 2000,122 ( 3 ) : 416- 425.
  • 6Shu Ning,Gary M B. High Steady-state Accuracy Pneumatic Servo Positioning System with PVA/PV Control and Friction Compensation [C]//Proceedings of the 2002 IEEE International Conference on Robotics & Automation. Washington, DC, 2002: 2824-2829.
  • 7柏艳红,李小宁.基于比例流量阀的气动位置伺服系统的一种非线性补偿方法[J].液压与气动,2007,31(7):52-55. 被引量:6

二级参考文献9

  • 1柏艳红,李小宁.摆动气缸位置伺服系统带摩擦力矩补偿的双环控制研究[J].南京理工大学学报,2006,30(2):216-222. 被引量:11
  • 2Knohl T, Unbehauen H. Adaptive Position Control of Electrohydraulic Servo Systems Using ANN. Journal of Mechatronics, 2000,10(1):127~143
  • 3Tanaka K, Yamada Y, Shimizu A. Multi-Rate Adaptive Pole-Placement Control for Pneumatic Servo System with Additive External Forces. 4th International Work-shop on Advanced Motion Control,Tsu,Jatan,1996
  • 4Miller W T, Sutton R S, Werbos P J. Neura1 Network for Control. Cambridge: MIT Press, 1990
  • 5Jinhua L, Kanya T.Intelligent Control for Pneumatic Servo System. International Journal of Mechanical Systems, Machine Elements and Manufacturing,2003,46(2):699~704
  • 6Tanaka K. Improved Design Scheme of MRAC for Pneumatic Servo System with Additive External Forces. Trans. Japan Society Mechanical Engineering,1997, 63(613):3110~3116
  • 7Edmond Richer,Yildirim Hurmuzlu.A high performance pneumatic force actuator system:Part I-nonlinear mathematical model[J].Transactions of ASME,Journal of Dynamic Systems Measurement and Control,2000,122(3):416-425.
  • 8李宝仁,朱玉泉,许耀铭.气动位置伺服系统的自适应控制研究[J].中国机械工程,1998,9(3):4-8. 被引量:11
  • 9周洪.气动伺服定位技术及其应用[J].液压与气动,1999,23(1):18-21. 被引量:31

共引文献21

同被引文献17

  • 1郑艳,郑秀萍,褚俊霞,井元伟.基于T-S模型的体操机器人系统模糊变结构控制[J].控制与决策,2006,21(1):34-37. 被引量:10
  • 2徐文灿.电动缸与气缸[J].液压气动与密封,2006,26(2):19-24. 被引量:30
  • 3Tanaka K, Wang H O. Fuzzy Control Systems Design and Analysis: a Linear Matrix Inequality Approach[M]. New York : Wiley, 2001.
  • 4Takagi T, Sugeno M. Fuzzy Identification of Systems and Its Aapplications to Modeling and Control [J]. IEEE Trans. Syst., Man, Cybern.,1985, 15 (1) :116-132.
  • 5Hwang C L. A Novel Takagi--sugeno--based Ro bust Adaptive Fuzzy Sliding Mode Controller[J]. IEEE Trans. Fuzzy Syst. , 2004,12 (5): 676-687.
  • 6Cheng C C,Chien S H. Adaptive Sliding Mode Controller Design Based on T--S Fuzzy System Models [J]. Automatica, 2006,42 (6) : 1005-1010.
  • 7Fung R F,Chen K W,Yen J Y. Fuzzy Sliding Mode Controlled Slider--crank Mechanism Using a PM Synchronous Servo Motor Drive[J]. Int. J. of Mechanical Sciences, 1999,41 : 337-355.
  • 8Lin C M, Hsu C F. Adaptive Fuzzy Sliding-- mode Con trol for Induction Servo- motor Systems[J]. IEEE Trans. on Energy Conversion,2004,2(19):362-368.
  • 9Dutch National Team.Compressed air:savings of 30% are quite normal[J].CADDET Energy Efficiency,Newsletter,1999(3):14-16.
  • 10蔡茂林,藤田壽憲,香川利春.空気庄駆動システムにゎけるェネルキ消费こその評価[J].日本油空圧学会論文集,2001,32(5):118-123.

引证文献2

二级引证文献24

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部