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可变论域的模糊控制系统 被引量:4

Fuzzy Logic Control System Based on Changeable Discourse of Universe
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摘要 提出了应用当前误差及误差变化率设计一个模糊变量的方法。通过仿真研究与传统PID控制和常规模糊控制进行了比较 ,结果表明该方法具有控制快速、准确的效果 ,从而提高了模糊控制的品质。 According to error and the variations of the error, this paper introduces a fuzzy variable α to dynamically change the discourse of universe of FLC′s output on the condition of the same fuzzy rule sets and scaling factors.Simulation and compare of this scheme with traditional PID control and general FLC demonstrates the efficacy of this scheme such as more rapid and tighter control performance.
作者 谢克明 王芳
出处 《太原理工大学学报》 CAS 2002年第1期23-25,共3页 Journal of Taiyuan University of Technology
基金 山西省自然科学基金资助项目 (2 0 0 0 10 3 4) 山西省留学回国人员基金资助项目 (2 0 0 0 2 7)
关键词 模糊控制 可变论域 模糊变量 误差变化率 fuzzy control changeable discourse of universe fuzzy variable
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参考文献3

  • 1[1]Xie keming, Jianfeng Nan, T Y Lin. A New Fast Fuzzy-neural Feedback Network and Its Application to Steam Temperature Control System in Power Plant[C]. IFAC′99,Beijing,1999:339-344.
  • 2[2]Keming Xie, T Y Lin, Jianfeng Nan.A Fuzzy-Neural Network Based on the TS Model with Dynamic Consequent Parameters and its Application to Steam Temperature Control System in Power Plants[C]. IFSA′99, Taiwan,1999:690-694.
  • 3[3]X M Qi, T C Chin.Genetic Algorithm-based Fuzzy Controller for High Order Systems[J].fuzzy sets syst,1997,91:279-284.

同被引文献26

  • 1董萍,吴捷,杨金明,陈渊睿.风力发电机组建模研究现状[J].太阳能学报,2004,25(5):612-619. 被引量:26
  • 2童春霞,张天桥.仿人智能PID控制器设计[J].计算机仿真,2005,22(1):191-193. 被引量:13
  • 3Zadeh L A. Fuzzy Sets[J]. Information and control, 1965(8) : 338-354.
  • 4Ogata K.Modern Control Engineering,3rd Ed[J].Bangalore Sanguine Technical Publishers,1997,93(1):63.
  • 5Xue Dingyü,Chen Yang Quan,Atherton D P.Linear Feedback Control Analysis and Design with MATLAB[J].International Journal of Systems Science,2007,19(6):979-984.
  • 6?str?m K J,H?gglund T.PID controllers:Theory,Design and Tuning[M].Instrument Society of America Research Triangle Park Nc,1995:15-18.
  • 7Shen J C.New tuning method for PID controller[J].ISA Transactions,2002,41(4):473-484.
  • 8Herreros A,Baeyens E,Perán J R.Design of PID-type controllers using multiobjective genetic algorithms[J].Isa Transactions,2002,41(4):457-472.
  • 9Zhang J,Zhuang J,Du H,et al.Self-organizing genetic algorithm based tuning of PID controllers[J].Information Sciences,2009,179(7):1007-1018.
  • 10Zafer Bingul.A New PID Tuning Technique Using Differential Evolution for Unstable and Integrating Processes with Time Delay[D].Springer Berlin Heidelberg,2004(3316):254-260.

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