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一种鲁棒稳定模糊控制器的优化设计与仿真 被引量:1

Optimization Design and Simulation of the Fuzzy Controller with Rubost Stability
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摘要 提出了一种鲁棒稳定模糊控制器优化设计方法。该法引入小增益理论确保控制系统的稳定,采用范数度量模型集的界,用遗传算法优化控制器参数,使得优化后模糊控制器具有一定的稳定裕量和一定的性能要求。水轮机调速器鲁棒稳定模糊控制系统仿真结果证明该方法的有效性。 This paper presents a method of optimizing design of a fuzzy controller. Introducing the small gain theorem to stable the control system with uncertainties assumed to be norm bound, the fuzzy controller with certain stable allowance and certain performance requirement is completed based on the genetic algorithms. The simulation of the hydro-turbine governing system shows the effectives of the proposed approach.
出处 《机电工程》 CAS 2005年第11期25-28,共4页 Journal of Mechanical & Electrical Engineering
关键词 模糊控制器 鲁棒稳定 小增益定理 遗传算法 fuzzy controller rubost stability small gain theorem genetic algorithms
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参考文献3

  • 1Tanaka K,Ikeda T,Wang H O. Fuzzy Regulatorsand Fuzzy Observers:Relaxed Stability Conditions and LMI-Based Designs[J]. IEEE Trans Fuzzy Systems,1998,6(2) :250-265.
  • 2Cao Y Y, Frank P M. Analysis and Synthesis of Nonlinear Time-delay Systems via Fuzzy Control Approach [J]. IEEE Trans Fuzzy Systems,2000,8(2) :200-212.
  • 3Kim D, Rhee S. Design of an Optimal Fuzzy Logic Controller Using Response Surface Methtodology [J]. IEEE Trans on Fuzzy Systems ,2001,9 (3) :404-412.

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