225 A new active vibration isolation control method based on CMAC neural network(General Session III)

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概要

• 論文の詳細を見る

• Considering the nonlinearities in active vibration isolation system and the deficiencies of generally used control methods, a novel adaptive neuro-control method is proposed. In this control structure, the CMAC neural network is adopted as controller, and an improved Simultaneous Perturbation Algorithm(SPA), which is proven a stochastic gradient approximation method, is presented to update controller weights without modelling the secondary path. The performance of the control system is verified by numerical simulation, and simulation results show that the proposed method has good isolation performance for system with some nonlinearities.

• 一般社団法人日本機械学会の論文
• 2005-05-31

著者

• Zhang Lei

  Office No.303 School Of Automation Science And Electrical Engineering Beihang University

• LIU Yongguang

  Office No.303, School of Automation Science and Electrical Engineering, Beihang University

• FU Yongling

  Office No.303, School of Automation Science and Electrical Engineering, Beihang University

• Liu Yongguang

  Office No.303 School Of Automation Science And Electrical Engineering Beihang University

• Fu Yongling

  Office No.303 School Of Automation Science And Electrical Engineering Beihang University

関連論文

• 225 A new active vibration isolation control method based on CMAC neural network(General Session III)

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