Functional Based Adaptive and Fuzzy Sliding Controller for Non-Autonomous Active Suspension System

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概要

• 論文の詳細を見る

• In this paper, an adaptive sliding controller is developed for controlling a vehicle active suspension system. The functional approximation technique is employed to substitute the unknown non-autonomous functions of the suspension system and release the model-based requirement of sliding mode control algorithm. In order to improve the control performance and reduce the implementation problem, a fuzzy strategy with online learning ability is added to compensate the functional approximation error. The update laws of the functional approximation coefficients and the fuzzy tuning parameters are derived from the Lyapunov theorem to guarantee the system stability. The proposed controller is implemented on a quarter-car hydraulic actuating active suspension system test-rig. The experimental results show that the proposed controller suppresses the oscillation amplitude of the suspension system effectively.

• 一般社団法人日本機械学会の論文
• 2006-12-15

著者

• CHEN Hung-Yi

  Department of Pharmacy, China Medical College

• Chen Hung-yi

  Department Of Mechanical Engineering Mingchi University Of Technology

• HUANG Shiuh-Jer

  Department of Vehicle Engineering, National Taipei University of Technology

• Huang Shiuh-jer

  Department Of Vehicle Engineering National Taipei University Of Technology

• Huang Shiuh-jer

  Department Of Mechanical Engineering National Taiwan University Of Science And Technology

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