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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/52091


    Title: Optimization of the exponential stabilization problem in active suspension system using PSO
    Authors: Tung,SL;Juang,YT;Lee,WH;Shieh,WY;Wu,WY
    Contributors: 電機工程學系
    Keywords: PARTICLE SWARM OPTIMIZATION;ADAPTIVE-CONTROL;DESIGN
    Date: 2011
    Issue Date: 2012-03-28 10:15:14 (UTC+8)
    Publisher: 國立中央大學
    Abstract: This paper proposes an active suspension mechanism for three-degree-of-freedom (3-DOF) twin-shaft vehicles of front axle suspension with bounded uncertainties using exponential decay control and particle swarm optimization (PSO) techniques. A new exponential stabilization criterion of the system via the dynamic state feedback control is derived and the optimization problem of exponential stabilization is discussed. The optimization problem is solved by using PSO method to guarantee all the states of vehicles in an optimal exponential decay in nearly real-time. Simulation results in both frequency and time domains show that the vibration characteristics of vehicles for the proposed active suspension system achieve significant improvements over the passive and linear quadratic (LQ) active suspension systems. (C) 2011 Elsevier Ltd. All rights reserved.
    Relation: EXPERT SYSTEMS WITH APPLICATIONS
    Appears in Collections:[電機工程學系] 期刊論文

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