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    Please use this identifier to cite or link to this item: https://ir.lib.ksu.edu.tw/handle/987654321/20272


    Title: Dynamic Modeling and Minimum-Energy Trajectory Planning for the Mechatronic Elevator System
    Authors: Chen, Kun-Yung
    Huang, Ming-Shyan
    Fung, Rong-Fong
    Contributor: Institute of Engineering Science and Technology, National Kaohsiung First University of Science and Technology
    Department of Mechanical and Automation Engineering, National Kaohsiung First University of Science and Technology
    Keywords: Mechatronic elevator system
    Minimum-energy Trajectory Planning
    Particle swarm optimization (PSO)
    Polynomial trajectory design
    Date: 2013-11-02
    Issue Date: 2013-11-06 17:00:51 (UTC+8)
    Abstract: The mechatronic elevator system driven by a permanent magnet synchronous motor (PMSM) is modeled by both the mechanical and electrical equations. The dimensionless forms are also derived for the purpose of practicable upward and downward movements. In this paper, the high-degree normalized polynomial trajectory (NPT) is designed by the particle swarm optimization (PSO) and self-learning particle swarm optimization (SLPSO) methods to search for its coefficients by minimizing the input absolute electrical energy (IAEE). It is found that the nineteen-degree (19-D) NPT by the SLPSO has the minimum IAEE for the mechatronic elevator system.
    Appears in Collections:[機械工程系所] Automation 2013- The 12th International Conference on Automation Technology

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