The point-to-point multi-region energy-saving trajectory planning for a mechatronic elevator system

被引:6
作者
Chen, Kun-Yung [1 ]
Fung, Rong-Fong [2 ]
机构
[1] Air Force Inst Technol, Dept Mech Engn, 198 Jieshou W Rd, Kaohsiung 820, Taiwan
[2] Natl Kaohsiung First Univ Sci & Technol, Dept Mech & Automat Engn, 1 Univ Rd, Kaohsiung 824, Taiwan
关键词
Constraint condition; Input absolute electrical energy (IAEE); Mechatronic system; Self-learning particle swarm optimization (SLPSO); TIME; ROBOT; DESIGN; MODEL;
D O I
10.1016/j.apm.2016.06.001
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A mechatronic elevator system driven by a permanent magnet synchronous motor (PMSM) is completely modeled by the mechanical and electrical equations. The electrical energy equation, including input, dissipation, magnetic and kinetic energies, is formulated for energetic analysis. The adjusting fraction, defined as the flight time from null to maximum acceleration with respect to the total acceleration time, is optimized by the self-learning particle swarm optimization (SLPSO) method in minimizing the input absolute electrical energy (IAEE). In this paper, multi-region trajectories of high-degree polynomials with constraints of maximum acceleration and velocity are planned, and the flight time and the IAEE are compared numerically. The main contribution of this paper is to propose a methodology in the point-to-point (PTP) multi-region energy-saving trajectory planning for any mechatronic system. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:9269 / 9285
页数:17
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