MULTI-OBJECTIVE PARTICLE SWARM OPTIMAL DESIGN OF PD CONTROL

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• 英文论文题名：MULTI-OBJECTIVE PARTICLE SWARM OPTIMAL DESIGN OF PD CONTROL
• 论文作者：XIN Ying ; QIN Zhi-chang ; SUN Jian-qiao
• 英文论文作者：XIN Ying ; QIN Zhi-chang ; SUN Jian-qiao ; Department of Mechanics ; Tianjin University ; School of Engineering ; University of California
• 年：2016
• 作者机构：Department of Mechanics, Tianjin University;School of Engineering, University of California;
• 英文论文关键词：Multi-objective optimization ; PD tuning technique ; Multi-objective Particle Swarm Optimization Algorithm
• 会议召开时间：2016-05-06
• 会议录名称：第十届动力学与控制学术会议摘要集
• 语种：英文
• 分类号：TP18;O232
• 学会代码：AGLU
• 会议名称：第十届动力学与控制学术会议
• 会议地点：中国四川成都
• 主办单位：中国力学学会动力学与控制专业委员会
• 学会名称：中国力学学会
• 页数：1
• 文件大小：741k
• 原文格式：D
• 会议级别：全国

摘要

This paper presents a study of optimal control design for a nonlinear dynamical system with the multi-objective particle swarm optimization(MOPSO) algorithm. The multi-objective optimal design of the nonlinear control involves 4 design parameters and 6 objective functions. The multiobjective particle swarm optimization algorithm finds the Pareto set and Pareto front efficiently. Numerical simulation and experiment validation are done on the rotary inverted pendulum system to verify this tuning technique. Numerical and experimental results show that the MOPSO tuning technique is quite effective.
This paper presents a study of optimal control design for a nonlinear dynamical system with the multi-objective particle swarm optimization(MOPSO) algorithm. The multi-objective optimal design of the nonlinear control involves 4 design parameters and 6 objective functions. The multiobjective particle swarm optimization algorithm finds the Pareto set and Pareto front efficiently. Numerical simulation and experiment validation are done on the rotary inverted pendulum system to verify this tuning technique. Numerical and experimental results show that the MOPSO tuning technique is quite effective.

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