基于粒子群优化的起重机吊重系统LQR控制

doi:10.16039/j.cnki.cn22-1249.2022.11.007

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摘要

通过一种新型欠驱动系统解耦算法对门式起重机吊重系统进行解耦，并通过粒子群优化LQR权值矩阵实现了最优控制，通过实验仿真，实现了吊重系统的精确定位控制和稳摆控制，使系统具有较强的抗内部扰动能力，具有比较重要的实际应用价值。

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	曲媛媛
	李勇
	齐峰

关键词: 吊重系统解耦 LQR控制粒子群算法

Abstract:

The gantry crane lifting system is decoupled by a new underdrive system decoupling algorithm, and the optimal control is realized through the particle swarm optimization LQR weight matrix. According to experimental simulation, the precise positioning control and stable swing control of the lifting system are realized, so that the system has strong resistance to internal disturbance and has important practical application value.

Key words: lifting system decoupling LQR control particle swarm optimization

出版日期: 2022-11-25 发布日期: 2022-11-25 整期出版日期: 2022-11-25

ZTFLH:

TP273

引用本文:

曲媛媛, 李勇, 齐峰. 基于粒子群优化的起重机吊重系统LQR控制 [J]. 吉林化工学院学报, 2022, 39(11): 34-37.
QU Yuanyuan, LI Yong, QI Feng. LQR Control of Crane Lifting System based on Particle Swarm Optimization . Journal of Jilin Institute of Chemical Technology, 2022, 39(11): 34-37.

链接本文:

http://xuebao.jlict.edu.cn/CN/10.16039/j.cnki.cn22-1249.2022.11.007 或 http://xuebao.jlict.edu.cn/CN/Y2022/V39/I11/34

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