基于观察者的自适应离散层次的滑动模式控制,用于具有输入和度的工业头部起重机
Lixin Wei1, Qingshun Liu2, Xin Li2
1Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao 066004, Hebei Province, China; School of Electrical and Engineering, Yanshan University, Qinhuangdao, 066004, China.
ISA transactions
|January 30, 2026
概括
这项研究引入了一个自适应的离散层次式滑动模式控制器 (AHSMC) 和一个自适应的卢恩伯格-卡尔曼波器 (ALKF) 观察器,以改善头部起重机的反摇摆控制,有效地减轻输入和问题.
科学领域:
- 控制系统工程 控制系统工程
- 机器人技术 机器人技术 机器人技术
- 机械电子学是什么意思 机械电子学
背景情况:
- 工业上空起重机由于输入和和不准确的状态估计而遭受控制性能恶化.
- 抗摇摆控制对于高架起重机的高效和安全运行至关重要.
- 现有的方法很难同时处理状态估计的不准确性和输入和度.
研究的目的:
- 开发一个先进的控制策略,用于顶部起重机的反摇摆控制,解决输入和,提高状态估计的准确性.
- 提高工业环境中空吊起重机系统的稳定性和性能.
- 为抑制有效载荷波动提供稳定有效的解决方案.
主要方法:
- 一个级联观测器 (ALKF) 集成一个Luenberger观测器和一个具有适应权重的自适应卡尔曼波器被设计用于增强状态估计.
- 开发了一种具有输入和补偿机制的自适应离散层次滑动模式控制器 (AHSMC).
- 控制器动态调整滑动模式达到法参数,以抵消输入和效应.
主要成果:
- 拟议的ALKF观察员显著提高了状态估计的稳定性和准确性.
- AHSMC有效地抑制了输入和对控制性能的不利影响.
- 在0.5重的工业头起重机上进行的比较实验表明,它具有优越的压制摆动能力.
结论:
- 集成的ALKF观察器和AHSMC提供了一个强大而有效的解决方案,用于空头起重机的反摇摆控制.
- 拟议的方法提高了系统的稳定性和性能,特别是在输入和条件下.
- 实验验证证证实了开发的控制方案的实际适用性和卓越性能.
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