优化模型预测控制,以提高多轴起重机的动态稳定性和方向精度
Abdulhakeem Muhammed Ali1, Yusuf Abubakar Sha'aban2, Ahmed Tijani Salawudeen3
1Department of Computer Engineering, Ahmadu Bello University, Zaria, Nigeria.
PloS one
|July 2, 2025
概括
本研究介绍了多轴起重机的优化模型预测控制 (MPC),显著提高了方向效率和路径跟踪性能. 新系统提高了稳定性,并减少了不同速度的错误.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 机械工程 机械工程
- 汽车工程 汽车工程
背景情况:
- 多轴起重机由于高惯性而表现出较差的转向效率和路径跟踪.
- 现有的控制策略,如PID,LQR和标准MPC,在转向效率和路径跟踪之间提供了权衡.
- 需要先进的控制系统来提高多轴起重机的机动性.
研究的目的:
- 开发和评估一个优化的模型预测控制 (MPC) 以加强多轴起重机的方向控制.
- 为了同时提高方向盘效率和路径跟踪性能.
- 通过不同驾驶速度和条件验证拟议的控制策略.
主要方法:
- 一个自行车模型被采用来代表多轴起重机的动力.
- 模型预测控制 (MPC) 是为方向盘系统设计的.
- 使用气味剂优化 (SAO) 技术在MPC框架内优化转向输入权重因子.
- 模拟是在一个曲的道路路径上以每小时25公里,45公里和65公里的速度进行的.
- 在AnyLogic中开发了一个3D模拟模型,用于视觉验证.
主要成果:
- 优化的MPC显示,在不同转速时,转向效率显著提高 (高达46.02%).
- 动态稳定性得到增强,改进范围从1.03%到4.17%.
- 路径跟踪性能显示了实质性的收益,侧向误差降低了高达27.52%,曲角度误差降低了高达29.25%.
- 优化的系统在模拟中表现优于现有的MPC转向方案.
结论:
- 优化的MPC,利用SAO进行调整,为多轴起重机提供了卓越的方向控制.
- 提出的方法有效地平衡了转向效率和路径跟踪性能.
- AnyLogic 3D模拟验证了开发系统的增强机动性和跟踪精度.
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