气动控制的FOPID控制器设计具有超低超越,快速响应和增强的稳固性
Yuxin He1, Aixiang Ma1, Yuehui Wang1
1School of Mechanical and Electrical Engineering, China University of Mining & Technology, Beijing, 100083, China.
Scientific reports
|February 6, 2025
概括
一个新的分数顺序比例积分导数 (FOPID) 控制器,使用混合基因算法-河马优化 (GAHO) 进行了优化,显著提高了气动控制的性能. 这种先进的控制器提高了工业系统的稳定性,准确性和效率.
科学领域:
- 控制工程 控制工程 控制工程
- 工业自动化 工业自动化
- 机械电子学是什么意思 机械电子学
背景情况:
- 气动控制对于工业生产和能源效率至关重要,但PID等传统控制器存在局限性.
- 由于固有的结构约束,在气动控制系统中实现高精度是具有挑战性的.
- 当前的控制方法往往难以满足速度,稳定性和准确性要求.
研究的目的:
- 开发和验证用于气动控制的新型分数顺序比例积分导数 (FOPID) 控制器.
- 为了提高FOPID控制器的优化过程,使用混合元启发算法.
- 与传统方法相比,在速度,稳定性和准确性方面表现出卓越的性能.
主要方法:
- 一个分数顺序的比例积分导数 (FOPID) 控制器被设计用于气动控制.
- 采用了混合优化策略,将遗传算法 (GA) 和河马优化 (HO) 结合起来.
- 在优化过程中纳入了一种新的超标罚款目标函数.
- 进行模拟和实验验证,以评估控制器的性能.
主要成果:
- 对GAHO优化的FOPID控制器实现了5.25秒的定位时间.
- 拟议的控制器表现出0.88%的最小超越率.
- 在模拟和实验中,性能明显超过了传统的PID和模糊控制方法.
结论:
- 提出的基于GAHO的FOPID控制器为提高气动控制的性能提供了有效的解决方案.
- 这种先进的控制策略提高了工业气动系统的稳定性,效率和安全性.
- 该研究强调了分数顺序控制和混合优化对要求高的工业应用的潜力.
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