具有和执行器的2D重复控制系统的深度优化设计:一个自适应的多人群PSO算法
Yibing Wang1, Manli Zhang1, Chengda Lu1
1School of Automation, China University of Geosciences, Wuhan 430074, China; Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan 430074, China; Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education, Wuhan 430074, China.
ISA transactions
|June 9, 2023
概括
本研究介绍了一种优化设计的二维修改重复控制系统 (MRCS),其中包含一个反倒置补偿器. 该方法提高了性能和稳定性,特别是在执行器和下,使用先进的优化技术.
科学领域:
- 控制系统工程 控制系统工程
- 机器人和自动化 机器人和自动化
- 优化理论 优化理论
背景情况:
- 重复控制系统 (RCS) 对于跟踪周期信号是有效的,但可能对执行器和敏感.
- 设计修改重复控制系统 (MRCS) 的现有方法经常在和约束下优化性能方面扎.
- 执行器和会导致控制系统的性能下降和不稳定.
研究的目的:
- 开发一个优化设计方法,用于一个二维修改的重复控制系统 (MRCS) 与一个反倒置补偿器.
- 为了确保MRCS的稳定性和提高参考跟踪性能,特别是在执行器和的情况下.
- 通过引入用于直接绩效评估的新型成本函数来减少优化时间.
主要方法:
- 使用提升技术建立了MRCS的二维混合模型,包括执行器和.
- 基于线性矩阵不平等 (LMI) 的足够条件被推导出来保证系统的稳定性.
- 采用了自适应的多种群粒子群优化算法,并采用了新的时间域成本函数来优化关键调整参数.
主要成果:
- 拟议的基于LMI的条件确保了MRCS的稳定性.
- 新型成本函数有效评估控制性能,减少优化时间.
- 适应性多种群粒子群集优化成功确定了最佳调参数.
- 添加一个反倒闭项可以减轻执行器和的不良影响.
结论:
- 开发的优化设计方法有效地提高了2D MRCS的性能和稳定性,并提供了反倒闭补偿.
- 该方法通过在旋转控制系统上的模拟和实验结果来验证.
- 该方法为面临执行器和挑战的控制系统提供了强大的解决方案.
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