动态事件触发的适应控制电液伺服机制的动态事件触发
1State Key Laboratory of Precision Manufacturing for Extreme Service Performance, Central South University, Hunan, 410083, China; The National Enterprise R&D Center, Sunward Intelligence Equipment Co., Ltd., Hunan, 410100, China.
ISA transactions
|May 28, 2025
概括
本研究介绍了一种用于电液伺服机制的新型自适应性强有力的控制算法,通过减少数据传输来提高性能. 该方法使用Pi-sigma模糊神经网络增强的有限时间延长状态观察器来改进状态估计和控制.
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
- 人工智能的人工智能
背景情况:
- 电液式伺服机制面临的挑战包括有限的通信,无法测量的状态和模型不确定性.
- 现有的控制方法难以平衡性能与通信效率.
研究的目的:
- 开发一种适应性强大的控制算法,用于电液式伺服机制.
- 解决受限制的数据通信,无法测量的状态和建模不确定性的问题.
- 为了提高控制精度和减少通信负载.
主要方法:
- 一个新的动态事件触发的自适应强大控制算法,集成Pi-sigma模糊神经网络 (PSFNN) 和有限时间延长状态观察器 (FTESO).
- 用PSFNN增强的FTESO估计了无法衡量的状态和不确定性.
- 动态事件触发机制旨在根据观察到的状态偏差和虚拟跟踪错误最小化数据传输.
- 使用有限时间后退控制架构.
主要成果:
- 拟议的算法有效地估计了不可测量的状态和建模不确定性.
- 动态事件触发机制显著降低了数据传输要求.
- 适应性稳定控制法确保位置跟踪错误的快速趋同.
- 与现有方法相比,模拟证实了优越的性能.
结论:
- 开发的控制算法为电液式伺服机制提供了强大而高效的解决方案.
- 它成功地减轻了与通信限制和系统不确定性相关的挑战.
- FTESO和PSFNN的整合提供了准确的状态估计和适应性控制.
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