基于hysteresis操作员的自适应卡尔曼前进控制用于混合动力不情愿执行器的扫描运动
Yunlang Xu1, Liang Guo2, Datong Pan2
1State Key Laboratory of Precision Manufacturing for Extreme Service Performance, Central South University, Changsha, 410083, China; College of Mechanical and Electrical Engineering, Central South University, Changsha, 410083, China.
ISA transactions
|October 8, 2024
概括
本研究介绍了基于Chua操作员的Kalman前补偿器 (COKFC),以改善在扫描动作期间的混合不情愿执行器 (HRA) 控制. COKFC有效地减轻了非线性扰动,以提高性能.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 执行器技术 执行器技术
- 非线性动力学是一种非线性动力学.
背景情况:
- 混合不情愿执行器 (HRA) 广泛用于扫描运动.
- 非线性干扰,如歇斯底里和流体泄漏,会降低HRA控制性能.
研究的目的:
- 为了提高HRA系统在扫描运动任务中的控制性能.
- 引入一种自适应的前方法,以减轻非线性扰动.
主要方法:
- 开发了一个基于楚亚运营商的卡尔曼前补偿器 (COKFC) 用于HRA控制.
- 利用Chua运算符来模拟反向歇斯底里行为.
- 采用了改进的卡尔曼波器来实现实时参数调整.
主要成果:
- 与先进的方法相比,COKFC方法显示出更高的控制性能.
- 在基于HRA的阶段 (HRA-BS) 的实验评估证实了有效性.
- 实现了非线性扰动的显著缓解.
结论:
- 拟议的COKFC方法为精确的HRA扫描运动控制提供了强大的解决方案.
- 这种方法有效地解决了HRA固有的非线性.
- 对于需要精确的执行器控制的实际应用,COKFC具有很高的潜力.
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