优化了模糊逻辑和滑动模式控制,以保持稳定性和在旋转倒置摆中拒绝干扰
Thi-Van-Anh Nguyen1, Quy-Thinh Dao2, Ngoc-Tam Bui3
1Hanoi University of Science and Technology, Hanoi, 11615, Vietnam.
Scientific reports
|December 29, 2024
概括
本研究介绍了旋转倒置摆形 (RIP) 的混合控制框架,将优化模糊逻辑控制 (OFLC) 与滑动模式控制 (SMC) 结合起来. 这种新的方法提高了非线性系统的稳定性和强度,即使在干扰下.
科学领域:
- 控制系统工程 控制系统工程
- 非线性动力学是一种非线性动力学.
- 机器人技术 机器人技术 机器人技术
背景情况:
- 传统的控制方法与诸如旋转反向摆形 (RIP) 等系统固有的非线性和复杂性作斗争.
- 需要先进的控制策略,在动态环境中提供更好的稳定性,稳定性和精度.
研究的目的:
- 开发和验证一个新的混合控制框架,用于旋转倒置摆形 (RIP).
- 提高RIP控制系统的适应性,精度和干扰排斥能力.
- 为了证明集成优化模糊逻辑控制器 (OFLC) 与滑动模式控制 (SMC) 和扩展状态观察器 (ESO) 的有效性.
主要方法:
- 一种混合控制策略,结合了优化模糊逻辑控制器 (OFLC) 和滑动模式控制 (SMC).
- 粒子群集优化 (PSO) 与OFLC集成,以提高适应性和精度.
- 一个扩展状态观察器 (ESO) 提供准确的状态估计和减少传感器依赖.
- 进行广泛的模拟以验证控制框架的性能.
主要成果:
- 拟议的混合控制器显著提高了旋转倒置摆形 (RIP) 的稳定性和稳定性.
- 与传统方法相比,证明了优越的干扰排斥能力.
- 在控制中达到高精度,即使在外部干扰和系统不确定性下.
- 扩展状态观察员 (ESO) 提供了准确的状态估计,减少了对传感器的依赖.
结论:
- 新的混合控制框架为控制像RIP这样的非线性系统提供了强大的和有效的解决方案.
- OFLC,SMC和ESO的协同组合在控制工程方面取得了重大进展.
- 这种方法在复杂的控制系统中具有广泛的应用潜力,需要精确和稳定的操作.
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