使用Takagi-Sugeno模糊模型增强反转的稳定性控制,具有干扰拒绝和输入输出约束
Thi-Van-Anh Nguyen1, Bao-Trung Dong2, Ngoc-Tam Bui3
1Hanoi University of Science and Technology, Hanoi, 11615, Vietnam. anh.nguyenthivan1@hust.edu.vn.
Scientific reports
|September 2, 2023
概括
这项研究通过优化模糊规则和使用Lyapunov定理来稳定,增强了Takagi-Sugeno (T-S) 旋转倒置的模糊控制. 它通过干扰拒绝和输入/输出约束实现了强大的控制.
科学领域:
- 控制系统工程 控制系统工程
- 模糊逻辑系统 模糊逻辑系统
- 机器人技术 机器人技术 机器人技术
背景情况:
- 塔卡吉-苏杰诺 (T-S) 模糊模型在控制系统中得到广泛应用.
- 在优化TS模型参数和确保稳定性方面存在挑战.
- 利亚普诺夫定理和线性矩阵不等式 (LMI) 为强大的控制提供了潜在的解决方案.
研究的目的:
- 为了应对TS模糊系统中的控制挑战.
- 为了优化前提变量选择和模糊规则准确性.
- 通过使用集成控制策略,实现旋转倒置摆形 (RIP) 的强大稳定性.
主要方法:
- 用莱普诺夫定理进行稳定性分析.
- 开发了一个基于LMI的理论,用于干扰排斥.
- 在复审期间对输出角度和控制输入施加了约束.
- 集成的TS模糊控制与干扰拒绝和约束.
主要成果:
- 成功确定了TS模型的最佳前提变量和准确的模糊规则.
- 使用基于LMI的定理实现了有效的干扰排斥.
- 在通过综合方法控制复审期方面表现出强大的稳定性.
- 模拟结果验证了拟议的控制方法的有效性.
结论:
- 结合TS模糊控制,干扰排斥和输入/输出约束的综合方法确保了RIP控制的稳定性.
- 提出的方法是高效和有效的,通过广泛的模拟验证.
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