基于不平等方法 (MOI) 的双旋转器MIMO系统的灵活混合优化与H∞控制 - - 一项实验研究
Nadir Abbas1, Xiaodong Liu1, Jamshed Iqbal2
1Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China.
本研究为不确定的多输入多输出 (MIMO) 系统 (如无人机) 提供了一个强大的基于H∞模型的控制方法. 该方法通过适应性地管理系统不确定性和交叉合动态来提高稳定性和性能.
科学领域:
- 控制系统工程 控制系统工程
- 航空航天工程 航空航天工程
- 机器人技术 机器人技术 机器人技术
背景情况:
- 多输入多输出 (MIMO) 系统的不确定性,特别是无人机 (UAV),带来了重大控制挑战.
- 传统的控制方法经常与复杂系统固有的未建模的动力学,噪声和参数变化作斗争.
研究的目的:
- 为不确定的MIMO系统开发一个强大的基于H∞模型的控制方法,特别关注无人机应用.
- 通过自适应控制策略,应对包括未建模的动态,噪声干扰和参数变化的挑战.
主要方法:
- 一个灵活的混合优化框架,使用不平等方法 (MOI).
- 一个两步控制器设计:非线性动态倒置 (NDI) 与系统脱,其次是与MOI集成的H∞控制.
- 适应性控制以平衡无人机系统中强大的稳定性和性能.
主要成果:
- 在MATLAB/Simulink中的模拟验证了拟议的强有力的控制方法.
- 显示了显著的改进,包括减少稳定状态错误和超越.
- 与传统控制方法相比,实现了更快的系统响应时间.
结论:
- 提出的基于H∞模型的控制方法有效地管理无人机中复杂的交叉合动态.
- 适应性策略提供了卓越的稳定性和性能,优于传统技术.
- 这种方法为加强对不确定的MIMO系统的控制提供了一个有希望的解决方案.
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