对于未知相对程度的不确定非线性系统,基于政策代的主动干扰拒绝控制.
IEEE transactions on cybernetics
|March 3, 2025
概括
本研究为不确定非线性系统引入了一种基于政策代的新型主动干扰排斥控制 (ADRC). 它实现了实时跟踪性能,不需要系统动态或知道相对程度.
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.
- 人工智能的人工智能
背景情况:
- 不确定的非线性系统带来了重大控制挑战,特别是实现精确的实时跟踪.
- 传统的控制方法通常需要详细的系统模型和对比度等参数的知识.
- 主动干扰拒绝控制 (ADRC) 为处理不确定性提供了一个框架,但将其适应到未知的相对程度仍然是复杂的.
研究的目的:
- 为不确定的非线性系统提出基于政策代的主动干扰排斥控制 (ADRC).
- 为了实现实时输出跟踪性能,无论系统的特定相对程度如何.
- 整合强化学习 (RL) 进行自适应控制参数调.
主要方法:
- 一个部分控制输入生成器与基于政策代的强化学习 (RL) 代理组合在一起.
- RL代理人反复地改进政策以调整度重量,增强正确的部分控制输入的影响.
- 为了确保闭环系统的稳定性,使用Lyapunov稳定定理和亲密的二次稳定性质.
主要成果:
- 拟议的ADRC方法成功实现了不确定非线性系统的实时输出跟踪.
- RL代理可自适应地调整度重量,改善控制性能,而无需事先了解相对度.
- 在永久磁铁同步电机上的模拟和实验结果证明了该方法的有效性和稳定性.
结论:
- 基于政策代的ADRC与RL提供了一种无模型和相对程度不可知的方法来控制不确定的非线性系统.
- 该方法保证了所有闭环信号的半全球均最终边界性,确保了稳定性.
- 这种方法显著减少了对详细系统信息的需求,使其广泛适用.
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