具有最佳模型银行形成的自适应多模型预测控制:考虑本地模型的不确定性和稳定性
Mohammad Fathi1, Hossein Bolandi1, Bahman Ghorbani Vaghei2
1Electrical Engineering Department, Iran University of Science and Technology, Narmak, Tehran, Iran.
Heliyon
|December 6, 2024
概括
本研究介绍了一种先进的多重模型控制 (MMC) 系统,具有最佳模型库和自适应控制器. 这种新的方法确保了复杂的非线性系统的系统稳定性和高性能.
科学领域:
- 控制系统工程 控制系统工程
- 自动化和机器人技术
- 航空航天工程 航空航天工程
背景情况:
- 多模控制 (MMC) 系统需要精确的组件设计以获得最佳性能.
- 挑战包括优化模型/控制器银行,确保在模型不确定性和顺利切换的情况下保持稳定.
研究的目的:
- 通过提出设计最佳模型银行,自适应控制器银行和软切换监管算法的综合方法来应对MMC的挑战.
- 确保闭环系统在子空间和过渡期间的稳定性,即使局部模型存在不确定性.
主要方法:
- 使用自动集群的最佳模型银行设计.
- 适应式多模型预测控制器银行的设计.
- 在模型控制器对之间进行软切换的监督算法的开发.
主要成果:
- 拟议的控制系统确保了单个子空间和过渡期间的闭环稳定性.
- 尽管局部模型存在不确定性,但稳定性得到维持.
- 在卫星态度控制系统上验证了有效性和性能.
结论:
- 开发的MMC系统有效地处理不确定性,并确保复杂,非线性或交换系统的稳定性.
- 该方法承诺高控制性能和强大的稳定性,用于具有挑战性的应用.
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