适应性模糊命令过控制不确定分数顺序的非线性系统与完整状态约束
Ruixia Liu1, Yang Han1, Lei Xing2
1School of Automation, Xi'an University of Posts and Telecommunications, Xi'an, 710000, China.
Scientific reports
|February 7, 2025
概括
本研究提出了一个适应性的模糊控制策略,用于分数顺序的非线性系统. 该方法确保系统状态保持在约束范围内,同时管理不确定性和干扰.
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.
- 分数微积分的计算.
背景情况:
- 分数顺序 (FO) 非线性系统存在复杂的控制挑战.
- 模型不确定性,外部干扰和完整状态约束使控制设计复杂化.
- 现有的控制方法可能会在FO系统中与"复杂性爆炸"作斗争.
研究的目的:
- 为FO非线性系统开发一个强大的自适应模糊控制策略.
- 确保所有系统状态保持在预定义的约束范围内.
- 有效处理模型不确定性和外部干扰.
主要方法:
- 使用命令过器的自适应性模糊控制策略.
- 非对称屏障 Lyapunov 执行状态约束的功能.
- 模糊逻辑系统用于近似未知非线性项.
- 分数级命令过器用于管理虚拟控制信号衍生品.
- 错误补偿功能,以解决过不准确的问题.
- 利亚普诺夫稳定性分析以保证系统的局限性.
主要成果:
- 拟议的控制器成功地在约束范围内保持系统状态.
- 证明了对模型不确定性和外部干扰的有效处理.
- "复杂性爆炸"的问题得到了缓解.
- 稳定性分析证实了所有系统信号的局限性.
- 模拟示例验证了控制器的性能.
结论:
- 具有命令过器的自适应模糊控制策略对于FO非线性系统是有效的.
- 该方法确保了约束满足和对不确定性的稳定性.
- 该方法为复杂的分数顺序控制问题提供了可行的解决方案.
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