分数顺序非线性开关系统的故障重建算法,基于最佳容故障控制
IEEE transactions on cybernetics
|August 19, 2024
概括
本研究介绍了小数序非线性开关系统 (FONSS) 的新型故障重建算法. 开发的方法通过自适应控制和神经网络来确保系统稳定性和故障补偿.
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.
- 故障诊断和耐受性问题
背景情况:
- 分数级非线性系统 (FONSS) 容易发生执行器和传感器故障.
- 现有的故障重建方法在系统切换期间可能会面临暂时稳定性的挑战.
研究的目的:
- 为FONSSs开发新的故障重建算法.
- 为了解决这些系统中的执行器和传感器故障.
- 为了提高系统的稳定性和故障耐受性.
主要方法:
- 将故障FONSS转换为快速和缓慢的子系统,使用全局差异均质转换.
- 在观察者设计中整合持久停留时间 (PDT) 切换以确保稳定性.
- 使用演员关键神经网络 (NN) 设计一个最佳的自适应性容错控制策略.
主要成果:
- 成功重建了FONSSs中的故障.
- 在快速和慢速子系统中实现了错误动态的稳定性.
- 通过模拟证明了有效的故障补偿.
结论:
- 建议的故障重建算法和自适应式故障耐受性控制策略对FONSS有效.
- 整合PDT切换和基于NN的控制为有故障的系统提供了强大的解决方案.
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