非线性系统的故障耐受性规定的性能控制过程故障和执行器故障的非线性系统
1State Key Laboratory of Synthetical Automation of Process Industries, Northeastern University, Shenyang 110819, China.
ISA transactions
|November 7, 2023
概括
本研究提出了一种对未知非线性系统的耐故障控制方法,这些系统面临过程故障和执行器故障. 该方法确保了精确的系统性能,而不需要故障特征或复杂的模型.
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.
- 耐故障控制控制的控制方式
背景情况:
- 对于未知的非线性系统,研究了容错性规定的性能控制.
- 解决多输入单输出 (MISO) 系统中过程故障和执行器故障所带来的挑战.
- 考虑具有乘法和加法非线性性的一般非线性系统.
研究的目的:
- 为未知的非线性系统开发一个容错的规定的性能控制策略.
- 通过不要求明确的故障信息或复杂的系统模型来克服现有方法的局限性.
- 为了实现可靠的参考跟踪与预定义的性能限制.
主要方法:
- 提出一种复杂度较低,要求较低的容错控制方法.
- 控制器设计独立于特定的故障信息或系统模型结构.
- 仅依赖于过程故障的边界性和非线性函数的连续性.
主要成果:
- 成功实现了预定义速度和精度的参考跟踪.
- 通过对单链机器人进行比较模拟来证明有效性和优越性.
- 控制器不需要故障诊断或神经/模糊近似.
结论:
- 拟议的控制方法为未知非线性系统的耐故障控制提供了强大而高效的解决方案.
- 强调了独立于模型和独立于故障信息的控制战略的优点.
- 验证了机器人系统中的实际适用性和性能提升.
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