概括
本研究引入了对具有输入和的非线性系统的双灵活规定的性能控制 (DFPPC). 这种新的方法提高了对初始条件和输入和度的弹性,确保稳定的跟踪性能.
科学领域:
- 控制工程 控制工程 控制工程
- 非线性系统理论 非线性系统理论
- 机器人技术 机器人技术 机器人技术
背景情况:
- 对于输入和高阶非线性系统 (IS-HONS) 的现有规定的性能控制 (PPC) 方法通常使用固定的性能约束边界 (PCB),限制初始错误容忍度.
- 这些方法经常忽视性能约束和输入和之间的相互作用,导致和发生时的脆弱性.
研究的目的:
- 为IS-HONS开发一个双灵活的规定的性能控制 (DFPPC) 方法.
- 为了提高控制系统对初始条件和输入和的稳定性.
- 为了确保准确的跟踪性能,同时在可适应的边界内保持错误.
主要方法:
- 基于拉力模型的新型PCB的设计,可以根据输出和输入约束动态调整.
- 开发一种适应机制,使PCB在输入和期间扩展并随后恢复.
- 参数调整以适应各种初始错误.
主要成果:
- 拟议的DFPPC方法证明了对各种初始条件的弹性.
- 它通过自适应调整PCB来有效平衡输入和和性能限制.
- 确保所有闭环信号的半全球界限性和PCB内部的准确跟踪.
结论:
- DFPPC算法为控制IS-HONS提供了一个强大的解决方案.
- 它确保稳定的系统性能和精确的跟踪,即使在输入和下.
- 由于PCB的适应性,可以提高控制策略的实际适用性.
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