高级延迟系统的直接模糊自适应调节:一个利亚普诺夫-拉祖米金函数方法
IEEE transactions on cybernetics
|June 23, 2023
概括
本研究为非线性延迟系统引入了一种新的自适应控制方法,消除了缓慢时间延迟假设和不确定性. 这种方法可以确保像机器人手臂这样的系统的信号界限和准确的输出跟踪.
科学领域:
- 控制系统工程 控制系统工程
- 机器人技术 机器人技术 机器人技术
- 非线性动力学是一种非线性动力学.
背景情况:
- 传统的控制方法由于缓慢的时间延迟假设和系统不确定性而面临局限性.
- 参数变化,控制系数的不确定性和不对称的死区输入阻碍了强大的控制.
- 在这些具有挑战性的条件下,现有的方法经常与高阶非线性系统作斗争.
研究的目的:
- 为高阶非线性延迟系统开发一种新的自适应控制策略.
- 克服缓慢时间延迟假设和多个系统不确定性所造成的局限性.
- 为了确保强大的跟踪性能和信号界限性.
主要方法:
- 为了稳定性分析,使用了一个新的Lyapunov-Razumikhin (L-R) 函数.
- 实施了直接模糊的自适应调节方案.
- 设计了一个没有内存的自适应反控制器.
主要成果:
- 成功删除了缓慢时间延迟假设.
- 解决了多个不确定性,包括参数,控制系数和不对称的死区输入.
- 保证了参考信号的输出跟踪.
- 确保所有封闭系统信号的边界性.
结论:
- 拟议的自适应控制方法对高阶非线性延迟系统有效.
- L-R 函数和模糊的自适应方案提供了一个强大的控制解决方案.
- 该方案在单链机器人系统上成功演示,验证了其实际适用性.
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