基于命令波器的事件触发控制用于具有有限时间规定的性能的随机MEMS陀螺仪
Yu Xia1, Chengguo Liu1, Yaoyao Tuo1
1State Key Laboratory of Mechanical Transmission for Advanced Equipment, Chongqing University, Chongqing 400044, China.
ISA transactions
|April 5, 2024
概括
这项研究介绍了对随机微电子机械系统 (MEMS) 陀螺仪的自适应神经控制. 新的战略确保了有限时间的规定的性能,提高了控制准确性和资源效率.
科学领域:
- 控制系统工程 控制系统工程
- 神经网络的神经网络的神经网络
- 在 MEMS 技术方面,MEMS 技术
背景情况:
- 随机微电子机械系统 (MEMS) 陀螺仪表现出复杂的非线性动态和外部干扰.
- 现有的控制策略经常与有限时间性能和计算复杂性作斗争.
- 在控制系统中有效利用资源仍然是一个重大挑战.
研究的目的:
- 开发一种适应性神经控制策略,用于随机MEMS陀螺仪.
- 在有限的时间内实现规定的性能.
- 为了提高控制精度,同时降低通信负载.
主要方法:
- 利用辐射基函数神经网络来建模未知的系统动态和干扰.
- 采用有限时间规定的性能函数和命令过的后退步骤来实现强大的控制.
- 实施一个切换值事件触发控制法,以优化通信资源.
主要成果:
- 输出跟踪错误的保证趋同到一个小的残余集合.
- 确保封闭循环系统信号的半全球最终均边界在概率上.
- 通过数值模拟证明了有效性和优越性.
结论:
- 拟议的自适应神经控制策略有效地管理了随机MEMS陀螺仪动态.
- 实现了有限时间规定的性能和减少通信负载.
- 这种控制方法为MEMS陀螺仪控制应用提供了卓越的解决方案.
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