控制理论(社会学)
线性二次高斯控制
振动
控制器(灌溉)
随机振动
鲁棒控制
参数化复杂度
最优投影方程
振动控制
自适应控制
计算机科学
控制工程
控制系统
最优控制
工程类
数学
数学优化
算法
人工智能
物理
控制(管理)
电气工程
量子力学
农学
生物
作者
Haichun Ding,Feng Li,Fanfan Qian,Tingyue Xu,Tianqi Liu,Zhizheng Wu,Suresh Sivanandam,Amir Iqbal
标识
DOI:10.1177/10775463231226140
摘要
In mechatronic systems, the vibrations which commonly consist of band-limited random signals mixed with large multiple narrow-band deterministic signals may negatively impact the system performance. For example, due to the incomplete matching of the mechanism and the rotation of the motor, random and deterministic vibration disturbance may occur in the supporting platform of the rotating liquid mirror. In this paper, a robust Youla ( Q) parameterized adaptive regulation approach has been proposed to minimize such kind of vibration signals for the rotating platform system with model uncertainties. Firstly, the inner-loop robust controller with linear quadratic Gaussian with loop transfer recovery ( LQG/LTR) is optimally designed by choosing the suitable weighting functions to achieve the trade-off between robust stability and control performance to deal with random vibration signals. Then the Youla parameter is augmented to construct a set of Q-parameterized stabilizing controllers, and the robust stability of the system is analyzed through dual-Youla parameterization of the uncertain model. The recursive least squares (RLS) adaptive algorithm is developed to tune the Q parameter online to construct a desired adaptive controller for further residual vibration elimination. An experimental evaluation of the controller in reducing the vibration of the supporting platform of a rotating liquid mirror has been carried out, and the results illustrate that the proposed adaptive robust vibration regulation approach can effectively suppress the band-limited random and narrow-band deterministic vibration signals.
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