用线性分数表示的线性变参数离散系统的预览控制

IF 2.7 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Li Li, Yanrong Lu, Hui Ye
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引用次数: 0

摘要

为了创建离散线性变参系统的混合跟踪控制器,本工作引入了一种采用线性分数表示(LFR)的独特控制策略。在参考信号可预览的前提下,提出了一种带有预览补偿的控制器设计策略。首先,通过在初始系统状态/输入中添加两个附加的关联辅助参数,将预览跟踪控制问题转变为调节器问题,从而进一步创建包含参考信号未来信息的增强误差系统。然后,建议的条件依赖于利用与LFR方法相关的决策矩阵的松弛变量,以便给出创新的预览控制器设计。我们还通过考虑参数相关的Lyapunov函数和全块乘法器构造了简化的保守合成情况。为了创建状态反馈和输出反馈预览跟踪控制器,设计要求被描述为线性矩阵不等式。最后完成了两个仿真研究,以突出所建议的控制策略的成功程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Preview control for linear parameter-varying discrete-time systems using a linear fractional representation

In order to create a mixed tracking controller for discrete-time linear parameter-varying (LPV) systems, this work introduces a unique control strategy employing a linear fractional representation (LFR). Under the premise that the reference signal can be previewable, a design strategy for a controller with preview compensations is suggested. First, a preview tracking control issue is changed into a regulator problem by adding two additional linked auxiliary parameters into the initial system state/input, which further creates more enhanced error systems incorporating future information of reference signals. The suggested conditions then depend on utilizing slack variables with decision matrices related to the LFR approach in order to give innovative preview controller designs. We also construct reduced conservative synthesis situations by taking into account parameter-dependent Lyapunov functions and full-block multipliers. In order to create state-feedback and output-feedback preview tracking controllers, design requirements are characterized as linear matrix inequalities. Two simulation studies are completed as the last step to highlight how successful the suggested control strategy is.

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来源期刊
Asian Journal of Control
Asian Journal of Control 工程技术-自动化与控制系统
CiteScore
4.80
自引率
25.00%
发文量
253
审稿时长
7.2 months
期刊介绍: The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application. Published six times a year, the Journal aims to be a key platform for control communities throughout the world. The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive. Topics include: The theory and design of control systems and components, encompassing: Robust and distributed control using geometric, optimal, stochastic and nonlinear methods Game theory and state estimation Adaptive control, including neural networks, learning, parameter estimation and system fault detection Artificial intelligence, fuzzy and expert systems Hierarchical and man-machine systems All parts of systems engineering which consider the reliability of components and systems Emerging application areas, such as: Robotics Mechatronics Computers for computer-aided design, manufacturing, and control of various industrial processes Space vehicles and aircraft, ships, and traffic Biomedical systems National economies Power systems Agriculture Natural resources.
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