Adaptive error feedback regulation problem of a first-order hyperbolic PDE system with unknown exosystem

IF 3.9 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Xin Wang, Feng-Fei Jin
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引用次数: 0

Abstract

This paper studies the output regulation problem for a first-order hyperbolic PDE system with disturbances generated by an unknown finite-dimensional exosystem. The main challenges arise from unbounded control and observation operators, as well as non-collocated input–output configuration. We first introduce a coordinate transformation that simplifies the system dynamics. Next, based on the transformed system, we design an observer and apply an adaptive internal model principle to estimate the unknown harmonic frequencies of the exosystem. We present a controller that achieves exponentially stable output regulation for the resulting closed-loop system. Finally, the effectiveness of the controller is demonstrated through numerical simulations which demonstrate effective parameter tracking, g(0,t) (the regulated output) achieves accurate tracking of Φref(t) (the reference signal), and the solution remain uniformly bounded of the g-part in closed-loop system.
未知外系的一阶双曲PDE系统的自适应误差反馈调节问题
研究了一类具有未知有限维外系统扰动的一阶双曲PDE系统的输出调节问题。主要挑战来自无界控制和观察操作符,以及非配置的输入输出配置。我们首先引入一个坐标变换来简化系统动力学。然后,基于变换后的系统,设计观测器,应用自适应内模原理估计系统的未知谐波频率。我们提出了一种控制器,使闭环系统的输出调节达到指数稳定。最后,通过数值仿真验证了该控制器的有效性。仿真结果表明,g(0,t)(被调节输出)实现了对参考信号Φref(t)的精确跟踪,且在闭环系统中g部分解保持一致有界。
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来源期刊
Journal of Process Control
Journal of Process Control 工程技术-工程:化工
CiteScore
7.00
自引率
11.90%
发文量
159
审稿时长
74 days
期刊介绍: This international journal covers the application of control theory, operations research, computer science and engineering principles to the solution of process control problems. In addition to the traditional chemical processing and manufacturing applications, the scope of process control problems involves a wide range of applications that includes energy processes, nano-technology, systems biology, bio-medical engineering, pharmaceutical processing technology, energy storage and conversion, smart grid, and data analytics among others. Papers on the theory in these areas will also be accepted provided the theoretical contribution is aimed at the application and the development of process control techniques. Topics covered include: • Control applications• Process monitoring• Plant-wide control• Process control systems• Control techniques and algorithms• Process modelling and simulation• Design methods Advanced design methods exclude well established and widely studied traditional design techniques such as PID tuning and its many variants. Applications in fields such as control of automotive engines, machinery and robotics are not deemed suitable unless a clear motivation for the relevance to process control is provided.
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