通过饱和对抛物面槽式太阳能集热器进行鲁棒双线性跟踪控制

IF 3.3 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Sarah Mechhoud , Zehor Belkhatir
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引用次数: 0

摘要

本文研究了抛物槽式太阳能集热器(PTSC)中热量传输的鲁棒跟踪控制问题,其中输出必须跟踪所需的参考轨迹。在这项工作中,PTSC 采用状态空间双线性动力学建模。操纵变量是泵的容积流量,源项(即太阳辐照度)假定是不可测量的。此外,执行器的物理约束会对操纵变量产生饱和约束,需要在控制器设计中明确考虑。为了应对这些挑战,我们首先提出了一种满足控制目标的饱和状态反馈定律。然后,我们使用自适应估计器重建未知时变源项。之后,通过 Lyapunov 稳定性分析,我们证明了闭环系统和输出跟踪误差是均匀最终稳定的。数值模拟证明了所提控制策略的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust bilinear tracking control of a parabolic trough solar collector via saturation
This paper investigates the problem of robust tracking control of heat transport in a Parabolic Trough Solar Collector (PTSC), where the output has to track a desired reference trajectory. In this work, the PTSC is modeled by state-space bilinear dynamics. The manipulated variable is the pump volumetric flow rate, and the source term, i.e., solar irradiance, is assumed to be unmeasured. In addition, the actuator’s physical constraints induce saturation bounds on the manipulated variable and need to be considered explicitly in the controller design. To deal with these challenges, we first propose a saturated state-feedback law that meets the control objectives. Then, we reconstruct the unknown time-varying source term using an adaptive estimator. Later, through Lyapunov stability analysis, we prove that the closed-loop system and the output tracking error are uniformly ultimately stable. Numerical simulations attest to the performance of the proposed control strategy.
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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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