不稳定一阶加死区系统PID控制器的整定

IF 1 Q4 ENGINEERING, CHEMICAL

Chemical Product and Process Modeling Pub Date : 2023-06-22 DOI:10.1515/cppm-2023-0027

Jianyu Bi, W. Tan, Mei Yu

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引用次数: 0

摘要

摘要本文针对不稳定一阶加死区（UFOPDT）系统，对比例积分微分（PID）控制器进行了调谐。在鲁棒性测度的约束下，利用遗传算法对UFOPDT系统的PID控制器参数进行求解。通过曲线拟合，控制器参数表示为UFOPDT模型参数的函数。提出了两个考虑闭环系统鲁棒性和抗扰性与鲁棒性之间折衷的调谐公式。所提出的整定公式扩展了现有方法的应用范围，仿真结果表明，所提出的PID控制器对UFOPDT系统具有良好的性能。

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Tuning of PID controllers for unstable first-order plus dead time systems

Abstract In this paper, proportional-integral-derivative (PID) controllers are tuned for unstable first-order plus dead time (UFOPDT) systems. Genetic algorithm (GA) is used to find the parameters of the PID controller for UFOPDT systems under the constraint of robustness measure. By curve fitting, the controller parameters are expressed as the functions of the UFOPDT model parameters. Two tuning formulas which consider robustness and the tradeoff between disturbance rejection and robustness of the closed-loop system are proposed. The proposed tuning formulas extend the application range of the existing methods and simulation results show that the tuned PID controllers can achieve good performance for UFOPDT systems.

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来源期刊

Chemical Product and Process Modeling ENGINEERING, CHEMICAL-

CiteScore

2.10

自引率

11.10%

发文量

期刊介绍： Chemical Product and Process Modeling (CPPM) is a quarterly journal that publishes theoretical and applied research on product and process design modeling, simulation and optimization. Thanks to its international editorial board, the journal assembles the best papers from around the world on to cover the gap between product and process. The journal brings together chemical and process engineering researchers, practitioners, and software developers in a new forum for the international modeling and simulation community. Topics: equation oriented and modular simulation optimization technology for process and materials design, new modeling techniques shortcut modeling and design approaches performance of commercial and in-house simulation and optimization tools challenges faced in industrial product and process simulation and optimization computational fluid dynamics environmental process, food and pharmaceutical modeling topics drawn from the substantial areas of overlap between modeling and mathematics applied to chemical products and processes.