Design and real-time evaluation of a novel observer-based predefined-time controller for the industrial processes

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS ISA transactions Pub Date : 2025-01-01 DOI:10.1016/j.isatra.2024.11.030
Ali Soltani Sharif Abadi , Pouya Heidarpoor Dehkordi , Reza Hajiyan , Ryszard Kowalik , Wiktor Wróblewski
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引用次数: 0

Abstract

A suitable controller for the Continuous Stirred Tank Reactor (CSTR) plays a crucial role in the reactor's performance. This paper presents a novel observer-based sliding mode controller designed to control the CSTR with high accuracy and a fast response. The stability of the proposed method is analyzed using Lyapunov theory. Five other methods, with fixed-time, finite-time (terminal), and asymptotic stability, are used for comparison. Two scenarios are defined: one with bounded control signals and one with unbounded control signals. A real-time simulator is employed to evaluate the control methods. Four different indices are used to compare the methods. In all indices, the proposed control method demonstrates the best performance, with fast response, accurate tracking and estimation, chatter-free operation, and robust features.
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一种新的基于观测器的工业过程预定义时间控制器的设计与实时评估。
连续搅拌槽式反应器(CSTR)的控制器对反应器的性能起着至关重要的作用。本文提出了一种基于观测器的滑模控制器,以实现高精度、快速响应的CSTR控制。利用李亚普诺夫理论分析了该方法的稳定性。另外五种方法,固定时间,有限时间(终端)和渐近稳定性,用于比较。定义了两种情况:一种是有界控制信号,另一种是无界控制信号。利用实时仿真器对控制方法进行了评估。四种不同的指标被用来比较这些方法。在所有指标中,所提出的控制方法具有响应快、跟踪估计准确、无抖振、鲁棒性好等特点。
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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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