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用于非线性化学过程的基于双模的滑模控制方法

Dual-Mode Based Sliding Mode Control Approach for Nonlinear Chemical Processes.

作者信息

Obando Camila, Rojas Ruben, Ulloa Francisco, Camacho Oscar

机构信息

Dipartimento di Informatica, Modellistica, Elettronica e Sistemistica, Università della Calabria, 87036 Rende, Italy.

Escuela de Ingeniería Eléctrica, Facultad de Ingeniería, Universidad de Los Andes, Mérida 5101, Venezuela.

出版信息

ACS Omega. 2023 Mar 1;8(10):9511-9525. doi: 10.1021/acsomega.2c08201. eCollection 2023 Mar 14.

DOI:10.1021/acsomega.2c08201
PMID:36936305
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10018495/
Abstract

This paper synthesizes a new sliding mode controller (SMC) approach to enhance tracking and regulation tasks by following dual-mode concepts. The new control law consists of two distinct types of operation, using the combination of higher gain to large error signals (transient) and lower gain to small error signals (the region around the set point). The design is presented from a dual-mode (PD-PID) sliding surface operating in concert, fulfilling desired control objectives to ensure stability and performance. Therefore, a new controller was established, and we called it a dual-mode based SMC. The proposed controller is tested by computer simulations applied to two nonlinear processes, a continuous stirred-tank reactor (CSTR) and a mixing tank with a variable dead time. The results are compared with two different alternatives of SMC. In addition, the merits and drawbacks of the control schemes are analyzed using radial graphs, comparing the control methods with various performance measures for set points and disturbances changes. The ITSE (integral of time multiplied by the squared error), TVu (total variation of control effort) indices, Mp (maximum overshoot), and ts (settling time) were the indices used for performance analysis and comparisons.

摘要

本文综合了一种新的滑模控制器（SMC）方法，通过遵循双模式概念来增强跟踪和调节任务。新的控制律由两种不同类型的操作组成，即对大误差信号（瞬态）使用较高增益，对小误差信号（设定点附近区域）使用较低增益。该设计基于协同工作的双模式（PD-PID）滑模面提出，实现了期望的控制目标，以确保稳定性和性能。因此，建立了一种新的控制器，我们将其称为基于双模式的SMC。通过应用于两个非线性过程的计算机模拟对所提出的控制器进行了测试，这两个过程分别是连续搅拌釜式反应器（CSTR）和具有可变死区时间的混合槽。将结果与SMC的两种不同变体进行了比较。此外，使用径向图分析了控制方案的优缺点，将控制方法与设定点和干扰变化的各种性能指标进行了比较。ITSE（时间乘以误差平方的积分）、TVu（控制量的总变化）指标、Mp（最大超调量）和ts（调节时间）是用于性能分析和比较的指标。

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3
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6
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