基于直接合成的滑模控制器设计,适用于不稳定的二阶死时过程,并将其应用于连续搅拌罐反应器

IF 1 Q4 ENGINEERING, CHEMICAL
Mohammed Hasmat Ali, Md. Nishat Anwar
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引用次数: 0

摘要

摘要 不稳定过程的控制具有挑战性,因为它们有一个或多个正极点,会产生不受约束的动态活动。随着延迟的出现,控制这类不稳定工厂变得更具挑战性。本文针对不稳定的二阶加死区时间过程,提出了一种基于直接合成的新型滑模控制器设计。本文考虑了具有三个参数的滑动面。利用直接合成法获得了连续控制律,该控制律负责将系统模式维持在所需的滑动面模式上。非连续控制法则参数是通过微分演化优化技术获得的。直接合成法考虑了所需的参考模型,而优化法的目标函数则由性能指标(积分绝对误差)和控制努力指标(控制器输出的总变化)构成。举例说明表明,所提出的控制器设计方法优于近期报道的文献,尤其是在负载抑制方面。提出的控制器方法进一步扩展到非线性化学反应器的温度控制。此外,还研究了所提出的控制器对工厂参数不确定性的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Direct synthesis based sliding mode controller design for unstable second order with dead-time processes with its application on continuous stirred tank reactor
Abstract Unstable processes are challenging to control because they have one or more positive poles that produce unrestrained dynamic activity. Controlling such unstable plants becomes more challenging with the occurrence of the delay. This article presents a novel direct synthesis based sliding mode controller design for unstable second order plus dead-time processes. A sliding surface with three parameters has been considered. The continuous control law, which is responsible for maintaining the system mode to the desired sliding surface mode, has been obtained using the direct synthesis approach. The discontinuous control law parameters have been obtained using the differential evolution optimization technique. A desired reference model is considered for the direct synthesis method, and an objective function is constituted in terms of performance measure (integral absolute error) and control effort measure (total variation of controller output) for the optimization approach. Illustrative examples show the superiority of the proposed controller design method over recently reported literature, especially in terms of load rejection. The proposed controller approach is further extended to control the temperature of a nonlinear chemical reactor. Furthermore, the robustness of the proposed controller is also investigated for plant parametric uncertainty.
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来源期刊
Chemical Product and Process Modeling
Chemical Product and Process Modeling ENGINEERING, CHEMICAL-
CiteScore
2.10
自引率
11.10%
发文量
27
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.
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