基于h∞控制器的连续搅拌槽反应器扰动抑制

IF 2 4区 计算机科学 Q2 Computer Science
Sikander Hans, Smarajit Ghosh
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引用次数: 0

摘要

本文提出了一种基于H∞(H∞)控制器的干扰抑制方法,并利用水波优化(WWO)算法。H∞控制器用于综合某些应用的保证性能,并在任何情况下提供最大增益。研究了连续搅拌槽反应器(CSTR)的温度变化和产物浓度变化等问题。这些问题的消除是在WWO算法和控制器操作的帮助下进行的。总体而言,WWO算法框架简单,易于实现,种群规模小,控制参数少。与PID控制器、自抗扰控制器和人工神经网络控制器相比,所设计的工作具有更好的抗扰性能。此外,所提出的工作通过消除障碍提高了所提供应用程序的寿命。在MATLAB工作平台上实现了整个过程,并将结果与上述方法进行了比较,以显示预期的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
H-infinity Controller Based Disturbance Rejection in Continuous Stirred-Tank Reactor
This paper offers an H-infinity (H∞) controller-based disturbance rejection along with the utilization of the water wave optimization (WWO) algorithm. H∞ controller is used to synthesize the guaranteed performance of certain applications as well as it provides maximum gain at any situation. The proposed work focuses on the conflicts of continuous stirred-tank reactor (CSTR) such as variation in temperature and product concentration. The elimination of these issues is performed with the help of the WWO algorithm along with the controller operation. In general, the algorithmic framework of WWO algorithm is simple, and easy to implement with a small-size population and only a few control parameters. The planned work gives the enhanced performance by means of disturbance rejection when compared with the PID, ADRC and ANN controllers. Additionally, the proposed work improves the lifespan of the offered application through the elimination disorders. The overall process is implemented in the MATLAB working platform and the results are compared with the preceding methods to show the expected performance.
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来源期刊
Intelligent Automation and Soft Computing
Intelligent Automation and Soft Computing 工程技术-计算机:人工智能
CiteScore
3.50
自引率
10.00%
发文量
429
审稿时长
10.8 months
期刊介绍: An International Journal seeks to provide a common forum for the dissemination of accurate results about the world of intelligent automation, artificial intelligence, computer science, control, intelligent data science, modeling and systems engineering. It is intended that the articles published in the journal will encompass both the short and the long term effects of soft computing and other related fields such as robotics, control, computer, vision, speech recognition, pattern recognition, data mining, big data, data analytics, machine intelligence, cyber security and deep learning. It further hopes it will address the existing and emerging relationships between automation, systems engineering, system of systems engineering and soft computing. The journal will publish original and survey papers on artificial intelligence, intelligent automation and computer engineering with an emphasis on current and potential applications of soft computing. It will have a broad interest in all engineering disciplines, computer science, and related technological fields such as medicine, biology operations research, technology management, agriculture and information technology.
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