Enhanced design of PI controller with lead-lag filter for unstable and integrating plus time delay processes

IF 1 Q4 ENGINEERING, CHEMICAL
Sanjay Kumar, M. Ajmeri
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引用次数: 1

Abstract

Abstract In this work, a proportional–integral (PI) controller with a set point filter is designed using the direct synthesis method for unstable plus time delay process. The Suggested method involves design parameters whose suitable values are recommended based on robust stability and robust performance constraints. The absence of derivative term makes PI controllers less sensitive to noise and, therefore, PI controllers are more preferable than PID in industrial applications. Despite a simple control architecture, the proposed method gives improved or comparable performance to previously presented approaches, which are comparatively complex. Four case studies are considered to evaluate the suitability and superiority of the suggested control technique. Proposed controller may be applied to the integrating plus time delay plants after some elementary transformations in the process model.
带超前-滞后滤波器的不稳定积分时滞过程PI控制器的改进设计
摘要本文针对不稳定加时滞过程,采用直接综合法设计了一种带设定点滤波器的比例积分(PI)控制器。建议的方法涉及设计参数,其合适值是基于鲁棒稳定性和鲁棒性能约束推荐的。导数项的缺乏使得PI控制器对噪声不那么敏感,因此,在工业应用中,PI控制器比PID更可取。尽管控制结构简单,但所提出的方法与以前提出的方法相比,性能有所提高或相当,而以前提出的算法相对复杂。考虑了四个案例研究来评估所建议的控制技术的适用性和优越性。所提出的控制器可以在过程模型中进行一些基本变换后应用于积分加时延对象。
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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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