Two concurrent β-variable adaptive model-free controls of a seeded batch crystallizer

Author:

Afsi Nawel12ORCID,Bakir Toufik3,Sakly Anis2,Othman Sami1

Affiliation:

1. LAGEPP, University Claude Bernard Lyon 1, University of Lyon, France

2. LAESE, ENIM, University of Monastir, Tunisia

3. Le2i, University of Burgundy, France

Abstract

The design of an efficient controller for a process of batch crystallization is still an important area of ongoing research. In this paper, a [Formula: see text]-variable adaptive model-free control ([Formula: see text]-AMFC) has been proposed to control a seeded batch adipic acid crystallization process to get a final unimodal crystal size distribution (CSD) within the required mean weight size. The [Formula: see text]-AMFC is developed based on [Formula: see text] online adaptive estimation algorithm to enhance the classic model-free control’s (MFC) performance. It copes with unknown as well as partially known dynamics and the inherent complex behavior of this nonlinear process. The concept consists of using an updated local approximation model. Two structures of [Formula: see text]-AMFC are considered. The first is a [Formula: see text]-AMFC based on intelligent Proportional-Integral ([Formula: see text]-iPI) control and the second is based on intelligent Proportional-Integral control combined with Sliding Mode Control ([Formula: see text]-iPISMC). To obtain the controller parameters of the two [Formula: see text]-AMFC structures, the particle swarm optimization (PSO) method was employed. The comparison of alternative approaches is performed by means of simulations including different scenarios. It is found that the [Formula: see text]-iPISMC has a superior performance: it allows the output convergence 50 minutes earlier than the [Formula: see text]-iPI and it is more robust against any sudden disturbances.

Publisher

SAGE Publications

Subject

Instrumentation

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3