Model-Free VRFT-Based Tuning Method for PID Controllers

Author:

Vrančić Damir1ORCID,Moura Oliveira Paulo2ORCID,Bisták Pavol3ORCID,Huba Mikuláš3ORCID

Affiliation:

1. Jožef Stefan Institute, SI-1000 Ljubljana, Slovenia

2. INESC-TEC, Department of Engineering, School of Sciences and Technology, University of Trás-os-Montes and Alto Douro, 5001-911 Vila Real, Portugal

3. Institute of Automotive Mechatronics, Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, SK-812 19 Bratislava, Slovakia

Abstract

The main objective of this work was to develop a tuning method for PID controllers suitable for use in an industrial environment. Therefore, a computationally simple tuning method is presented based on a simple experiment on the process without requiring any input from the user. Essentially, the method matches the closed-loop response to the response obtained in the steady-state change experiment. The proposed method requires no prior knowledge of the process and, in its basic form, only the measurement of the change in the steady state of the process in the manually or automatically performed experiment is needed, which is not limited to step-like process input signals. The user does not need to provide any prior information about the process or any information about the closed-loop behavior. Although the control loop dynamics is not defined by the user, it is still known in advance because it is implicitly defined by the process open-loop response. Therefore, no exaggerated control signal swings are expected when the reference signal changes, which is an advantage in many industrial plants. The presented method was designed to be computationally undemanding and can be easily implemented on less powerful hardware, such as lower-end PLC controllers. The work has shown that the proposed model-free method is relatively insensitive to process output noise. Another advantage of the proposed tuning method is that it automatically handles the tuning of highly delayed processes, since the method discards the initial process response. The simplicity and efficiency of the tuning method is demonstrated on several process models and on a laboratory thermal system. The method was also compared to a tuning method based on a similar closed-loop criterion. In addition, all necessary Matlab/Octave files for the calculation of the controller parameters are provided online.

Funder

Slovenian Research Agency

Clean Hydrogen Partnership

Operational Programme Integrated Infrastructure

European Regional Development Fund

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

Reference35 articles.

1. Virtual reference feedback tuning: A direct method for the design of feedback controllers;Campi;Automatica,2002

2. Unbiased MIMO VRFT with application to process control;Campestrini;J. Process. Control.,2016

3. Coordinated control design for a PEMFC power system using adaptive VRFT method;Jeng;J. Taiwan Inst. Chem. Eng.,2017

4. Jeng, J.-C. (2018). PID Control for Industrial Processes, IntechOpen. Available online: https://www.intechopen.com/chapters/63028.

5. Data-driven model reference control of MIMO vertical tank systems with model-free VRFT and Q-Learning;Radac;ISA Trans.,2018

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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