Tuning Rules for Active Disturbance Rejection Controllers via Multiobjective Optimization—A Guide for Parameters Computation Based on Robustness

A set of tuning rules for Linear Active Disturbance Rejection Controller (LADRC) with three different levels of compromise between disturbance rejection and robustness is presented. The tuning rules are the result of a Multiobjective Optimization Design (MOOD) procedure followed by curve fitting and...

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Main Authors: Blanca Viviana Martínez, Javier Sanchis, Sergio García-Nieto, Miguel Martínez
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/9/5/517
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spelling doaj-99407adbe03d4dd6aca52156519798962021-03-03T00:02:53ZengMDPI AGMathematics2227-73902021-03-01951751710.3390/math9050517Tuning Rules for Active Disturbance Rejection Controllers via Multiobjective Optimization—A Guide for Parameters Computation Based on RobustnessBlanca Viviana Martínez0Javier Sanchis1Sergio García-Nieto2Miguel Martínez3Instituto Universitario de Automática e Informática Industrial, Universitat Politècnica de València, 46022 Valencia, SpainInstituto Universitario de Automática e Informática Industrial, Universitat Politècnica de València, 46022 Valencia, SpainInstituto Universitario de Automática e Informática Industrial, Universitat Politècnica de València, 46022 Valencia, SpainInstituto Universitario de Automática e Informática Industrial, Universitat Politècnica de València, 46022 Valencia, SpainA set of tuning rules for Linear Active Disturbance Rejection Controller (LADRC) with three different levels of compromise between disturbance rejection and robustness is presented. The tuning rules are the result of a Multiobjective Optimization Design (MOOD) procedure followed by curve fitting and are intended as a tool for designers who seek to implement LADRC by considering the load disturbance response of processes whose behavior is approximated by a general first-order system with delay. The validation of the proposed tuning rules is done through illustrative examples and the control of a nonlinear thermal process. Compared to classical PID (Proportional-Integral-Derivative) and other LADRC tuning methods, the derived functions offer an improvement in either disturbance rejection, robustness or both design objectives.https://www.mdpi.com/2227-7390/9/5/517active disturbance rejection control (ADRC)multiobjective optimizationtime delay systemstuning rules
collection DOAJ
language English
format Article
sources DOAJ
author Blanca Viviana Martínez
Javier Sanchis
Sergio García-Nieto
Miguel Martínez
spellingShingle Blanca Viviana Martínez
Javier Sanchis
Sergio García-Nieto
Miguel Martínez
Tuning Rules for Active Disturbance Rejection Controllers via Multiobjective Optimization—A Guide for Parameters Computation Based on Robustness
Mathematics
active disturbance rejection control (ADRC)
multiobjective optimization
time delay systems
tuning rules
author_facet Blanca Viviana Martínez
Javier Sanchis
Sergio García-Nieto
Miguel Martínez
author_sort Blanca Viviana Martínez
title Tuning Rules for Active Disturbance Rejection Controllers via Multiobjective Optimization—A Guide for Parameters Computation Based on Robustness
title_short Tuning Rules for Active Disturbance Rejection Controllers via Multiobjective Optimization—A Guide for Parameters Computation Based on Robustness
title_full Tuning Rules for Active Disturbance Rejection Controllers via Multiobjective Optimization—A Guide for Parameters Computation Based on Robustness
title_fullStr Tuning Rules for Active Disturbance Rejection Controllers via Multiobjective Optimization—A Guide for Parameters Computation Based on Robustness
title_full_unstemmed Tuning Rules for Active Disturbance Rejection Controllers via Multiobjective Optimization—A Guide for Parameters Computation Based on Robustness
title_sort tuning rules for active disturbance rejection controllers via multiobjective optimization—a guide for parameters computation based on robustness
publisher MDPI AG
series Mathematics
issn 2227-7390
publishDate 2021-03-01
description A set of tuning rules for Linear Active Disturbance Rejection Controller (LADRC) with three different levels of compromise between disturbance rejection and robustness is presented. The tuning rules are the result of a Multiobjective Optimization Design (MOOD) procedure followed by curve fitting and are intended as a tool for designers who seek to implement LADRC by considering the load disturbance response of processes whose behavior is approximated by a general first-order system with delay. The validation of the proposed tuning rules is done through illustrative examples and the control of a nonlinear thermal process. Compared to classical PID (Proportional-Integral-Derivative) and other LADRC tuning methods, the derived functions offer an improvement in either disturbance rejection, robustness or both design objectives.
topic active disturbance rejection control (ADRC)
multiobjective optimization
time delay systems
tuning rules
url https://www.mdpi.com/2227-7390/9/5/517
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