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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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 |
work_keys_str_mv |
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