Optimization of Parameters in Linear Active Disturbance Rejection Control via Differential Evolution Algorithm

Two parameters of ω0 and ωc in the active disturbance rejection controller are automatically optimized via the differential evolution algorithm in this paper. First, the design of the second-order linear active disturbance rejection control (LADRC) is studied, then, the program flow chart and parame...

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Autor principal:	Zhou Tao
Formato:	article
Lenguaje:	ZH
Publicado:	Editorial Office of Aero Weaponry 2021
Materias:	\|linear active disturbance rejection control\|extended state observer\|differential evolution algorithm\|optimization of parameter\|fitness function\|guidance and control Motor vehicles. Aeronautics. Astronautics TL1-4050
Acceso en línea:	https://doaj.org/article/e1f73cad7a314ed38c9e1a9c31d2d5dc
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spelling	oai:doaj.org-article:e1f73cad7a314ed38c9e1a9c31d2d5dc2021-11-30T00:13:57ZOptimization of Parameters in Linear Active Disturbance Rejection Control via Differential Evolution Algorithm1673-504810.12132/ISSN.1673-5048.2019.0130https://doaj.org/article/e1f73cad7a314ed38c9e1a9c31d2d5dc2021-02-01T00:00:00Zhttp://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/1616466990021-1133647797.pdfhttps://doaj.org/toc/1673-5048Two parameters of ω0 and ωc in the active disturbance rejection controller are automatically optimized via the differential evolution algorithm in this paper. First, the design of the second-order linear active disturbance rejection control (LADRC) is studied, then, the program flow chart and parameters selection methods of the differential evolution algorithm are analyzed. Simulation tests show that for the second-order system with large nonlinear total disturbance, the differential evolution algorithm can obtain global optimal values of two parameters and the fitness function reaches the minimum value fastly under conditions of the accurate and inaccurate parameter b, thus the system can achieve the higher step response speed and tracking precision. Moreover, this algorithm is also marked with the faster convergence rate, higher efficiency and precision, which can provide a novel practical method for automatic tuning of LADRC parameters.Zhou TaoEditorial Office of Aero Weaponryarticle\|linear active disturbance rejection control\|extended state observer\|differential evolution algorithm\|optimization of parameter\|fitness function\|guidance and controlMotor vehicles. Aeronautics. AstronauticsTL1-4050ZHHangkong bingqi, Vol 28, Iss 1, Pp 98-103 (2021)
institution	DOAJ
collection	DOAJ
language	ZH
topic	\|linear active disturbance rejection control\|extended state observer\|differential evolution algorithm\|optimization of parameter\|fitness function\|guidance and control Motor vehicles. Aeronautics. Astronautics TL1-4050
spellingShingle	\|linear active disturbance rejection control\|extended state observer\|differential evolution algorithm\|optimization of parameter\|fitness function\|guidance and control Motor vehicles. Aeronautics. Astronautics TL1-4050 Zhou Tao Optimization of Parameters in Linear Active Disturbance Rejection Control via Differential Evolution Algorithm
description	Two parameters of ω0 and ωc in the active disturbance rejection controller are automatically optimized via the differential evolution algorithm in this paper. First, the design of the second-order linear active disturbance rejection control (LADRC) is studied, then, the program flow chart and parameters selection methods of the differential evolution algorithm are analyzed. Simulation tests show that for the second-order system with large nonlinear total disturbance, the differential evolution algorithm can obtain global optimal values of two parameters and the fitness function reaches the minimum value fastly under conditions of the accurate and inaccurate parameter b, thus the system can achieve the higher step response speed and tracking precision. Moreover, this algorithm is also marked with the faster convergence rate, higher efficiency and precision, which can provide a novel practical method for automatic tuning of LADRC parameters.
format	article
author	Zhou Tao
author_facet	Zhou Tao
author_sort	Zhou Tao
title	Optimization of Parameters in Linear Active Disturbance Rejection Control via Differential Evolution Algorithm
title_short	Optimization of Parameters in Linear Active Disturbance Rejection Control via Differential Evolution Algorithm
title_full	Optimization of Parameters in Linear Active Disturbance Rejection Control via Differential Evolution Algorithm
title_fullStr	Optimization of Parameters in Linear Active Disturbance Rejection Control via Differential Evolution Algorithm
title_full_unstemmed	Optimization of Parameters in Linear Active Disturbance Rejection Control via Differential Evolution Algorithm
title_sort	optimization of parameters in linear active disturbance rejection control via differential evolution algorithm
publisher	Editorial Office of Aero Weaponry
publishDate	2021
url	https://doaj.org/article/e1f73cad7a314ed38c9e1a9c31d2d5dc
work_keys_str_mv	AT zhoutao optimizationofparametersinlinearactivedisturbancerejectioncontrolviadifferentialevolutionalgorithm
_version_	1718406894667694080

Optimization of Parameters in Linear Active Disturbance Rejection Control via Differential Evolution Algorithm

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