Active disturbance rejection control for uncertain time-delay nonlinear systems
This paper addresses the problems of design and analysis of active disturbance rejection control (ADRC) for uncertain nonlinear systems subject to input time-delay. A novel extended state observer (ESO) is first designed as a predictor to realize the predictive state, and the total uncertainty which...
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sg-ntu-dr.10356-1521062021-08-03T07:30:14Z Active disturbance rejection control for uncertain time-delay nonlinear systems Ran, Maopeng Wang, Qing Dong, Chaoyang Xie, Lihua School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Active Disturbance Rejection Control Extended State Observer This paper addresses the problems of design and analysis of active disturbance rejection control (ADRC) for uncertain nonlinear systems subject to input time-delay. A novel extended state observer (ESO) is first designed as a predictor to realize the predictive state, and the total uncertainty which represents the effects of the unknown nonlinear dynamics and external disturbance. Based on the output of the ESO, a predictive ADRC law is presented. Conditions for the resulting closed-loop system to achieve convergence are obtained. It is shown that the upper bounds of the ESO gains are limited by the time-delay. Numerical simulations are given to illustrate the theoretical results. Accepted version This work was supported by the National Natural Science Foundation of China (61873295, 61833016). 2021-08-03T07:30:14Z 2021-08-03T07:30:14Z 2020 Journal Article Ran, M., Wang, Q., Dong, C. & Xie, L. (2020). Active disturbance rejection control for uncertain time-delay nonlinear systems. Automatica, 112, 108692-. https://dx.doi.org/10.1016/j.automatica.2019.108692 0005-1098 https://hdl.handle.net/10356/152106 10.1016/j.automatica.2019.108692 2-s2.0-85076238273 112 108692 en Automatica © 2019 Elsevier Ltd. All rights reserved. This paper was published in Automatica and is made available with permission of Elsevier Ltd. application/pdf |
| institution |
Nanyang Technological University |
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Asia |
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| topic |
Engineering::Electrical and electronic engineering Active Disturbance Rejection Control Extended State Observer |
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Engineering::Electrical and electronic engineering Active Disturbance Rejection Control Extended State Observer Ran, Maopeng Wang, Qing Dong, Chaoyang Xie, Lihua Active disturbance rejection control for uncertain time-delay nonlinear systems |
| description |
This paper addresses the problems of design and analysis of active disturbance rejection control (ADRC) for uncertain nonlinear systems subject to input time-delay. A novel extended state observer (ESO) is first designed as a predictor to realize the predictive state, and the total uncertainty which represents the effects of the unknown nonlinear dynamics and external disturbance. Based on the output of the ESO, a predictive ADRC law is presented. Conditions for the resulting closed-loop system to achieve convergence are obtained. It is shown that the upper bounds of the ESO gains are limited by the time-delay. Numerical simulations are given to illustrate the theoretical results. |
| author2 |
School of Electrical and Electronic Engineering |
| author_facet |
School of Electrical and Electronic Engineering Ran, Maopeng Wang, Qing Dong, Chaoyang Xie, Lihua |
| format |
Article |
| author |
Ran, Maopeng Wang, Qing Dong, Chaoyang Xie, Lihua |
| author_sort |
Ran, Maopeng |
| title |
Active disturbance rejection control for uncertain time-delay nonlinear systems |
| title_short |
Active disturbance rejection control for uncertain time-delay nonlinear systems |
| title_full |
Active disturbance rejection control for uncertain time-delay nonlinear systems |
| title_fullStr |
Active disturbance rejection control for uncertain time-delay nonlinear systems |
| title_full_unstemmed |
Active disturbance rejection control for uncertain time-delay nonlinear systems |
| title_sort |
active disturbance rejection control for uncertain time-delay nonlinear systems |
| publishDate |
2021 |
| url |
https://hdl.handle.net/10356/152106 |
| _version_ |
1707774603675303936 |