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Publication . Article . 2016

Designing robust feedback linearisation controllers using imperfect dynamic models and sensor feedback

Yongjing Wang; Lu Wang; Mietek A. Brdys;
Open Access
English
Published: 01 Dec 2016 Journal: Cogent Engineering, volume 3, issue 1 (issn: 2331-1916, Copyright policy )
Publisher: Taylor & Francis Group
Abstract

The paper considers key limitation of the feedback linearisation controller designed for nonlinear systems based on the imperfect nominal dynamics model and sensors. The model-reality differences cause signal leakages in the feedback linearised dynamics. As the leakages are the functions of the process variables, the resulting overall dynamics are again nonlinear with strong additive nonlinearities and the expected decoupling of the system dynamics is missing. In the paper, instead of using advanced control tools, we prove the robustness of the feedback linearisation method can also be significantly enhanced by employing several simple and classical methods cooperatively. For clear description and explanation, the methodology was illustrated based on a two-link manipulator case study, a classical multi-input multi-output coupled nonlinear system. The methods have genetic potential so that they can be applicable to a variety of case study systems and also further developed to become general methodologies.

Subjects by Vocabulary

Library of Congress Subject Headings: lcsh:Engineering (General). Civil engineering (General) lcsh:TA1-2040

Subjects

robotic manipulator, robust design, uncertainty, signal leakages, imperfect dynamic models, stiction friction

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Cogent Engineering
Article . 2016
Providers: DOAJ-Articles
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