Khan, I., Wagg, D. orcid.org/0000-0002-7266-2105 and Sims, N. (2016) Nonlinear Robust Observer Design Using An Invariant Manifold Approach. Control Engineering Practice, 55. pp. 69-79. ISSN 0967-0661
Abstract
This paper presents a method to design a reduced order observer using an invariant manifold approach. The main advantages of this method are that it enables a systematic design approach, and (unlike most nonlinear observer design methods), it can be generalized over a larger class of nonlinear systems. The method uses specific mapping functions in a way that minimises the error dynamics close to zero. Another important aspect is the robustness property which is due to the manifold attractivity: an important feature when an observer is used in a closed loop control system. A two degree-of-freedom system is used as an example. The observer design is validated using numerical simulation. Then experimental validation is carried out using hardware-in-the-loop testing. The proposed observer is then compared with a very well known nonlinear observer based on the off-line solution of the Riccati equation for systems with Lipschitz type nonlinearity. In all cases, the performance of the proposed observer is shown to be very high.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Elsevier Ltd. This is an author produced version of a paper subsequently published in Control Engineering Practice. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
Keywords: | observer design; invariant manifold; Lipschitz non-linearity; error dynamics; mapping functions |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 28 Jun 2016 09:29 |
Last Modified: | 18 Jul 2017 11:21 |
Published Version: | http://dx.doi.org/10.1016/j.conengprac.2016.06.015 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.conengprac.2016.06.015 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:101455 |
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