Gonzalez, O. and Rossiter, J. orcid.org/0000-0002-1336-0633 (2020) A fast hybrid dual mode NMPC for a parallel double inverted pendulum with experimental validation. IET Control Theory and Applications, 14 (16). pp. 2329-2338. ISSN 1751-8644
Abstract
This study presents a novel fast non-linear model predictive control approach for a parallel double inverted pendulum. The approach uses dual-mode closed-loop predictions to obtain numerically robust optimal solutions. Moreover, it uses the real-time iteration (RTI) scheme to reduce the computational burden and achieve real-time performance. Furthermore, two main modifications are proposed which significantly improve the performance of the RTI scheme in the presence of large disturbances, namely; additional energy-based costs, and a hybrid switching scheme. Finally, the approach uses a non-standard discretised model combined with an online system identification scheme to address parameter uncertainty, and with an extended Kalman filter for state-estimation. The resulting performance is validated through both simulations and experimental results.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 The Authors. IET Control Theory & Applications published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology. This is an author-produced version of a paper subsequently published in IET Control Theory and Applications. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | predictive control; closed loop systems; nonlinear control systems; stability; optimisation; pendulums; robust control; continuous time systems; Kalman filters; iterative methods; fast hybrid dual mode NMPC; parallel double inverted pendulum; experimental validation; nonlinear model predictive control approach; dual-mode closed-loop predictions; numerically robust optimal solutions; real-time iteration scheme; real-time performance; RTI scheme; additional energy-based costs; hybrid switching scheme; nonstandard discretised model; online system identification scheme |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 01 Jul 2020 06:49 |
Last Modified: | 15 Jul 2021 11:00 |
Status: | Published |
Publisher: | Institution of Engineering and Technology (IET) |
Refereed: | Yes |
Identification Number: | 10.1049/iet-cta.2020.0130 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:162571 |