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Generalized Dynamic Predictive Control for Nonparametric Uncertain Systems With Application to Series Elastic Actuators

Yan, Yunda; Zhang, Chuanlin; Narayan, Ashwin; Yang, Jun; Li, Shihua; Yu, Haoyong; (2018) Generalized Dynamic Predictive Control for Nonparametric Uncertain Systems With Application to Series Elastic Actuators. IEEE Transactions on Industrial Informatics , 14 (11) pp. 4829-4840. 10.1109/TII.2018.2804351. Green open access

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Abstract

One weakness of the model predictive control method is that the predicted states/outputs are constructed by an exact nominal model. Its accuracy varies if uncertainties exist, which will ultimately deteriorate the closed-loop control performances. To this end, we propose a generalized dynamic predictive control method for a class of lower-triangular systems subjected to nonparametric uncertainties. Instead of relying on the inherent robustness property of the standard predictive controller or on-/off-line parameter identification, a dual-layer adaptive law is designed to estimate the lumped effect of system uncertainties. As another main contribution, under a less ambitious but more practical control objective, namely semi-global stability, various nonlinearity growth constraints utilized in the existing related methods could be essentially relaxed. Numerical simulation and illustrative experimental tests of a series elastic actuator system are provided to demonstrate both simplicity and effectiveness of the proposed method.

Type: Article
Title: Generalized Dynamic Predictive Control for Nonparametric Uncertain Systems With Application to Series Elastic Actuators
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TII.2018.2804351
Publisher version: http://dx.doi.org/10.1109/tii.2018.2804351
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & Technology, Technology, Automation & Control Systems, Computer Science, Interdisciplinary Applications, Engineering, Industrial, Computer Science, Engineering, Adaptive control, continuous-time predictive control, motion control systems, nonparametric uncertainty, semi-global stability, variable receding horizon, LINEAR OUTPUT-FEEDBACK, NONLINEAR-SYSTEMS, RIPPLE MINIMIZATION, ADAPTIVE-CONTROL, BENCHMARK PLANT, HIGH-GAIN, MPC, DESIGN, IMPLEMENTATION, IDENTIFICATION
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10192304
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