CUED Publications database

Optimal nonlinear model predictive control based on Bernstein polynomial approach

Patil, BV and Ling, KV and Maciejowski, JM (2017) Optimal nonlinear model predictive control based on Bernstein polynomial approach. In: 56th Annual IEEE Conference on Decision and Control, CDC 2017, 2017-12-12 to 2017-12-15 pp. 4363-4369..

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Abstract

© 2017 IEEE. In this paper, we compare the performance of Bernstein global optimization algorithm based nonlinear model predictive control (NMPC) with a power system stabilizer and linear model predictive control (MPC) for the excitation control of a single machine infinite bus power system. The control simulation studies with Bernstein algorithm based NMPC show improvement in the system damping and settling time when compared with respect to a power system stabilizer and linear MPC scheme. Further, the efficacy of the Bernstein algorithm is also compared with global optimization solver BMIBNB from YALMIP toolbox in terms of NMPC scheme and results are found to be satisfactory.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: UNSPECIFIED
Divisions: Div F > Control
Depositing User: Cron Job
Date Deposited: 06 Mar 2018 01:41
Last Modified: 24 Oct 2019 12:03
DOI: 10.1109/CDC.2017.8264303