Robust nonlinear generalised minimum variance control
Hur, Sung-ho and Grimble, Michael J.; (2012) Robust nonlinear generalised minimum variance control. In: American Control Conference (ACC), 2012. IEEE, CAN, pp. 6721-6726. ISBN 9781457710957 (https://doi.org/10.1109/ACC.2012.6314886)
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This paper extends the Nonlinear Generalised Minimum Variance (NGMV) controller in order to improve the robustness of its control or set-point tracking performance. This is achieved by replacing the Kalman filter included in the original NGMV controller with an observer whose gain is obtained to minimise the effect of uncertainty, which includes unknown disturbance, modelling error, and faults. The performance of the extended controller is assessed and compared with the original controller by application to a nonlinear tank model and a cam phaser dynamics model, and simulation results are presented in this paper demonstrating improvements that can be achieved by the extended controller over the original controller.
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Item type: Book Section ID code: 42183 Dates: DateEvent1 October 2012PublishedSubjects: Technology > Mechanical engineering and machinery
Technology > Electrical engineering. Electronics Nuclear engineeringDepartment: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 23 Nov 2012 16:20 Last modified: 08 Apr 2024 13:00 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/42183