Nonlinear optimal control for Synchronous Reluctance Machines

Rigatos, Gerasimos, Siano, Pierluigi, Jovanovic, Milutin, Ademi, Sul, Wira, P. and Tir, Z. (2017) Nonlinear optimal control for Synchronous Reluctance Machines. In: CPE-POWERENG 2017 - 11th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, 4th - 6th April 2017, Cadiz, Spain.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/CPE.2017.7915239

Abstract

A nonlinear H-infinity (optimal) control approach is proposed for the problem of control of Synchronous Reluctance Machines (SRMs). Approximate linearization is applied to the dynamic model of the Synchronous Reluctance Machine, round a local operating point. To accomplish this linearization Taylor series expansion and the computation of the associated Jacobian matrices are performed. The robustness of the control scheme assures that the modelling error due to truncation of higher order terms from the Taylor expansion will be compensated. Next, an H-infinity feedback controller is designed. After solving an algebraic Riccati equation at each iteration of the control algorithm, the feedback gain is computed. Lyapunov stability analysis proves that the control loop satisfies an H-infinity tracking performance criterion. This in turn signifies elevated robustness to model uncertainty and external perturbations. Moreover, under moderate conditions it is proven that the control loop is globally asymptotically stable.

Item Type: Conference or Workshop Item (Paper)
Subjects: H600 Electronic and Electrical Engineering
H800 Chemical, Process and Energy Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Paul Burns
Date Deposited: 16 Nov 2018 15:10
Last Modified: 10 Oct 2019 21:02
URI: http://nrl.northumbria.ac.uk/id/eprint/36757

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics