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Title: Piece-wise polynomial based model for switched reluctance motor
Authors: Sahoo, S.K. 
Panda, S.K. 
Xu, J.X. 
Keywords: SRM modelling
Switched reluctance motor
Torque estimator
Issue Date: 2008
Citation: Sahoo, S.K.,Panda, S.K.,Xu, J.X. (2008). Piece-wise polynomial based model for switched reluctance motor. IEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES : -. ScholarBank@NUS Repository.
Abstract: An analytical model is proposed for SRM phase flux-linkage, λ in terms of phase current, i and rotor position, θ. The key contribution of this paper is that instead of fitting a global function to λ(i,θ), it has been divided into four regions according to the physical characteristics. A two-stage polynomial fitting approach is used to capture each region: first, each fluxlinkage vs rotor position curve at a constant current, is captured by a fifth order polynomial in rotor position; then, variation of these polynomial coefficients with phase current is captured by another fifth order polynomial in current. Thus, each region is captured by 36 parameters and a total of 144 coefficients capture the complete flux-linkage data accurately, in an analytical formula. The other dynamic properties of SRM like, incremental inductance (∂λ/∂i) and back-emf constant (∂λ/∂θ) are obtained using the analytical model, which can be used for generating the feed-forward control signal in the torque controller design. An expression for instantaneous torque, T(i, θ) is derived from this flux-linkage model using co-energy principle and validated with experimentally obtained phase torque data. The accuracy and computational simplicity of the instantaneous torque model make it suitable for online torque estimator in closed-loop torque control applications. © 2008 IEEE.
Source Title: IEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES
ISBN: 9781424419067
DOI: 10.1109/PES.2008.4596253
Appears in Collections:Staff Publications

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