DocumentCode :
617184
Title :
Discrete-time model of an IPMSM based on variational integrators
Author :
Specht, Andreas ; Ober-Blobaum, Sina ; Wallscheid, Oliver ; Romaus, Christoph ; Bocker, Joachim
Author_Institution :
Power Electron. & Electr. Drives, Univ. of Paderborn, Paderborn, Germany
fYear :
2013
fDate :
12-15 May 2013
Firstpage :
1411
Lastpage :
1417
Abstract :
Interior permanent-magnet synchronous motors (IPMSM) are widely used as automobile traction drives for electric and hybrid electric vehicles. Since motor control is commonly implemented on a digital platform, a discrete-time motor model is needed. With respect to the calculation effort the discretization is usually done via a first-order explicit Euler approximation within the rotor frame coordinates. For IPMSM traction drives this approach is leading to a systematic modeling error, since the flux trajectory degenerates from a circle to a polygon at higher speeds. Consequently, this approach leads to a speed-depending discretization error, which can have a significant impact on control performance. Hence, this contribution presents a discrete-time model of an IPMSM based on variational integrators (VI). Starting with a variational principle the Euler-Lagrange equations provide a physical continuous-time motor model. By applying a discrete version of the variational principle we receive a symplectic discrete-time IPMSM model without increasing the calculation effort in comparison to the classical Euler discretization. Simulative as well as experimental investigations confirm the benefit of a VI based discrete-time motor model concerning the transient and stationary system model accuracy.
Keywords :
approximation theory; continuous time systems; discrete systems; hybrid electric vehicles; machine control; magnetic flux; permanent magnet motors; synchronous motor drives; traction motor drives; Euler-Lagrange equations; IPMSM traction drives; VI; automobile traction drives; digital platform; discrete-time motor model; first-order explicit Euler approximation; hybrid electric vehicles; interior permanent-magnet synchronous motor; motor control; physical continuous-time motor model; rotor frame coordinates; speed-depending discretization error; stationary system model accuracy; systematic modeling error; transient system model accuracy; variational integrator; Approximation methods; Computational modeling; Equations; Mathematical model; Permanent magnet motors; Rotors; Traction motors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Machines & Drives Conference (IEMDC), 2013 IEEE International
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4673-4975-8
Electronic_ISBN :
978-1-4673-4973-4
Type :
conf
DOI :
10.1109/IEMDC.2013.6556322
Filename :
6556322
Link To Document :
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