Constrained Long-Horizon Direct Model Predictive Control for Synchronous Reluctance Motor Drives

被引:0
|
作者
Ortombina, L. [1 ]
Liegmann, E. [2 ]
Karamanakos, P. [3 ]
Tinazzi, F. [1 ]
Zigliotto, M. [1 ]
Kennel, R. [2 ]
机构
[1] Univ Padua, Dept Management & Engn, I-36100 Vicenza, Italy
[2] Tech Univ Munich, Chair Elect Dr Syst & Power Elect, D-80333 Munich, Germany
[3] Tampere Univ Technol, Fac Comp & Elect Engn, FIN-33101 Tampere, Finland
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TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A finite control set model predictive control strategy for the control of the stator currents of a synchronous reluctance motor driven by a three-level neutral point clamped inverter is presented in this paper. The presented algorithm minimizes the stator current distortions while operating the drive system at switching frequencies of a few hundred Hertz. Moreover, the power electronic converter is protected by overcurrents and/or overvoltages owing to a hard constraint imposed on the stator currents. To efficiently solve the underlying integer nonlinear optimization problem a sphere decoding algorithm serves as optimizer. To this end, a numerical calculation of the unconstrained solution of the optimization problem is proposed, along with modifications in the algorithm proposed in [1] so as to meet the above-mentioned control objectives. Simulation results show the effectiveness of the proposed control algorithm.
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页数:8
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