Finite Control Set-Model Predictive Flux Control of PMSM for Air Compressor of Fuel Cell Systems

This paper presents finite control set model predictive flux control (FCS-MPFC) of permanent magnet synchronous motor (PMSM) for the air compressor, which is used to supply the compressed air for electro-chemical reaction of fuel cell systems. For the PMSM fed by 2-level VSI, the general finite control set-model predictive torque control (FCS-MPTC) needs to search all feasible voltage vectors, which will consume much time. Beyond that, the cost function of FCS-MPTC is hard to set so that FCS-MPTC is difficult to implement in practice. FCS-MPFC eliminates the setting of the cost function by predicting stator flux linkage vector. In addition, FCS-MPFC can reduce the calculation effort of searching all feasible voltage vectors to the comparison of three vectors by the deadbeat method and the equivalent transformation of discrete equations. The proposed control algorithm is carried out by simulation in transient and steady state, which is compared with FCS-MPTC. The rapid electromagnetic torque response ensures the sufficient oxygen supply for the fuel cell systems.

[1]  Silverio Bolognani,et al.  Model Predictive Direct Torque Control With Finite Control Set for PMSM Drive Systems, Part 1: Maximum Torque Per Ampere Operation , 2013, IEEE Transactions on Industrial Informatics.

[2]  Wei Xu,et al.  Finite-Control-Set Model Predictive Torque Control With a Deadbeat Solution for PMSM Drives , 2015, IEEE Transactions on Industrial Electronics.

[3]  Ralph Kennel,et al.  High-Performance Control Strategies for Electrical Drives: An Experimental Assessment , 2012, IEEE Transactions on Industrial Electronics.

[4]  Leopoldo G. Franquelo,et al.  Guidelines for weighting factors design in Model Predictive Control of power converters and drives , 2009, 2009 IEEE International Conference on Industrial Technology.

[5]  Abdellatif Miraoui,et al.  Control Strategies for Fuel-Cell-Based Hybrid Electric Vehicles: From Offline to Online and Experimental Results , 2012, IEEE Transactions on Vehicular Technology.

[6]  Abdellatif Miraoui,et al.  Sliding-Mode Control of an Ultrahigh-Speed Centrifugal Compressor for the Air Management of Fuel-Cell Systems for Automotive Applications , 2014, IEEE Transactions on Vehicular Technology.

[7]  Marian P. Kazmierkowski,et al.  State of the Art of Finite Control Set Model Predictive Control in Power Electronics , 2013, IEEE Transactions on Industrial Informatics.

[8]  Manfred Morari,et al.  Model Predictive Direct Torque Control—Part I: Concept, Algorithm, and Analysis , 2009, IEEE Transactions on Industrial Electronics.

[9]  Toshihiko Noguchi,et al.  A New Quick-Response and High-Efficiency Control Strategy of an Induction Motor , 1986, IEEE Transactions on Industry Applications.

[10]  Abdellatif Miraoui,et al.  Control of an Ultrahigh-Speed Centrifugal Compressor for the Air Management of Fuel Cell Systems , 2014, IEEE Transactions on Industry Applications.