Continuous set nonlinear model predictive control for an induction motor

An algorithm for Continuous Set Nonlinear Model Predictive Control (CS-NMPC) is investigated. The proposed strategy is employed to realize flux and torque control for an Induction Motor (IM). It is implemented on an FPGA-based system and its effectiveness is demonstrated with experimental results. The iteration based structure of the algorithm, makes it possible to reduce the needed logic resources. Computational performance of the FPGA implementation is enhanced through a pipelined parallel architecture. A comparison of computation performance shows that, the proposed hardware realization decreases the execution time of CS-NMPC algorithm. The paper concludes with some comments on extension of CS-NMPC to other motor drive types and converter topologies.