Parallel Predictive Torque Control for Induction Machines Without Weighting Factors

Parallel Predictive Torque Control for Induction Machines Without Weighting Factors

JournalETCenterUNAB

JournalETCenterUNAB

Finite control set model predictive control (FCS-MPC) calculates torque and flux tracking errors via a cost function that is used for selecting the optimal vector. Compared with field oriented control, FCS-MPC has the merit of a faster dynamic performance because it eliminates both pulsewidth modulation and inner proportion-integration controllers. However, the weighting factor for modifying torque and flux terms must be tuned in accordance with varying operating conditions; this is an area in which further research is needed. In this paper, a parallel predictive torque control (PPTC) with predefined constraints is proposed as a solution for this problem.

Cite this:

Control ScheL. He, F. Wang, J. Wang and J. Rodríguez, “Zynq Implemented Luenberger Disturbance Observer Based Predictive Control Scheme for PMSM Drives,” in IEEE Transactions on Power Electronics, vol. 35, no. 2, pp. 1770-1778, Feb. 2020, doi: 10.1109/TPEL.2019.2920439.

URL: 

https://ieeexplore.ieee.org/document/8735918

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