Abstract
In conventional model predictive control, the dimensions of the control variables are different from each other, which makes adjusting the weighted factors in the cost function complicated. This issue can be solved by adopting the model predictive flux control. However, the performance of the electromagnetic torque is affected by the change of the cost function. A novel model predictive torque control of the interior permanent magnet synchronous motor is presented in this paper, and the cost function involving the excitation torque and reluctance torque is established. Combined with the model predictive flux control and discrete space vector modulation, the current ripple and torque ripple are reduced. The performance of torque under an overload condition is superior to model predictive flux control. The effectiveness of the proposed algorithm is verified by the simulation and experimental results.
Highlights
The interior permanent magnet synchronous motor (IPMSM) is widely used in the fields of industry, transportation, and aerospace, because of advantages such as high-power density, high-torque density, and high efficiency [1,2]
Because of the asymmetry rotor magnetic circuit structure, the reluctance torque can be generated by IPMSM
The weighted factor will be eliminated in the model predictive flux control (MPFC) [17] if the Theobject weighted factor will eliminated model control (MPFC)
Summary
The interior permanent magnet synchronous motor (IPMSM) is widely used in the fields of industry, transportation, and aerospace, because of advantages such as high-power density, high-torque density, and high efficiency [1,2]. Built a cost function of the [15] use the VIKOR sorting method to eliminate the weighted factor. Torque flux errors infunction a traditional replaced by the deadbeat duty ratios of theduty adopted. This method solves problem of cost function aretwo replaced by the two deadbeat ratiosvectors. Based on the online control of the the stator flux vector, removed from the cost function, and the algorithm is simplified. Weighted factor is removed from the cost function, and the algorithm is simplified In this thispaper, paper,the thetorque torquecharacteristics characteristicsofofthe the under control is analyzed, improved. The torque ripple under an components share the same unit, the weighted factor is eliminated. The effectiveness of the proposed method is verified in the whole speed and experimental results.and experimental results
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