Finite State Model Predictive Thrust Control Based on Reduced Number of Predicted Voltage Vectors for Linear Induction Motor

Publication Name

2022 IEEE Global Conference on Computing, Power and Communication Technologies, GlobConPT 2022


The computational burden represents a challenge nowadays, especially with the advancement of new control techniques, such as model predictive control. Therefore, this paper presents an improved finite-state model predictive thrust control (FS-MPTC) for linear induction motor (LIM). The proposed FS-MPTC uses in the prediction stage half of the available voltage vectors (VVs), The proposed method combines the conventional direct thrust control (DTC) and the FS-MPTC. Eliminating half of the voltage vectors during the prediction stage leads to a significant reduction in computational burden and hence gives the chance to use another technique to improve the overall drive performance. The behavior of the proposed FS-MPTC is examined through simulation results using the parameter of the actual 3kW arc machine. Comprehensive simulation and experimental results have proved that the proposed FS-MPTC can get same the response with shorter computation time compared to the conventional method.

Open Access Status

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