Three-Vector Model Predictive Current Control by Expected Sector
The value function is used to select the expected voltage vector from the six groups of voltage vectors as the control variable in three-vector model predictive current control,which has the disadvantages on heavy computing cost.A novel three-vector model predic-tive current control with the expected sector is proposed to quickly determine the expected voltage vector as the current control variable.Firstly,three vector current model of d-q axis is set up with the execution time of the expected vector.Moreover,the expected vector is determined with the condition that predictive current is equal to expected current,and the expected voltage vector of α-β axis is deter-mined by Clark transformation.Finally,the angle of the expected voltage vector is obtained by arctangent function to determine the expect sector and execution times of the expected vectors.Simulations and experiments show that the proposed method can maintain excellent control performance and effectively reduce the execution time on control cycle by about 60%of the traditional three-vector model predic-tion method.
permanent magnet synchronous motorcurrent controlthree-vector model predictionexpected sectorlow computing cost
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