Direct Torque Control Based on Space Vector Modulation with Adaptive Neural Integrator for Stator Flux Estimation in Induction Motors

Author(s):  
Chunhua Zang ◽  
Xianqing Cao
2013 ◽  
Vol 416-417 ◽  
pp. 480-485
Author(s):  
Wei Zhang ◽  
Ping Zhang ◽  
Xin Hao Zhang ◽  
Xiao Feng Shen

This paper has proposed an efficient direct torque control strategy based on space vector modulation (SVM-DTC) for dual three-phase permanent magnet synchronous motor (DTP-PMSM), which is implemented in a synchronous reference frame aligned with the machine stator flux vector. This strategy adopts the space vector modulation technique to compensate for the stator flux error, and then the continuous smooth response of the vector control and the rapid response of direct torque control are both achieved. Simulation studies of a 3KW DTP-PMSM are carried out. Simulation results show the improvement of the torque response, decrease of the torque ripple, the higher steady performance and better flux waveform.


Author(s):  
Jian-Ding Tan ◽  
Siaw-Paw Koh ◽  
Sieh-Kiong Tiong ◽  
Kharudin Ali ◽  
Ahmed Abdalla

Over the past few years, multiple types of modifications have been proposed onto the Direct Torque Control (DTC) scheme. Among others is the implementation of Space Vector Modulation (SVM). In this paper, two new control strategies are proposed onto an SVM-DTC. Instead of using PI torque and flux controllers, a fuzzy logic control method is implemented in the proposed modification to achieve a more constant switching frequency while minimizing the torque error. The fuzzy logic controller controls the voltages in direct and quadratic reference frame (Vd, Vq). This approach fully utilizes the switching capability of the inverter and thus improving the overall system performance. To overcome issues in open loop stator flux such as DC drift and saturation, a closed loop estimation method of stator flux is also proposed based on voltage model and low pass filter. The performance of the proposed control strategy is benchmarked with that of a conventional DTC–SVM. Simulations and experiments were carried out and the results show that the proposed method outperforms the conventional DTC-SVM in terms of DC-offset elimination and overall system robustness. <p class="MsoNormal" style="text-align: justify; text-indent: 36.0pt;"><span style="font-size: 9.0pt; font-family: 'Arial','sans-serif'; color: black;" lang="EN-US">Over the past few years, multiple types of modifications have been proposed onto the Direct Torque Control (DTC) scheme. Among others is the implementation of Space Vector Modulation (SVM). In this paper, two new control strategies are proposed onto an SVM-DTC. Instead of using PI torque and flux controllers, a fuzzy logic control method is implemented in the proposed modification to achieve a more constant switching frequency while minimizing the torque error. The fuzzy logic controller controls the voltages in direct and quadratic reference frame (V<sub>d</sub>, V<sub>q</sub>). This approach fully utilizes the switching capability of the inverter and thus improving the overall system performance. To overcome issues in open loop stator flux such as DC drift and saturation, a closed loop estimation method of stator flux is also proposed based on voltage model and low pass filter. The performance of the proposed control strategy is benchmarked with that of a conventional DTC–SVM. Simulations and experiments were carried out and the results show that the proposed method outperforms the conventional DTC-SVM in terms of DC-offset elimination and overall system robustness. </span></p>


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