scholarly journals Direct Torque Control using Space Vector Modulation and Dynamic Performance of the Drive, via a Fuzzy Logic Controller for Speed Regulation

10.5772/15581 ◽  
2011 ◽  
Author(s):  
Adamidis Georgios ◽  
Zisis Koutsogiannis
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Dynamic Performance ◽  
Direct Torque Control ◽  
Torque Control ◽  
Space Vector Modulation ◽  
Space Vector ◽  
Speed Regulation ◽  
Vector Modulation

scholarly journals Fuzzy Logic Enhanced Direct Torque Control with Space Vector Modulation

2018 ◽  
Vol 11 (2) ◽  
pp. 704
Author(s):  
Jian-Ding Tan ◽  
Siaw-Paw Koh ◽  
Sieh-Kiong Tiong ◽  
Kharudin Ali ◽  
Ahmed Abdalla
Keyword(s):  
Fuzzy Logic ◽  
Direct Torque Control ◽  
Torque Control ◽  
Switching Frequency ◽  
Space Vector Modulation ◽  
Space Vector ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Stator Flux ◽  
Vector Modulation

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>

scholarly journals DIRECT TORQUE CONTROL OF MULTI-PHASE INDUCTION MOTOR WITH FUZZY LOGIC SPEED CONTROLLER

2017 ◽  
Vol 7 (4) ◽  
pp. 38-43
Author(s):  
Jacek Listwan
Keyword(s):  
Fuzzy Logic ◽  
Induction Motor ◽  
Control Method ◽  
Direct Torque Control ◽  
Torque Control ◽  
Space Vector Modulation ◽  
Simulation Studies ◽  
Space Vector ◽  
Speed Controller ◽  
Vector Modulation

The paper presents the Direct Torque Control with Space Vector Modulation (DTC-SVM) of seven-phase induction motor with Fuzzy Logic Speed Controller. The mathematical model of the seven-phase squirrel-cage induction motor and chosen methods of Space Vector Modulation have been presented. Simulation studies of the DTC-SVM with Fuzzy Logic speed controller have been carried out and the results of simulation studies have been presented and discussed. The author original contribution includes analysis and studies of considered control method of seven-phase induction motor.

Examination and implementation for direct torque controlled permanent magnet synchronous motor with space vector modulation

2018 ◽  
Vol 233 (2) ◽  
pp. 153-163 ◽  
Author(s):  
Bowen Ning ◽  
Shanmei Cheng ◽  
Baokang Yan ◽  
Fengxing Zhou
Keyword(s):  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Direct Torque Control ◽  
Synchronous Motor ◽  
Torque Control ◽  
Space Vector Modulation ◽  
Control Loop ◽  
Space Vector ◽  
Torque Control Strategy ◽  
Vector Modulation

This study investigates the direct torque control strategy of permanent magnet synchronous motor with the space vector modulation, on account of large torque fluctuation and varied switching frequency of classic direct torque control strategy. The relationship among the terminal control voltages and the torque and stator flux of the permanent magnet synchronous motor is derived through the dynamic model of motor. Accordingly, the torque and the flux closed-loop feedback control structure are established, where the error signals are regulated by the proportional and integral controllers to generate output voltages. Furthermore, the parameters of the controllers are designed through explicitly analyzing the frequency domain models of the torque control loop and the flux control loop. The accurate calculation formula of control parameters, which has both explicit setting target and definite physical meaning, is obtained. Therefore, the design of torque and flux controller parameters becomes easy in the direct torque control with space vector modulation technology, and satisfactory flux and torque control can be acquired. Finally, simulation and experimental tests are demonstrated in support of the validity of the investigated scheme and the feasibility of the proposed controller parameter design.

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