Direct torque control of switched reluctance motor for minimizing torque ripple

2008 ◽  
Vol 28 (1-2) ◽  
pp. 247-253 ◽  
Author(s):  
Youn-Hyun Kim ◽  
Sol Kim ◽  
Jae-Hak Choi ◽  
Joonseon Ahn ◽  
Chang-Hyun Cho ◽  
...  
2013 ◽  
Vol 321-324 ◽  
pp. 1686-1691
Author(s):  
Xiao Chun Zhang ◽  
Xiao Jun Liu ◽  
Kai Chun Ren ◽  
Li Jie Zhu ◽  
Jing Jun Zhan ◽  
...  

Torque ripple is a disadvantage of SRM. Using DTC strategy can cut down the ripple. DTC is a kind of Bang-Bang control, the result is limited. Fuzzy control can measure the error level to get better result. CCC strategy, DTC strategy and fuzzy DTC strategy are simulated in the article. Simulation results show that DTC strategy had cut down the ripple to some extent than CCC and it works better by combining with fuzzy control.


2020 ◽  
Vol 306 ◽  
pp. 04007
Author(s):  
Qianni Li ◽  
Aide Xu ◽  
Chaoyi Shang ◽  
Lepeng Huang

This paper proposes a novel deadbeat torque and flux control (DB-DTFC) to reduce torque ripple for switched reluctance motor (SRM). DB-DTFC combines the advantages of direct torque control (DTC) and space-vector modulation (SVM). DB-DTFC leads current vector control into DTC in order to find the equation between torque and current through deadbeat prediction theory i.e. a beat reaches a given point. In addition, the deadbeat calculation module here is similar to that of permanent magnet synchronous motor. Based on dq0 reference frame of SRM, the most suitable dq0 axis current of next moment corresponding to different torque errors is calculated and predicted. According to the calculated dq0 axis current, the optimal space voltage vectors can be selected to reduce torque ripple. In order to verify the effectiveness and correctness of the proposed scheme, DB-DTFC is verified and compared with the DTC-SVM by simulation.


Author(s):  
Reyad Abdelfadil ◽  
László Számel

The electrical drive systems utilized in Electric Vehicles (EVs) applications must be reliable and high performance. To providing these specifications, it is essential to design high-efficiency electric motors and develop high-performance controllers. This study introduces direct torque control of Switched Reluctance Motor (SRM) for electric vehicle applications using Model Predictive Control (MPC) technique. The direct torque control using MPC is proposed to maintain the motor torque and motor speed to tracking desired signals with a satisfactory response. In this study, the MPC algorithm was programmed in C- language, and the simulation tests were performed using a non-linear model of 6/4 - 60 kW SRM that is fed with the symmetrical converter. The proposed controller was tested under different load conditions to verify the robustness of the controller, as well as at variable speeds to investigate the tracking performance. Thanks to the proposed method, the SRM torque ripples, stator copper losses, and average switching frequency of the power converter can reduce effectively due to applying a cost function that combines multiple objectives. The obtained outcomes show the effectiveness of the suggested approach compared to conventional direct torque control techniques.


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