scholarly journals Direct instantaneous torque control system for switched reluctance motor in electric vehicles

2019 ◽  
Vol 2019 (16) ◽  
pp. 1847-1852 ◽  
Author(s):  
Lijun Liu ◽  
Mingwei Zhao ◽  
Xibo Yuan ◽  
Yi Ruan
Keyword(s):  
Control System ◽  
Electric Vehicles ◽  
Switched Reluctance Motor ◽  
Torque Control ◽  
Switched Reluctance ◽  
Reluctance Motor

scholarly journals Predictive Direct Torque Control of Switched Reluctance Motor for Electric Vehicles Drives

2020 ◽  
Author(s):  
Reyad Abdelfadil ◽  
László Számel
Keyword(s):  
Electric Vehicles ◽  
High Performance ◽  
Direct Torque Control ◽  
Switched Reluctance Motor ◽  
Power Converter ◽  
Torque Control ◽  
Switching Frequency ◽  
Suggested Approach ◽  
Switched Reluctance ◽  
Reluctance Motor

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.

scholarly journals Control System Design for 16/6/8 Double-Stator Bearingless Switched Reluctance Motor

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Chuanyu Sun ◽  
Hang Yang ◽  
Shangke Han ◽  
Hongchang Ding ◽  
Jiaqing Li ◽  
...  
Keyword(s):  
Control System ◽  
Levitation Force ◽  
Switched Reluctance Motor ◽  
Torque Ripple ◽  
Torque Control ◽  
Strong Nonlinearity ◽  
Loop Control ◽  
Switched Reluctance ◽  
State Process ◽  
Reluctance Motor

The 16/6/8 double-stator bearingless switched reluctance motor (DSBSRM) is used as the object of study in this paper. To solve the problem of torque and levitation force ripples in this motor, a control system direct force control (DFC) and direct instantaneous torque control (DITC) based on the torque sharing function (TSF) are proposed. With the strong nonlinearity and approximation capability of radial basis function neural networks, the torque and levitation force observer are designed. The observed torque and levitation forces are used as feedback for the internal loop control, which is combined with the external loop control to make a double closed-loop control. In order to further improve the output torque and system robustness and suppress the torque ripple in steady-state process, the motor winding method is optimized and a set of switching angles is added on the basis of TSF. The simulation results verify the effectiveness and superiority of the proposed control method. It effectively suppresses speed ripple and reduces torque and levitation force fluctuations and rotor radial displacement jitter.

scholarly journals Direct Instantaneous Torque Control of the Switched Reluctance Motor for Electric Vehicles Applications Using Fuzzy Logic Control

2019 ◽  
Vol 12 (2) ◽  
pp. 101-116
Author(s):  
Reyad Mohamed Abdel-Fadil ◽  
László Számel
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicles ◽  
Fuzzy Logic Control ◽  
Direct Torque Control ◽  
Switched Reluctance Motor ◽  
Torque Control ◽  
Switched Reluctance ◽  
Logic Control ◽  
Reluctance Motor ◽  
Torque Ripples

This paper presents direct torque control of Switched Reluctance Motor (SRM) using Fuzzy Logic Control (FLC) for electric vehicles applications. The PD-FLC is proposed for SRM torque control, to keep the torque of the motor shaft in tracking the reference torque with high accuracy. With the help of FLC techniques, the SRM torque ripples can be reduced compared to traditional control techniques. In this study, the nonlinear 6/4 SRM model is simulated with the symmetrical converter, and the converter controller is programmed using C-language. The proposed method is tested at different load and variable speed conditions, and the obtained results confirm that the FLC direct torque control can be used for torque control to improve the motor performance and reduce the torque ripples compared to other techniques such as direct instantaneous torque control.

Sign in / Sign up

Export Citation Format

Share Document