scholarly journals Experimental Sensorless Control of Switched Reluctance Motor for Electrical Powertrain System

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3081 ◽  
Author(s):  
Ahmed Chaibet ◽  
Moussa Boukhnifer ◽  
Nadir Ouddah ◽  
Eric Monmasson

In this paper a mechanical sensorless control of Switched Reluctance Motors (SRMs) scheme of an electric vehicle (EV) powertrain is presented. The aim is to develop a soft sensors implementation for position and speed measurements of SRM. This contribution is focused on an extended Kalman filter and a sliding mode observer. The proposed observers are designed to generate speed and position estimations with the purpose of achieving highly robust speed control. The performances of these two observers are assessed and their robustness are analyzed. The design also includes a robustness analysis of the proposed mechanical sensorless control scheme under conditions which take the parameter variations and the load torque into account. To carry out this work, experiments are highlighted on an experimental test bench of 8/6 Switched Reluctance Motor prototype.

2013 ◽  
Vol 694-697 ◽  
pp. 2085-2088
Author(s):  
Ying Zhao ◽  
Shuang He Wu ◽  
Huan Huan Liu ◽  
Nai Cheng Du

This paper analysis the problem of a switched reluctance motor (SRM), which is based on the phase currents by using three independent current sensors. In addition, the reaching condition and stability conditions of sliding mode control (SMC) method has been discussed, and it has been applied to SRM speed control loop that compensates the torque ripple on the torque output. The proposed sliding mode controller performs better than the traditional PI controllers and is also more effectively to the external disturbances. For the switched reluctance motor, one of the factors of the torque ripple is mutual inductances, so the mathematical model of the SRM should consider its influence. And, the mechanical sensor has been used to sense the rotor position. The simulation experiment results of the control scheme using Matlab show that the proposed method for the switched reluctance motor is effective.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 61034-61045 ◽  
Author(s):  
Jundi Sun ◽  
Guang-Zhong Cao ◽  
Su-Dan Huang ◽  
Yeping Peng ◽  
Jiangbiao He ◽  
...  

Author(s):  
Mohammed Moanes E. Ali ◽  
Yousif Khudhair Fakhir

Switched Reluctance motors (SRM) can be classified into a group of multi-speed electrical motors. The low cost, rugged constructions and simple are feature advantages for this motor. The simplicity is the result of their torque generation principle, which known as variable reluctance principle. The SRM has many more features that have made it to be common for applications in commercial and industrial markets. The main disadvantage of SRM is the nonlinearity that it appears in their dynamics because of the magnetic saturation. It is required for SRM speed controllers to have features such as fast dynamic responses, parameter insensitivity and quick recovery from load disturbances. In this paper, a design of a robust sliding mode speed controller based on a nonlinear mathematical model is proposed. Matlab/Simulink software is used to simulate switched reluctance motor drive system under control of SMC. 6/8 switched reluctance motor has been taken as case study. The performance of proposed sliding mode control is tested at different load and speed conditions, and comparisons with conventional PI control for switched reluctance motor are presented. The sliding mode controller exhibits a better performance than the PI controller for all the studied cases.


2021 ◽  
Vol 256 ◽  
pp. 01040
Author(s):  
Chunyuan Qiu ◽  
Baojiang Sun

When the switched reluctance motor is running, as the motor phase current increases, the magnetic circuit of the motor will gradually saturate, which affects the estimation of the special position of the motor rotor. Aiming at the above problems, this paper proposes a positionless control method for switched reluctance motors under the condition of magnetic field saturation. Firstly, the Fourier phase inductance function of switched reluctance motor is established, and then the component of Fourier phase inductance function affected by magnetic field saturation is eliminated mathematically. Research the method of estimating the position and angle of the rotor based on the inductance positioning point. This paper takes a 12\8 motor as an example to verify the effectiveness of the method by simulation.


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