scholarly journals Position Sensorless Control of Switched Reluctance Motor under Magnetic Field Saturation

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.

2013 ◽  
Vol 367 ◽  
pp. 405-410
Author(s):  
Guo Qing Li ◽  
Dean Zhao ◽  
Hui Jiang

To solve the strong coupling and nonlinear of switched reluctance motor (SRM) used in the Electric valve ,we use a fuzzy compound PID control method, and apply it to the switched reluctance motors speed control system.The simulation applys that this method combines the advantages of fuzzy control and PID control and is well applied to non-linears object.Based on the theory, we design the core to the outer loops speed feedback and inner current loops feedback system in TMS320F28335,and describe the specific hardware and software structure, morely verify the feasibilitys test. The theory can solve the problem that the traditional PID cannot meet the variation of the parameter from the electric valve.


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.


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