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Switched Reluctance Motor Sensorless Position Estimation Based on Reference-Flux Linkage

Author: FanWeiDong
Tutor: BianDunXin
School: Shandong University of Technology
Course: Detection Technology and Automation
Keywords: Switched Reluctance Motor No position sensor Reference flux method Identification of the equations of motion Fuzzy Neural Network Matlab / Simulink
CLC: TM352
Type: Master's thesis
Year: 2010
Downloads: 121
Quote: 2
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Abstract

Switched reluctance drive system (referred to as the SRD-Switched Reluctance Driver) is a new speed control system developed in the mid-1980s. The relative position of the rotor and stator decided to phase winding pass off the key factors. Currently most of photoelectric switches, Hall sensors to detect the position angle. The position angle input control system, as to control the power converter on the basis of phase winding power on or off. The presence of the position sensor reduces the advantage of the SR motor in all aspects, so the position sensor technology has been a hot research. In this paper, the SR motor without position angle sensor technology and the equations of motion parameter identification problem of research and discussion, the specific work is divided into the following points: 1. Summary and synthesis. Based on switched reluctance motor systems and theory, summarize the advantages and disadvantages of the previous position sensor position angle detection technology, various methods outlined; 2. Baseline flux method. The statement of the proposed process and the basic idea of ??the method to demonstrate its feasibility, and SR motor start, low-speed and high-speed; 3. The reference flux method simulation. In Matlab / Simulink using fuzzy neural network modeling flux curve of the reference position; improvement in Simulink SRD system model can be used to simulate a 12/8 pole SRM and data added experimental aircraft flux; SRM runtime real-time output baseline flux and flux, both are compared to obtain the size of the relationship, in order to get the motor position angle; online estimate of the flux integral synchronous sampling and winding resistance; choice of different reference position flux simulation distinction and influence of different reference flux; 4 online training simulation. Simulation to achieve the accuracy of the online to strengthen baseline flux model to improve the accuracy of the position angle; equations of motion online identification. Observation the average torque; each chopper cycle detected on the basis of the position angle position sensor technology, the use of proceeds speed, based on recursive least squares method to achieve the identification of the parameters of the equations of motion, the dynamic parameters obtained reflect the real-time motion characteristics of the SR motor in the dynamic case, can provide the basis for torque control strategy; 6. Summary and Outlook. Summary This paper work, including the shortcomings of the reference flux method, online identification of the dynamic parameter of the equation of motion applications, the outlook on future research trends.

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