Rotor Position Simulation of Switched Reluctance Motor Based on Fuzzy Inference Rules

Author

Wang, Xiang ; Li, Mei

Author_Institution

Inst. of Inf. & Eng., Hebei Univ. of Technol., Shijiazhuang, China

fYear

2009

fDate

8-9 Dec. 2009

Firstpage

75

Lastpage

78

Abstract

A non-linear mathematical model of switched reluctance motor is established, Based on the analysis of the relationship between Â¿-I-Â¿ curve of motor, A new type of indirect rotor position estimation method using fuzzy inference rules is designed. The paper adopted MATLAB6.1 as a simulation tool, used for the simulation of fuzzy inference rules of rotor position angle, The simulation result shows that: Angle of rotor position measured changes continuously and smoothly in the required scope, The estimated results is very good.

Keywords

fuzzy reasoning; machine control; power engineering computing; reluctance motors; rotors; fuzzy inference rules; nonlinear mathematical model; rotor position estimation method; rotor position simulation; switched reluctance motor; Costs; Couplings; Hysteresis motors; Mathematical model; Position measurement; Reluctance machines; Reluctance motors; Rotors; Sensor systems; Switches; fuzzy inference rules; rotor position estimation; switched reluctance motor;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovation Management, 2009. ICIM '09. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3911-9

Type

conf

DOI

10.1109/ICIM.2009.25

Filename

5381285