Estimation of Angular Velocity and Position of a Permanent Magnet Synchronous Motor Using Discrete-time Extended Kalman Filter and Hybrid Extended Kalman filter
محل انتشار: چهارمین کنفرانس ملی و دومین کنفرانس بین المللی پژوهش های کاربردی در مهندسی برق، مکانیک و مکاترونیک
سال انتشار: 1395
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 509
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شناسه ملی سند علمی:
ELEMECHCONF04_451
تاریخ نمایه سازی: 11 مرداد 1396
چکیده مقاله:
In this paper we analyze the permanent magnet synchronous motor. The state equations governing the permanent magnet synchronous motor are nonlinear, so the angular position and velocity of its rotor are estimated using nonlinear filters. Since the current passing through the armature is measurable, this measurement is used to estimate system states (i.e. angular position and angular velocity). Discrete extended Kalman filter and hybrid extended Kalman filter algorithms are presented. The comparison between simulation results of rotor’s position and velocity estimation using discrete extended Kalman filter and hybrid Kalman filter shows that hybrid Kalman filter estimator has better performance
کلیدواژه ها:
discrete-time extended Kalman filter ، hybrid extended Kalman filter ، motor state estimation ، nonlinear systems ، permanent magnet synchronous motor
نویسندگان
Siroos Talaee
Malek Ashtar University of Technology (MUT), Tehran, Iran
Saeed Nasrollahi
Sharif University of Technology, Tehran, Iran
Mohammad Reza Arvan
Malek Ashtar University of Technology (MUT), Tehran, Iran