Speed estimation of an IM using Kalman filter algorithm at ultra-low speed region

Jae-Yoo Yoo,Tae-Sik Park,Seong-Hwan Kim,Nam-Jeung Kim

Milwaukee, WI（1997）

引用 8|浏览8

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摘要

Since the average speed calculated with encoder pulses inevitably has time delay effects, it can degrade the control performance as well as system stability of induction motors, especially in the low speed region. In this paper, an accurate speed estimation method using a Kalman filter algorithm is presented to improve the speed control performance of an induction motor with a low precision shaft encoder in the low speed operating region

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关键词

kalman filters,control system analysis,filtering theory,induction motors,machine control,machine testing,machine theory,parameter estimation,stability,velocity control,2.2 kw,kalman filter algorithm,control performance,control simulation,control stability,induction motor speed control,low-precision shaft encoder,speed estimation,ultra-low speed operating region,torque,gaussian noise,time measurement,speed control,covariance matrix,kalman filter,noise measurement,degradation,induction motor,control systems,phase noise

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