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http://dx.doi.org/10.5573/ieie.2016.53.6.174

Unscented Transformation According to Scaling Parameter for Motor Drive without Position Sensor  

Moon, Cheol (Department School of Electrical and Computer Engineering, Pusan National University)
Kwon, Young-Ahn (Department School of Electrical and Computer Engineering, Pusan National University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.53, no.6, 2016 , pp. 174-180 More about this Journal
Abstract
This paper study about an unscented Kalman filter with a variety type of unscented transformation to estimate state values for speed control without position sensor of a permanent-magnet synchronous motor. The principles of an unscented transformation and unscented Kalman filter are examined and their application is explained. Generally the mapping process can be divided into two type, such as a basic and a general form according to a scaling parameter. And computation time, the number of samples, and weights about samples are different from each other. But, there is no little information on the scaling parameter value how this value influences the system performance. Simulation and experimental results show the validity of the designed unscented transformation performance with the various scaling parameter values for sensorless motor drive.
Keywords
Unscented Kalman filter; Unscented transformation; state estimation; scaling parameter; sensorless motor drive;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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