Position and MTPA Current Phase Estimation Method at Low Speed for IPMSMs Based on Flux Model Suitable for Maximum Torque Control

2019 ◽  
Vol 139 (7) ◽  
pp. 624-630
Author(s):  
Atsushi Matsumoto ◽  
Makoto Ozaki ◽  
Masaru Hasegawa
Keyword(s):  
Estimation Method ◽  
Torque Control ◽  
Current Phase ◽  
Phase Estimation ◽  
Maximum Torque ◽  
Low Speed ◽  
Flux Model

Position sensorless control of IPMSMs based on a novel flux model suitable for maximum torque control

2013 ◽  
Vol 184 (3) ◽  
pp. 55-66
Author(s):  
Atsushi Matsumoto ◽  
Masaru Hasegawa ◽  
Keiju Matsui
Keyword(s):  
Sensorless Control ◽  
Torque Control ◽  
Maximum Torque ◽  
Flux Model ◽  
Position Sensorless

An Absolute Phase Estimation Method for Interferometry Imagery

2019 ◽  
Vol 1 (2) ◽  
pp. 14-19
Author(s):  
Sui Ping Lee ◽  
Yee Kit Chan ◽  
Tien Sze Lim
Keyword(s):  
Noise Suppression ◽  
Estimation Method ◽  
Phase Image ◽  
Phase Estimation ◽  
Phase Reconstruction ◽  
Estimation Algorithms ◽  
Absolute Phase ◽  
Filtering Rate ◽  
Interferometric Phase ◽  
Image Performance

Accurate interpretation of interferometric image requires an extremely challenging task based on actual phase reconstruction for incomplete noise observation. In spite of the establishment of comprehensive solutions, until now, a guaranteed means of solution method is yet to exist. The initially observed interferometric image is formed by 2π-periodic phase image that wrapped within (-π, π]. Such inverse problem is further corrupted by noise distortion and leads to the degradation of interferometric image. In order to overcome this, an effective algorithm that enables noise suppression and absolute phase reconstruction of interferometric phase image is proposed. The proposed method incorporates an improved order statistical filter that is able to adjust or vary on its filtering rate by adapting to phase noise level of relevant interferometric image. Performance of proposed method is evaluated and compared with other existing phase estimation algorithms. The comparison is based on a series of computer simulated and real interferometric data images. The experiment results illustrate the effectiveness and competency of the proposed method.

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