Constant-Parameter $RL$-Branch Equivalent Circuit for Interfacing AC Machine Models in State-Variable-Based Simulation Packages

2012 ◽  
Vol 27 (3) ◽  
pp. 634-645 ◽  
Author(s):  
Mehrdad Chapariha ◽  
Liwei Wang ◽  
Juri Jatskevich ◽  
Hermann W. Dommel ◽  
Steven D. Pekarek
2019 ◽  
Vol 34 (4) ◽  
pp. 1868-1880 ◽  
Author(s):  
Navid Amiri ◽  
Seyyedmilad Ebrahimi ◽  
Juri Jatskevich ◽  
Hermann W. Dommel

2014 ◽  
Vol 63 (2) ◽  
pp. 149-160 ◽  
Author(s):  
A. Kaplon ◽  
G. Utrata ◽  
J. Rolek

Abstract Contemporary sensorless AC drives require the use of electromechanical quantities estimation. The skin effect occurring in AC machines with solid secondary or with solid secondary elements causes machines of this type to be represented by equivalent circuits containing distributed elements, which makes the analysis of machine electrodynamic states more complicated and hinders the construction of relatively simple and effective estimators of electromechanical quantities. The variability of rotor parameters is modelled, with a good approximation, by the machine secondary multi-loop equivalent circuit with lumped elements. In this paper the construction procedure of electromechanical state variable estimators basing on this type of equivalent circuit will be presented. The simulation investigations of the created electromechanical quantities estimators, performed for the selected states of solid iron rotor AC machine operation will be shown as well.


1993 ◽  
Vol 140 (6) ◽  
pp. 377
Author(s):  
S. Pennathur ◽  
H.H.L. Kwok
Keyword(s):  

2020 ◽  
Vol 64 (1-4) ◽  
pp. 431-438
Author(s):  
Jian Liu ◽  
Lihui Wang ◽  
Zhengqi Tian

The nonlinearity of the electric vehicle DC charging equipment and the complexity of the charging environment lead to the complex and changeable DC charging signal of the electric vehicle. It is urgent to study the distortion signal recognition method suitable for the electric vehicle DC charging. Focusing on the characteristics of fundamental and ripple in DC charging signal, the Kalman filter algorithm is used to establish the matrix model, and the state variable method is introduced into the filter algorithm to track the parameter state, and the amplitude and phase of the fundamental waves and each secondary ripple are identified; In view of the time-varying characteristics of the unsteady and abrupt signal in the DC charging signal, the stratification and threshold parameters of the wavelet transform are corrected, and a multi-resolution method is established to identify and separate the unsteady and abrupt signals. Identification method of DC charging distortion signal of electric vehicle based on Kalman/modified wavelet transform is used to decompose and identify the signal characteristics of the whole charging process. Experiment results demonstrate that the algorithm can accurately identify ripple, sudden change and unsteady wave during charging. It has higher signal to noise ratio and lower mean root mean square error.


2010 ◽  
Vol 130 (11) ◽  
pp. 1897-1906
Author(s):  
Yoshiyuki Saito ◽  
Masakatsu Yasuhara ◽  
Yuichi Mabuchi ◽  
Tohlu Matsushima ◽  
Takashi Hisakado ◽  
...  

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