Regression Techniques for Parameter Estimation of a Synchronous Machine from Sudden Short-Circuit Testing

2019 ◽  
Author(s):  
Brett A. Robbins ◽  
Will Perdikakis ◽  
Kevin J. Yost
Keyword(s):  
Parameter Estimation ◽  
Short Circuit ◽  
Synchronous Machine ◽  
Circuit Testing ◽  
Regression Techniques

Prospective Transient Recovery Voltage Measurement of Short Circuit Testing Circuit by Reverse Current Injection

2019 ◽  
Vol 139 (8) ◽  
pp. 522-526
Author(s):  
Kyoya Nonaka ◽  
Tadashi Koshizuka ◽  
Eiichi Haginomori ◽  
Hisatoshi Ikeda ◽  
Takeshi Shinkai ◽  
...  
Keyword(s):  
Short Circuit ◽  
Reverse Current ◽  
Current Injection ◽  
Voltage Measurement ◽  
Circuit Testing ◽  
Transient Recovery Voltage ◽  
Recovery Voltage

scholarly journals Modeling and Fault Diagnosis of Interturn Short Circuit for Five-Phase Permanent Magnet Synchronous Motor

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Jian-wei Yang ◽  
Man-feng Dou ◽  
Zhi-yong Dai
Keyword(s):  
Parameter Estimation ◽  
Fault Diagnosis ◽  
Permanent Magnet ◽  
Fault Tolerant ◽  
Short Circuit ◽  
Estimation Method ◽  
Trust Region ◽  
Fault Tolerant Control ◽  
Trust Region Algorithm ◽  
Parameter Estimation Method

Taking advantage of the high reliability, multiphase permanent magnet synchronous motors (PMSMs), such as five-phase PMSM and six-phase PMSM, are widely used in fault-tolerant control applications. And one of the important fault-tolerant control problems is fault diagnosis. In most existing literatures, the fault diagnosis problem focuses on the three-phase PMSM. In this paper, compared to the most existing fault diagnosis approaches, a fault diagnosis method for Interturn short circuit (ITSC) fault of five-phase PMSM based on the trust region algorithm is presented. This paper has two contributions. (1) Analyzing the physical parameters of the motor, such as resistances and inductances, a novel mathematic model for ITSC fault of five-phase PMSM is established. (2) Introducing an object function related to the Interturn short circuit ratio, the fault parameters identification problem is reformulated as the extreme seeking problem. A trust region algorithm based parameter estimation method is proposed for tracking the actual Interturn short circuit ratio. The simulation and experimental results have validated the effectiveness of the proposed parameter estimation method.

scholarly journals Estimation of Equivalent Circuit Parameters of Single-Phase Transformer by Using Chaotic Optimization Approach

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1697 ◽  
Author(s):  
Martin Ćalasan ◽  
Danilo Mujičić ◽  
Vesna Rubežić ◽  
Milovan Radulović
Keyword(s):  
Parameter Estimation ◽  
Equivalent Circuit ◽  
Single Phase ◽  
Classical Method ◽  
Short Circuit ◽  
Average Error ◽  
Optimization Approach ◽  
Power Load ◽  
Equivalent Circuit Parameters ◽  
Output Characteristics

This paper deals with parameter estimation of single-phase transformer equivalent circuit by using Chaotic Optimization Approach (COA). Unknown transformer equivalent circuit parameters need to be accurately estimated for the best possible matching between the measured and the estimated transformer output characteristics (for example, output power—load resistance characteristic). Unlike literature approaches which apply different estimation techniques and are based either on the nameplate data or the load data obtained from experiments, in this paper the use of COA is evaluated on both types of input data. For two single-phase transformers, different with respect to machine power and voltage levels, the COA-based parameter estimation is compared to various literature techniques as well as to classical method based on open-circuit and short-circuit tests. The results show that COA outperforms other approaches in terms of average error between the measured and the estimated values of the primary current, secondary current and secondary voltage at full load, or between the measured and the estimated output characteristics. The effectiveness of COA is additionally confirmed through its application on laboratory 2kVA, 220 V/110 V, 50 Hz single-phase transformer.

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