Induction Motor Drive Parameters Identification Applying Difference Schemes

2014 ◽  
Vol 698 ◽  
pp. 65-68 ◽  
Author(s):  
Eugene Bolovin ◽  
Alexander Glazyrin ◽  
Vladimir Polichshuk
Keyword(s):  
Induction Motor ◽  
Equation System ◽  
Difference Schemes ◽  
Parameters Identification ◽  
Total Delay ◽  
Equivalent Time ◽  
The Difference ◽  
Relative Errors ◽  
Rotor Winding ◽  
Cage Induction Motor

The authors have developed and tested by mathematical modeling the method of the induction motor parameters identification based on the difference schemes. When obtaining a difference equation system, the total delay time was taken to be equal to a quarter of a stator voltage period. The nonlinear predictive filtration was used to determine the expected value. The authors determined the estimators of rotor active resistance reduced to the stator; the rotor winding equivalent inductance; the stator winding equivalent inductance, the resulting inductance conditioned by the magnetic flux in the machine air gap; equivalent time constant for rotor circuit in the squirrel cage induction motor. The root mean square values of relative errors of parameters estimations total less than 4 %.

scholarly journals Efficiency of Cascaded Neural Networks in Detecting Initial Damage to Induction Motor Electric Windings

Electronics ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1314
Author(s):  
Maciej Skowron ◽  
Teresa Orłowska-Kowalska
Keyword(s):  
Neural Networks ◽  
Induction Motor ◽  
High Efficiency ◽  
Supply Voltage ◽  
Frequency Converter ◽  
Damage Classification ◽  
Voltage Frequency ◽  
Rotor Winding ◽  
Cage Induction Motor ◽  
Diagnostic Software

This article presents the efficiency of using cascaded neural structures in the process of detecting damage to electrical circuits in a squirrel cage induction motor (IM) supplied from a frequency converter. The authors present the idea of a sequential connection of classic neural structures to increase the efficiency of damage classification and detection presented by individual neural structures, especially in the initial phase of single or multiple electrical failures. The easily measurable axial flux signal is used as a source of diagnostic information. The developed cascaded neural networks are implemented in the measurement and diagnostic software made in the LabVIEW environment. The results of the experimental research on a 1.5 kW IM supplied by an industrial frequency converter confirm the high efficiency of the use of the developed cascaded neural structures in the detection of incipient stator and rotor winding faults, namely inter-turn stator winding short circuits and broken rotor bars, as well as mixed failures in the entire range of changes of the load torque and supply voltage frequency.

scholarly journals Characterization of Temperature and Productive Torque for 160l Frame Squirrel Cage Induction Motor

2021 ◽  
Author(s):  
Sudha. B ◽  
◽  
Anusha Vadde ◽  
Krishnan Manickavasagam ◽  
Govind R Kadambi ◽  
...  
Keyword(s):  
Induction Motor ◽  
Induction Motors ◽  
Electric Motors ◽  
Mathematical Relationship ◽  
Propulsion Systems ◽  
Squirrel Cage ◽  
Squirrel Cage Induction Motor ◽  
Rotor Winding ◽  
Cage Induction Motor

Induction motor usage is increasing drastically due to new entrant of electric vehicle, traction and propulsion systems at present. Temperature of electric motors are significantly affect its parameters. Since, resistances variation of stator and rotor winding are depend on temperature, the torque speed characteristics also affects in the induction motors. In this paper, a innovative approach is proposed to arrive the relation of temperature on torque. Thermal analysis of 160 L-frame induction motors is carried out using Finite Element Method (FEM) under various load to obtain temperature. The mathematical relationship between temperature and torque is arrived using curve fitting technique. The expression arrived in this method is used to predict the torque for a given temperature of SCIM.

scholarly journals A ΔSOC-based equalization strategy applied to industry

2020 ◽  
Author(s):  
Maonan Wang ◽  
Chun Chang ◽  
Feng Ji
Keyword(s):  
Open Circuit ◽  
Battery Pack ◽  
Battery Management System ◽  
Battery Management ◽  
Battery Cell ◽  
New Strategy ◽  
The Difference ◽  
Relative Errors ◽  
The Relationship ◽  
Battery Cells

Abstract The voltage-based equalization strategy is widely used in the industry because the voltage (U) of the battery cell is very easy to obtain, but it is difficult to provide an accurate parameter for the battery management system (BMS). This study proposes a new equalization strategy, which is based on the difference between the state of charge (SOC) of any two battery cells in the battery pack, that is, a ΔSOC-based equalization strategy. The new strategy is not only as simple as the voltage-based equalization strategy, but it can also provide an accurate parameter for the BMS. Simply put, using the relationship between the open circuit voltage and the SOC of the battery pack, the proposed strategy can convert the difference between the voltage of the battery cells into ΔSOC, which renders a good performance. Additionally, the required parameters are all from the BMS, and no additional calculation is required, which makes the strategy as simple as the voltage-based balancing strategy. The four experiments show that the relative errors of ΔSOC estimated by the ΔSOC-based equalization strategy are 0.37%, 0.39%, 0.1% and 0.17%, and thereby demonstrate that the ΔSOC-based equalization strategy proposed in this study shows promise in replacing the voltage-based equalization strategy within the industry to obtain better performance.

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