Parameter sensitivity of full-order flux observers for induction motors

Chongjun Su; Xin Den; Shanshan Huang; Pengkun Xing

doi:10.1117/12.3024407

13 May 2024 Parameter sensitivity of full-order flux observers for induction motors

Chongjun Su, Xin Den, Shanshan Huang, Pengkun Xing

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 1315954 (2024) https://doi.org/10.1117/12.3024407
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

Accurate orientation of rotor flux is needed to ensure the success of vector control and full-order observer observation of flux. However, magnetic field orientation depends on motor parameters, and motor parameters change with ambient temperature and operating conditions. The Inverse Γmathematical model of the asynchronous motor is derived, and the full-order observer model of the asynchronous motor is established through the mathematical model, and then the influence of various parameters of the induction motor on the observed full-order observer flux is studied in the case of no feedback matrix. In addition, the relationship between the identification speed and the motor parameters is deduced by equating the actual current of the motor and the observed current of the q-axis. Due to the complexity of the relationship and the unclear physical meaning, a three-dimensional diagram of the variation of speed identification error and flux observation error with a plot for the actual speed and load of the motor. Finally, the simulation results show that the greatest influence is the stator resistance on the identification speed and flux observation of the induction motor.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chongjun Su, Xin Den, Shanshan Huang, and Pengkun Xing "Parameter sensitivity of full-order flux observers for induction motors", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 1315954 (13 May 2024); https://doi.org/10.1117/12.3024407

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KEYWORDS

Magnetism

Resistance

Mathematical modeling

Inductance

Matrices

Angular velocity

Control systems

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