Abstract
The paper presents an application of the genetic algorithm for parameter findings in the control structure of the A.C. drive with the vector controlled modeling. The mathematical model of DFOC control of the induction motor with the speed controller is described in the first section. The second part presents the PI-Adaptive model for estimating rotor time constant (T r ), the third is the GA-Adaptive online model combining genetic and adaptive algorithms to estimate rotor time constant, Simulative results in the Matlab-Simulink environment indicate that the value and responsiveness of the T r of GA-Adaptive model are better than PI-Adaptive when the T r values change during operation.
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Acknowledgement
The paper was supported by the projects: Center for Intelligent Drives and Advanced Machine Control (CIDAM) project, reg. no. TE02000103 funded by the Technology Agency of the Czech Republic, project reg. no. SP2017/104 funded by the Student Grant Competition of VSB-Technical University of Ostrava.
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Tran, T.C., Brandstetter, P., Duy, V.H., Vo, H.H., Tran, C.D., Ho, S.D. (2018). Rotor Time Constant Estimation of Induction Motor Using Online PI-Adaptive and GA-Adaptive Model. In: Duy, V., Dao, T., Zelinka, I., Kim, S., Phuong, T. (eds) AETA 2017 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application. AETA 2017. Lecture Notes in Electrical Engineering, vol 465. Springer, Cham. https://doi.org/10.1007/978-3-319-69814-4_83
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