Abstract
This paper develops a precise proportional–integral (PI) type control system for repeatable tracking control of a permanent magnet synchronous motor (PMSM) under motor parameter and load torque variations. By adding a very simple learning feedforward term, a conventional PI control system can be enforced to have a perfect tracking performance under model parameter and load torque variations. The convergence and stability of the closed-loop control system response are analytically shown. Finally, the simulation and experimental results are given to verify the effectiveness of the proposed PI-type learning control law under the uncertainties such as motor parameter and load torque variations using a prototype PMSM drive system.
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Acknowledgments
This work was supported by the National Research Foundation of Korea (NRF) Grant funded by the Korea government (MSIP) (No. 2014R1A2A1A11049543).
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Choi, H.H., Kim, E.K., Yu, D.Y. et al. Precise PI speed control of permanent magnet synchronous motor with a simple learning feedforward compensation. Electr Eng 99, 133–139 (2017). https://doi.org/10.1007/s00202-016-0407-0
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DOI: https://doi.org/10.1007/s00202-016-0407-0