This paper proposes a method for estimating the mechanical parameters of a Permanent Magnet Synchronous Motor (PMSM) using the Forgetting Factor Recursive Least Squares (RLS) algorithm. The estimated parameters are used to perform adaptive feedforward control actions, as the mechanical parameters of a PMSM tend to change with varying loads and speed. The simulation of the proposed technique is carried out using MATLAB/Simulink® under different conditions. The results demonstrate the accuracy of the technique in estimating the mechanical parameters and enhancing the performance of the drive. The proposed technique offers a promising solution to control PMSMs under dynamic conditions and can be useful in various industrial applications. The methodology, simulation setup, and results are presented in this paper.
Peter N., Maniam N., Mudaliar H., Cirrincione M., Prasad R., Chand S., et al. (2023). Adaptive Field-Oriented Control of Permanent Magnet Synchronous Motor Using Feedfoward Actions. In Proceedings of the 2023 IEEE International Conference on Advanced Systems and Emergent Technologies, IC_ASET 2023 (pp. 01-06). Institute of Electrical and Electronics Engineers Inc. [10.1109/IC_ASET58101.2023.10150634].
Adaptive Field-Oriented Control of Permanent Magnet Synchronous Motor Using Feedfoward Actions
Fagiolini A.
2023-01-01
Abstract
This paper proposes a method for estimating the mechanical parameters of a Permanent Magnet Synchronous Motor (PMSM) using the Forgetting Factor Recursive Least Squares (RLS) algorithm. The estimated parameters are used to perform adaptive feedforward control actions, as the mechanical parameters of a PMSM tend to change with varying loads and speed. The simulation of the proposed technique is carried out using MATLAB/Simulink® under different conditions. The results demonstrate the accuracy of the technique in estimating the mechanical parameters and enhancing the performance of the drive. The proposed technique offers a promising solution to control PMSMs under dynamic conditions and can be useful in various industrial applications. The methodology, simulation setup, and results are presented in this paper.
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