Design and PIL test of extended Kalman filter for PMSM field oriented control
The Field-Oriented Control (FOC) of PMSM is discussed in this research, and the Extended Kalman Filter (EKF) is used to predict the feed back (speed). For the non-linear system, this approach offers an optional estimating strategy that can quickly and accurately estimate state variables. The industr...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123024010983 |
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| Summary: | The Field-Oriented Control (FOC) of PMSM is discussed in this research, and the Extended Kalman Filter (EKF) is used to predict the feed back (speed). For the non-linear system, this approach offers an optional estimating strategy that can quickly and accurately estimate state variables. The industry that uses this system is cheap cost as a result of the estimator since it does away with the costly encoder. Additionally, this paper describes how this control is implemented in the Texas Instruments TMS320F28379D, a low-cost dual-core card that is more efficient and needed in industry. The extended Kalman filter simulation results in Matlab/Simulink show that the EKF provides good speed estimate, and the actual experimentation with TMS320f28379d provides effective speed response due to the EKF and PMSM FOC control. Because of this, the EKF is suitable for many applications, including robotics and washing machines. It is particularly well-suited for use with this inexpensive card, TMS320F28379D. |
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| ISSN: | 2590-1230 |