An Extended Kalman Filter Algorithm for a PMSM: Experimental Results

Asseu, Olivier; Yoboue, P.; Konaté, Adama; Diaby, Mouhamadou

doi:10.3923/ajaps.2017.32.38

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…So inertial rotor speed is expressed in equation (12). After the modification, the actuator's dynamics appear in 1st order, as represented in equation (13).…”

Section: Pmsm Modelingmentioning

confidence: 99%

An efficient Feed-forward compensation mechanism for NFC-based PMSM system using different observers for Load-torque estimation

Thampi

2023

IJEER

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Permanent magnet synchronous motor (PMSM) offers high torque and efficiency and is used in most industrial applications. This manuscript uses a feed-forward compensation mechanism to design an efficient neuro-fuzzy logic controller (NFC) based surface-mounted PMSM system. The different load-observers like Discrete Luenberger Observer (DLO), Kalman filter observer (KFO), and discrete Kalman filter observer (DKFO) are used as a feed-forward compensation method to compensate the dq stator current and also estimate performance metrics. The NFC is used as a speed controller, and two PI controllers are used for the current control mechanism. The noise is added at the actual load torque and speed of PMSM and compensated using load observers. In this work, two different design scenarios are considered to analyze the performance metrics like load torque, speed, and position. The work also explores the average error that occurred at load torque, speed, and position during estimation. The NFC-based PMSM system improves the performance and utilizes less error over the PI/FLC-based PMSM using different observers.

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“…So inertial rotor speed is expressed in equation (12). After the modification, the actuator's dynamics appear in 1st order, as represented in equation (13).…”

Section: Pmsm Modelingmentioning

confidence: 99%

An efficient Feed-forward compensation mechanism for NFC-based PMSM system using different observers for Load-torque estimation

Thampi

2023

IJEER

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“…Other than that, the estimation also can be done by using Sliding Mode Observer [17][18][19]. Lastly, the Extended Kalman Filter (EKF), is also one of the methods that researchers used in estimation for speed drives [21][22][23]. This current project chooses the estimation method using EKF as it is perfectly suited to solve the noise reduction, robustness and linear problem as these problems usually appeared in conventional estimators for sensorless PMSM drives.…”

Section: Introductionmentioning

confidence: 99%

Speed Sensorless Control for PMSM Drives Using Extended Kalman Filter

et al. 2021

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In this paper, Sensorless Permanent Magnet Synchronous Motor (PMSM) using Extended Kalman Filter (EKF) is presented. The previous PMSM drive uses a sensor to measure the motor’s speed. Then the idea is to replace the sensor by using sensorless drives based on the observer. For the conventional observer, it’s only good for low current and low-speed applications. Moreover, it is hard to detect the phase voltage due to the non-existence of neutral wire. Therefore, this project proposes sensorless control using an EKF. This method provides an optional estimation algorithm for the non-linear system that can produce a fast and accurate estimation of state variables. The accurate estimation will reduce the noise and ripple of the system. Additionally, the EKF do not require the information of mechanical parameters and the initial position of the rotor, making the construction is easy and simple. In this paper, the fundamental of the EKF algorithm is explained and the simulation results for different speeds and loads are presented. The noise reduction test is also conducted to measure the flux current with and without the filter. The simulation study is achieved using MATLAB/Simulink to verify the effectiveness of the proposed method. The results of the simulation show that the sensorless PMSM drives using EKF have lower overshoot and faster rise time during start-up conditions and have lower undershoot during the loaded condition. It also can be concluded that the proposed sensorless PMSM drive using EKF has good speed control accuracy and can reduce the current noise.

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