Position Sensorless Control Based on Augmented Extended Kalman Filter for Permanent Magnet Linear Synchronous Motor

Hua Cai Lu; Ming Jiang; Li Sheng Wei; Bing You Liu

doi:10.4028/www.scientific.net/AMM.88-89.350

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 88-89Position Sensorless Control Based on Augmented...

Position Sensorless Control Based on Augmented Extended Kalman Filter for Permanent Magnet Linear Synchronous Motor

Abstract:

In order to achieve position sensorless control for PMLSM drive system, speed and position of the motor must be estimated. A novel sensorless position and speed estimation algorithm was designed for PMLSM drive by measuring terminal voltages and currents. That was state augmented extended Kalman filter (AEKF) estimation method. The resistance of the motor was augmented to the state variable. Then, the speed, position and the resistance were estimated simultaneously through extended Kalman filter (EKF). The influence of the resistance on the state estimation results could be reduced. As well as giving a detailed explanation of the new algorithm, experimental results were presented. It shows that the AEKF is capable of estimating system states accurately and reliability, and the proposed sensorless control system has a good dynamic response.

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Periodical:

Applied Mechanics and Materials (Volumes 88-89)

Pages:

350-354

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.88-89.350

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Online since:

August 2011

Authors:

Hua Cai Lu, Ming Jiang, Li Sheng Wei, Bing You Liu

Keywords:

Augmented Extended Kalman Filter (AEKF), Permanent Magnet Linear Synchronous Motor (PMLSM), Position Sensorless Control

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References

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