Abstract
The permanent magnet linear synchronous motor (PMLSM) with segmented stator is applied in the long-distance auto-transportation system. For the PMLSM with the discontinuous stators, the mismatch between the permanent magnet (PM) mover and the stator would make electromagnetic (EM) parameters deflect nominal values, and then position/speed precision of the PM mover would be affected. In this article, the sensorless control based on the parameter calibration is used to drive the PM mover above the segmented stators during the drive process. Furthermore, an improved model reference adaptive integrator based on the parameter calibration is proposed to calibrate the EM parameters during the switch process. The simulation and experimental results confirm that the speed precision and the robustness of the segmented PMLSM are enhanced distinctly.
Highlights
The auto-transportation system is widely used in factory automation because of its advantages on fast response speed and great capacity
An online parameter identification method was proposed for the segmented permanent magnet linear synchronous motor (PMLSM) based on the real-time back electromotive force (EMF) voltages and the speed of the permanent magnet (PM) mover, and it could quickly calibrate the flux linkages and the synchronous inductance before the PM mover entirely coincides with the stator part [28], so the EM parameters could be regulated in the sensorless control of the segmented PMLSM after the parameter calibration
The EM parameters of the segmented PMLSM would be updated by the parameter calibration in FIGURE 5, and the sensorless control would be applied to the speed control of the PM mover when it entirely coincides with the stator during the drive process
Summary
The auto-transportation system is widely used in factory automation because of its advantages on fast response speed and great capacity. An adaptive parameter identification algorithm based on an improved cooperative particle swarm optimization was used for the parameter identification [27] It was not suitable for the segmented PMLSM used in the long-distance auto-transportation system because of the high complexity and the extensive calculation. An online parameter identification method was proposed for the segmented PMLSM based on the real-time back EMF voltages and the speed of the PM mover, and it could quickly calibrate the flux linkages and the synchronous inductance before the PM mover entirely coincides with the stator part [28], so the EM parameters could be regulated in the sensorless control of the segmented PMLSM after the parameter calibration.
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