Abstract

The paper presents the position control of a permanent magnet synchronous motor by using the finite control set model predictive control. The position, speed and acceleration references are generated by a ramp generator. A new cost function, including feed-forward and load torque compensations, is introduced. In order to save the computational power, a combination of a predictive speed control with proportional position controller is explored as well. Presented methods are compared to the conventional field oriented control structure by a simulation. DOI: http://dx.doi.org/10.5755/j01.eie.22.6.17217

Highlights

  • The most of today’s industrial productions use robotic lines or robotic tools to increase the production rate and to secure the high precision in product assembling

  • The most of FCS Model predictive control (MPC) research is focused on the current control [11], torque control [12] or current control in combination with other controllers [13] or on the speed control of permanent magnet synchronous motor (PMSM) [14], [15]

  • The weighting factors w2, w3 and w4 in (17) for finite control set model predictive control (FCS-MPC) speed controller in combination with P controller are set to the same values, as the weighting factors for fully FCS-MPC based position control

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Summary

INTRODUCTION

The most of today’s industrial productions use robotic lines or robotic tools to increase the production rate and to secure the high precision in product assembling. The base of such industrial tool is often an electrical drive, which has to fulfil various demands. The most of FCS MPC research is focused on the current control [11], torque control [12] or current control in combination with other controllers [13] or on the speed control of PMSM [14], [15]. This paper deals with the FCS-MPC based position control of PMSM.

MATHEMATICAL MODEL OF PMSM
NOISE FILTERING AND LOAD TORQUE ESTIMATION
PRINCIPLE OF DESIGNED FCS MPC
State Prediction
Cost Function
Ramp Generator
Control Structure
SIMULATION RESULTS
CONCLUSIONS
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