PROJECT TITLE :

Implementation of a predictive controller for a sensorless interior permanent-magnet synchronous motor drive system

ABSTRACT :

This study proposes a predictive controller style for a sensorless interior permanent-magnet synchronous motor drive system. The controllers include a current-loop predictive controller and a speed loop predictive controller with an external load estimator. Yet, a rotor position estimator with on-line tuning stator resistance and q-axis inductance has been designed to reduce the estimating error. By using the proposed management algorithms, the closed-loop sensorless interior permanent-magnet synchronous motor drive system can achieve quick transient response, satisfactory load disturbance response and good tracking response. A digital signal processor, TMS320F2812, is employed to perform the rotor position estimating algorithm and therefore the predictive control algorithm. Thus, the hardware is terribly straightforward. The experimental results will validate the theoretical analysis and show that the predictive controllers have higher performance than the proportional integral (PI) controllers.


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