Neuro-genetic Sensorless Sliding Mode Control of a Permanent Magnet Synchronous Motor Using Leunberger Observer
نویسنده
چکیده
The principal aim of this paper is a study and improves of sensorless vector control (VC) of a permanent magnet synchronous motor (PMSM). We interested mainly of the Luemberger observer. This method is based on a representation of the state of the dynamic model of the motor. In order to optimize the performance of the drive system, the genetic algorithm is proposed as an intelligent technique applied to the system of the observer to determine the values of its matrix gains to improve its dynamic performance. In a first stage we describe the modeling of PMSM and the principle of VC with a sliding mode controller. In the second stage, we insert the Luenberger observer with genetic algorithm in vector control block of PMSM.
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