Simplified fuzzy logic based MTPA speed control of IPMSM drive

Abstract

This paper presents a simplified fuzzy logic based speed controller of an interior permanent synchronous motor (IPMSM) drive for maximum torque per ampere (MTPA) of stator current with inherent nonlinearities of the motor. The fundamentals of fuzzy logic algorithms as related to motor control applications are illustrated. A simplified fuzzy speed controller for the IPMSM drive has been found to maintain high performance standards with a much simpler and less computation intensive implementation than a nonsimplified fuzzy based algorithm.Contrary to the conventional control of IPMSM with d-axis current equal to zero, a non-linear expression of d-axis current has been derived and subsequently incorporated in the control algorithm for maximum torque operation. The efficacy of the proposed simplified fuzzy logic controller based IPMSM drive with MTPA is verified by simulation as well as experimentally at dynamic operating conditions. The simplified FLC with MTPA is found to be robust for application in the IPMSM drive. The complete vector control scheme is implemented in real-time using a digital signal processor (DSP) controller board DS 1102 in a laboratory 1 hp interior permanent magnet synchronous motor.

Simplified fuzzy logic based flux weakening speed control of IPMSM drive

“…IPMSM has a mechanically robust rotor construction, a rotor saliency, and the low effective air gap. These features permit control of the machine not only in constant torque region but also in constant power region up to a high speed by means of flux weakening [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15].…”

Adaptive Backstepping Based MTPA Sensorless Control of PM-Assisted SynRM with Fully Uncertain Parameters

“…The --axis reference currents predetermined through offline method are a good solution. One of the representative offline methods is look-up table method [11], which is easy to execute but adds burden to store and requires extra offline effort [12]. Additionally, conventional MTPA control relies heavily on precise modeling parameters.…”

Neural network approach on loss minimization control of a PMSM with core resistance estimation

“…Smart systems have appeared in every field. The authors of [33,34] based the minimum loss control of a PMSM on a fuzzy logic controller. In these studies, Serga et al [33] implemented a FW method using a fuzzy logic controller that they designed, and Butt et al [34] designed a fuzzy logic controller to implement the MTPA method to the motor.…”

“…The authors of [33,34] based the minimum loss control of a PMSM on a fuzzy logic controller. In these studies, Serga et al [33] implemented a FW method using a fuzzy logic controller that they designed, and Butt et al [34] designed a fuzzy logic controller to implement the MTPA method to the motor. Even if studies with a fuzzy logic controller may seem to be sparing researchers from complicated calculations, the creation of tables and membership functions of the controller constitute a challenge, which is completely dependent on experience.…”