چكيده به لاتين
In this thesis to improve the performance of permanent magnet synchronous motor, speed controller is designed to fuzzy method. Almost proportional-integral control method used to control of these machines that is incomplete and not very accurate. Proportional-integral controller sensitive to changes in speed, load disturbance, changes in parameters and no adjustment is online. But using fuzzy controller can be online controlled the motor. Ability to control and rapid change speed permanent magnet synchronous motors and allows access to a wide range of variable speed performance, has caused several control methods for optimal control of permanent magnet motors in order to come optimal use of the advantages inherent. Intelligent control techniques such as fuzzy control has received less attention in the past, which is now the trend is growing. In this thesis, a fuzzy controller is designed for exact speed control and in order to maximize efficiency in steady state, the fuzzy control to minimize power losses of motor and achieve higher productivity by reducing the flux is used. And also in order to the motor exact tracking reference speed and launch current reduce in transient state another fuzzy logic controller in order to increase the flux based on the speed error and its derivatives have been used. As well as a torque compensation algorithm to reduce the torque and speed are introduced. And the model reference adaptive system for estimating and sensorless fuzzy control to improve efficiency is used. And finally fuzzy controller performance for changes in motor reference speed and load changes using simulation is investigated. The results show that this method compared to conventional control methods drives, together with exact speed control, improved efficiency and reduced torque fluctuations.
