Efficiency Optimization Control System with Adaptive Fuzzy Neural Network Controller

摘要

the present invention is a control system efficiency optimization, adaptive fuzzy controller (AFC) and Fuzzy Neural Network (FNN) controller is connected in parallel to speed is made and you want to set the reference speed ( ) and the actual speed of the motor () command torque ( takesasinputtheerrorratenecessaryforthecontrolofthemotorofthe ) the output adaptive fuzzy neural network (a-FNN) to the controller, the actual electric motor is input to the a-FNN controller speed () to measure the speed meter, the a-FNN controller from the torque command () receiving an input from the speed meter of real speed ( ) for receiving the minimum loss of the whole of the control system calculates the optimum magnetic flux component command reference current to current ( ) and torque current component command ( ) to output controller optimized efficiency, the efficiency the magnetic flux component current instruction ( ) and torque current component command from a controller optimization ( ), the magnetic flux component command of core loss is compensated by receiving current () and torque current component command ( ). Therefore, controlling the electric motor at optimum efficiency, at the same time it can improve the performance of the motor speed control.