Efficiency Optimization Control System with Adaptive Fuzzy Neural Network Controller

摘要

The invention provides a system efficiency optimizing control, adaptive fuzzy controller (AFC) and the fuzzy neural network (FNN) controller is made is connected in parallel instruction set by the user to a desired speed rate ( ) and the actual speed of the motor () to receive an input error of the motor speed control to the required torque command () the output adaptive fuzzy neural network (a-FNN) to the controller, the actual electric motor is input to the a-FNN controller speed ( ) the velocity meter, from the a-FNN controller receiving input of the torque command ( ) from the actual rate meter speed () accepts the input of the control system the minimum overall loss in 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 () receives the input core loss is compensated magnetic flux component current instruction () 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.