Hybrid controller based on intelligent speed synchronization induction motor for the four wheel drive of electric car

This paper describes the use of two dual induction motors as the driving electric cars for both the front and rear wheels. The two motors do not only have a synchronous speed used simultaneously but also support torque to drive this car. So modeling a three-phase induction motor is developed by employing a simulated motor speed control system using fuzzy controller. Then a test is conducted to the simulated motor speed rotation that has been designed with a fuzzy controller. After that the second electric motor rotation is also simulated at the front wheels and rear wheels of the car. To view the synchronization speed of the two motors synchronization, a test is performed to the two motor speeds. Two speed motor coordination systems for synchronization are controlled by using a Neural Network controller. The synchronization for the transient response is performed by the learning process on Neural Network with back-propagation method to get the weighted value for the different speeds. The simulation results are taken from the coordination model, and then the running simulation system is also performed to get an overview of the system output. The simulation shows that, after coordination with each system motor, the results of speed control are obtained with a small error value although the various amount of nominal disturbance load is changed.