Speed Control OF Permanent Magnet Dc Motor Using Artificial Neural Network

The speed control DC motor by using artificial intelligent controllers which is an artificial neural network (ANN). Intelligent controllers have gained wide popularity in the application of control systems including DC motor speed control. The type of motor used in this project is a Permanent magnet DC motor. DC chopper is used to control the speed of the DC motor by controlling the armature voltage of the motor. The switching of the DC chopper is controlled by using the pulse width modulation (PWM) technique.

The development of high-performance motor drives is very important in industrial applications. Generally, a high-performance motor drive system must have good dynamic speed command tracking and load regulating response. Direct current motor drives have been widely used where accurate speed control is required. Direct current DC motors have been widely utilized in many industrial applications such as electric vehicles, steel rolling mills, electric crank, and robotic manipulators due to precise, wide, simple, and continuous control characteristics.

A neural control scheme consists of two parts. One is the neural identifier which is used to estimate the motor speed. The other is the neural controller which is used to generate a control signal for a converter. These two neural networks are trained by LevenbergMarquardt back-propagation algorithm. ANNs used in this are the standard three layers feedforward neural network with sigmoid activation functions in the input and hidden layers while linear activation function is employed for the output layer.