Implementation of neural network based PID controller

This paper proposes neural network based Proportional-Integral-Derivative (PID) controller for the purpose of position control in DC motor. The conventional PID controller is used in industries for control operation. But, it is difficult to regulate the parameters for the PID controller. An artificial neural network can be used for tuning the PID controller and is robust in design. The artificial neural network based controller allows both type of systems i.e. linear and nonlinear systems by training the network. Simulation is performed in MATLAB.