Simulation and real-time design of intelligent control of DC motor

Fuzzy Logic Control has emerged as one of the most active areas of research. A fuzzy logic control algorithm for industrial processes expresses the intuition and experience of an operator in linguistic control rules and converts them in to control strategy [1]. Therefore fuzzy logic can be applied to control complex nonlinear systems with unknown or unmodeled dynamics [2]-[4]. This thesis considers the application of a fuzzy logic based control to a do motor. Two fuzzy controllers are proposed for the system, namely, speed and current controllers. The fuzzy control laws are developed to regulate the motor speed and maintain the current at a limiting value. Simulation study of the fuzzy controlled drive system has been carried out in simulink to validate the proposed controllers. The do servomotor used here is simulink model of the actual 42V, 2-pole lab kit do motor. Simulation is performed on the simulink model of the dc motor. Dc motors are used extensively in many applications that require high starting torque such as cranes hoists, electric traction, etc. [11]. In order to control the speed of such drive system while maintaining the current at a limiting value, a fuzzy proportional plus integral speed and current controllers are designed. Simulink and dSPACE software packages make real time implementation of controllers on real time devices like motors easy. The performance and optimal operation of devices can be easily studied and evaluated. Using dSPACE software and DS 1104 control board the simulink model of the do motor is replaced with the actual motor for the real time implementation. The ultimate goal is to control the real time do motor using the controllers designed.