Torque Optimization of a Synchronous Motor using a Genetic Algorithm

A synchronous motor belongs to the class of AC motors. It operates at a fixed speed termed as the synchronous speed, which depends on frequency of applied ac, and number of poles in the motor. Synchronous motors exhibit advantages in terms of precise speed regulation, power factor correction, and high efficiency. Some of the drawbacks associated with synchronous motors are high cost and complexity, and limited range of speed. Torque maximization in a synchronous motor has an instrumental role in improving its efficiency and performance. This maximization can be accomplished using various optimization algorithm viz. Pattern Search, Genetic Algorithm, Simulated Annealing etc. The two prime parameters on which the generated electromagnetic torque depends are the mechanical load and the field current. In the present work, the Genetic Algorithm (GA) is used for the maximization of torque. On the basis of available data, an objective function is formulated in terms of mechanical load and the field current. This objective function is minimized using Genetic Algorithm in MATLAB for maximizing the torque.