Adaptive Velocity Control in AC Asynchronous Motor Based on Identification of Load Parameters by VMACO

A novel vector-moving ant colony optimization (VMACO) is proposed to identify two load parameters: inertia and load torque simultaneously, which affect the performance of velocity control for AC asynchronous motor. Ant moving is decomposed into X and Y directions, X for inertia, Y for load torque. Every point consists of possible estimations. Based on minimum variance principle, the pheromone model is established, characterized by that the closer the distance between the ant position and the virtual position determined by the actual values of inertia and load torque is, the more pheromone can be obtained. The position where ant colony gathers contains the optimal estimated results. Simulations and experimental results verify the algorithm.