Publication

Abstract : In this paper, control system is designed to stabilize the camera gimbal system used in different air borne systems for applications such as target tracking, surveillance, aerial photography, autonomous navigation and so on. This camera gimbal system replaces many traditional tracking systems such as radar which are heavy and large to mount on air vehicles. So, the stabilization of camera gimbal is very important to eliminate shakes and vibrations in photography, provides accuracy in tracking moving target and so on. The control system for this gimbal is developed using various control methods and algorithms to provide better and efficient performance with flexibility, accuracy and feasibility. PID controller is designed to control camera gimbal due to its effectiveness, simplicity and feasibility. The tuning parameters of PID controller are tuned using traditional and evolutionary algorithms such as PSO and GA to provide better performance and accuracy in system response. PSO and GA are used due to its dynamic and static performance, computational efficiency and so on. In this paper, performance of system with conventional PID and PSO, GA tuned PID controllers are compared and optimized algorithm is implemented.