Design, control and implementation of a moving object target tracking using image processing

This paper presents the design and construction of a laboratory model for tracking a moving target object using image processing. The aerial robot is used as a follower and the ground robot is used as a target object. A one-degree-of-freedom robot is used instead of an aerial robot, and a moving mobile robot is used as a ground robot to move at different speeds. The distance error between the ground robot and the aerial robot is calculated using image processing and fed back to the aerial robot controller. The dynamic model is used to design the position controller. PID, PID-fuzzy controllers, and optimal linear integral control are designed using a dynamic model, and simulation is performed in MATLAB software. Using simulation to evaluate the performance of three controllers has been designed. The controller is selected using 4 criteria. The performance of the proposed controller is evaluated by implementing the controller on a laboratory model. The aerial robot controller for real-time tracking of the target object and the object of sight is not out air Robot. The novelty of this paper is the design of an inexpensive laboratory model for the real-time implementation of moving a target object with a moving tracker.