Relative Array Analysis of Visual Servo System

Feedback data from the environment regulate the control systems in characterization and decision making in the applications of robotics and automation in industries. Machine vision being non-touching in nature, provides useful information about the targets and surroundings, catering to a variety of applications. Closed loop robotic applications find visual servoing as a potent and efficient tool interactions with the environment. This paper aims at developing a process control-like model for visual servoing. The inherent drawbacks of image based visual servoing can be explained with variable interaction and Relative Gain Array (RGA) is a useful tool for evaluating the system.