Stability Analysis of Climbing Robots using Adaptive Intelligent Control System

Abstract

In recent years, there is a high rise in growth of design and development of newlinestability and adaptiveness for climbing robots. This research makes a strong newlinefoundation in almost all the application areas like cleaning, inspection, newlinetransportation and maintenance. The challenge of climbing robot development newlineis to operate in unreachable environments or hazardous fields where human newlineintervention is not advisable. Therefore, there is a growing need of developing newlineclimbing robot studies for adaptable applications with greater stability. Presently, climbing robots are designed with multiple mechanism for adhesion newlineand locomotion for its effect on stability and control of smooth traversing on newlinespecific surface. One of the most challenging tasks is to develop a proper newlineadhesion mechanism to ensure that the robot system sticks to wall surfaces newlinereliably without sacrificing mobility. Multiple researches with new technologies newlinehave evolved for the design and operation of climbing robots in challenging newlinefields. However, stability in the dynamically changing surface environment has newlinebeen often very limited due to the absence of adequate intelligent control and newlineadaptive concepts. To overcome such limitations, climbing robots should be newlineenabled with proper controllable adhesion mechanism such as suction based newlineabsorption technology. The aim of this study is to empower a climbing robot suitable for various newlineapplications with control in the dynamically changing surface environment. The newlinedeveloped suction-based adhesion and drive wheel mechanism provide a better newlinestability and robustness in terms of wireless adaptive control. This makes the newlineclimbing robot adaptable for various applications and requirements in newlineindustries. This climbing robot also ensures to maneuver on different surface newlineenvironments smoothly with adaptive intelligence in overcoming surface newlinedisturbances. The novelty of this study includes the design methodology in the newlineanalysis of suction pressure generated inside the suction chamber of climbing robot.