IMPROVING THE PRECISION OF ELECTRO-PNEUMATIC ACTUATOR BASED ROBOTIC BOTTLE CAPPER USING ADAPTIVE MODEL PREDICTIVE CONTROL

This paper on improving the precision of electro-pneumatic actuator based robotic bottle capper using Adaptive Model Predictive Control is focused on solving the frictional force challenges that are encountered in an automated bottle capping machine. To actualize this task, the pneumatic actuator systems, pneumatic actuator control systems like programmable logic controllers, model predictive control, adaptive model predictive control techniques, and several research works which adopted these techniques for improving the precision of the robotic bottle capper were reviewed. In this paper, the adaptive model predictive control technique was proposed to improve the system because of its ability to continually update and redesign its model predictive control strategy before a new control action is applied. The result of this study shows that the adaptive model predictive control technique has the highest performance accuracy of 94.30% when compared with other techniques.