Dependable CNC Controller using Raspberry pi and Cloud Computing

Abstract

Numerically Controlled machines are widely used in many industrial applications. A CNC machine's essential element is the controller, and it is responsible for controlling and navigating the machine tools as well as implementing industrial processes. Despite the fact that numerous controllers have been invented and utilized in CNC applications in recent years, the vast majority of them have certain restrictions and drawbacks as a result of design methodologies. The goal of this article is to design and build a Fault detector and Diagnostic Automatic Controller (FDAC) to be used in CNC machines and is considerably improve the CNC machines performance. FDAC has a closed-loop control system that can automatically control and drive servo motors. FDAC will prevent losses of work pieces and damage of machine parts. FDAC could improve accuracy and reliability while enabling the rapid maintenance of industrial processes in a variety of CNC applications. FDAC records the alarm codes in real time on the cloud as well as their diagnostic history in order to build an accurate knowledge and reliability base system that does not depend on randomness or predictions. It also can be applied to traditional machines and is not expensive at all.