Design of an Intelligent Controller of a Self-Tuned Quadcopter for IoT-Based Application on COVID Infected Area Sanitization

Abstract

The COVID-19 outbreak has created a major global health crisis that has had an impact on the actions we perform. The only solution to the problem is getting sanitized and maintaining social distancing. Keeping all these in mind, an IoT-based application is an alternative to this problem. IoT-based location fixation and sanitization through a quadcopter is proposed. This work proposes the control design of a quad-copter UAV that helps to sanitize a COVID-19 containment zone based on latitude and longitude of the specific area. Stability is one of the important parameters in automatic control. The stable control of a quadcopter is an important issue for sanitization. There are two aspects of the design. First is the control of the movements of the quadcopter using an interval type 2 fuzzy-logic-based PID controller; second is the control of drop location of the quadcopter. The location data is fed to the telemetry of the quadcopter UAV through a COVID-19 drone Android application. To achieve balanced and stable performance of a quadcopter UAV with a center of gravity, variables are well managed. Both the controls used are based on interval type 2 fuzzy logic because of its ability to emulate the footprint of uncertainty and higher accuracy in nonlinear dynamic systems. Further, the work can be carried out for several applications in the field of medicine.