Design and Development of an Intelligent Unmanned Aerial Vehicle multicoptor with High Level Cognition Tracking and Obstacle Detection

Abstract

At present time, Designing of unmanned systems with multi rotor configuration can be designed according to various aircraft sizing and designing techniques, but the design of multi-rotor vehicles is still on Scale model based and there are many conventional designs of hexarotor, where there is unevenness for sizing of hexarotor. This present work has given a novel compact design of hexarotor, which provides a better performance and flow parameters than conventional type of hexarotor for various atmospheric conditions such as wind and gusts. This innovative duct type design supports the propeller from external objects as well as it assist the thrust which provides maximum efficiency. It also houses special pores on the surface of duct which provides the reduction in noise. In this work the design is validated by some experimental analysis such as wind tunnel and CFD analysis of many structural components was performed. The Structure of Multicopter was made of unique Fiber metal laminate which provides maximum load bearing capacity. Also propulsion system design was carried out both computational and experimentally with most validated results. Also the current era was the era of artificial intelligence so the present work concentrates on the implementation of the Artificial Intelligence techniques for the newly design multicopter obstacle detection and navigation in an uncertain environment. The obstacle avoidance and optimal path planning is the key issue in autonomous navigation, which is solved in the present work by using artificial intelligent approaches. The method used for obstacle detection is by using Firefly algorithm controller which provides an effective solution for obstacle detection and multiple navigation for both static and dynamic environments. This Firefly algorithm is hybrid with probably fuzzy logic (PFL) and matrix based genetic algorithm (MGA) and obtained hybrid algorithm for multicopter navigation controller for obstacle detection and path planning.This is simulated in MATLAB software and compare with real time experimental setup. The developed unmanned system (Multicopter) gives a unique design with efficient high level cognition, tracking and obstacle detection facilities. newline