Autonomous control of multiple quadrotors for collision‐free navigation

Author:

Raj Jai1ORCID,Raghuwaiya Krishna2ORCID,Havea Robin1ORCID,Vanualailai Jito1ORCID

Affiliation:

1. School of Information Technology Engineering, Mathematics and Physics The University of the South Pacific, Laucala Campus Suva Fiji

2. School of Pacific Arts Communication and Education The University of the South Pacific, Laucala Campus Suva Fiji

Abstract

AbstractThis paper addresses the development of a set of novel autonomous control laws for the navigation of multiple mini or micro quadrotors in a workspace populated with cylindrical obstacles. To the authors' knowledge, this is the first time that such a set of control inputs for the autonomous control of multiple quadrotors and avoidance of cylindrical obstacles is being derived from a single Lyapunov function. The avoidance of the cylindrical obstacles is achieved via a Minimum Distance Technique that allows a quadrotor to avoid the closest point on the curved surface of a cylinder at every unit time. In addition, the novel controllers ensure a near‐to‐horizontal orientation of a quadrotor at every unit time and the hovering motion exhibited by the quadrotor in a neighborhood of its target. The hovering capability has been solved completely in this paper by solving the underactuatedness of the quadrotor which allows for the design of the maximum translational velocities needed for vertical take‐off and landing, and hovering. This is important in applications where payloads are sensitive to acrobatic orientations. Computer simulations that mimic real‐life scenarios using cylindrical towers as obstacles in a city‐like environment illustrates the effectiveness of the controllers.

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

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