State Space System Modeling of a Quad Copter UAV

Background/Objectives: To derive a linear mathematical modeling of a quad-copter Unmanned Aerial Vehicle (UAV). Methods/Statistical Analysis: The quad-copter physical system with different inputs and outputs has been represented in a state-space form. State space representation is a mathematical model of a physical system as a set of input, output and state variables related by first-order differential equations. "State space" is the space which has state variables as its axes. Vectors are used within state space to show the state of the system. Findings: The six Degrees Of Freedom (6DOF) quad copter state-space model is developed starting from basic Newtonian equations, which is very important to control the quad copter system. The system of quadcopter aerial vehicle is inherently dynamically unstable, which means that this study has found out the state-space modeling. Therefore, this study has enabled the successful modelling of the quadcopter system, which directly contributes to the stable flight of the unmanned aerial vehicle. Application/Improvements: Unmanned aerial reconnaissance, autonomous aerial flight.