Abstract

In this paper, we present dynamic modelling and stability analysis of a generic UAV in the glide phase under engine failure condition. When such extreme phenomena occurs, the most desirable requirement is to survive that stage by keeping the vehicle controllable by maintaining its orientation and to glide the vehicle towards the intended direction with maximum extended range. This study investigates the stability aspects of one such aerial vehicle under engine failure condition. In the proposed architecture, a six degree of freedom vehicle dynamic simulation model is implemented through a set of coupled non-linear differential equations. The aerodynamic forces and moments encountered by the UAV during various phases of the flight are ascertained through empirical / non-empirical techniques. Non-linear constrained optimization technique is employed to evaluate the steady state values of the optimized trajectory for the complete flight regime. Results from dynamical systems theory are applied to investigate local stability characteristics of UAV around the steady state. Complete set of dynamic modes of UAV throughout the glide phase are evaluated and mode content in each of the motion variable is determined using modal decomposition technique. The dynamic characteristics of the open-loop configuration are assessed to generate adequate benchmark performance for closed-loop controller design

Highlights

  • Distant base station in case of engine failure

  • A 6-DOF vehicle modeling is performed through a set of highly coupled non-linear differential equations [6]

  • System stability aspects were than evaluated to determine the possibility of designing a suitable control architecture which can keep the system stabilize and ensure that the Unmanned Air Vehicles (UAV) follows the optimized trajectory under engine failure condition

Read more

Summary

Introduction

Distant base station in case of engine failure. In this proposed architecture, a 6-DOF vehicle modeling is performed through a set of highly coupled non-linear differential equations [6]. Non-linear constrained optimization technique is employed to evaluate the steady state values of the optimized trajectory for the complete flight regime to ensure vehicle movement at an optimum path. Eigen value analysis of the linearized system was than performed to determine the response of the open loop system under stated problem. System stability aspects were than evaluated to determine the possibility of designing a suitable control architecture which can keep the system stabilize and ensure that the UAV follows the optimized trajectory under engine failure condition

UAV Flight Dynamics Model
UAV Equation of Motion
Aerodynamic Parameters Estimation
Generation of Optimized Velocity Profile
Trajectory Optimization
Open Loop Analysis
Open Loop System Response
Stability Analysis
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call