This paper presents the design of a dual controlled (manual as well as autopilot) Deployable Low Cost Outdoor Surveillance system. This model provides situational awareness by obtaining realtime information in outdoor applications. The aircraft is designed to have wingspan of less than 6 feet capable of carrying autopilot system and useful payload. This highly autonomous flight control system h...

This paper depicts the applications of classical root locus based PID control to the longitudinal flight dynamics of a Flying Wing Unmanned Aerial Vehicle, P15035, developed by Monash Aerobotics Research Group in the Department of Electrical and Computer Systems Engineering, Monash University, VIC, Australia. The challenge associated with our UAV is related to the fact that all of its motions a...

– A flight path rate demand modified three-loop lateral missile autopilot design methodology for a class of guided missile, based on state feedback, output feedback, reduced order Das & Ghosal observer (DGO) and Linear Quadratic Regulator (LQR), is proposed. The open loop undamped model of three-loop autopilot has been stabilized by using pole placement and state feedback. The non-minimum phase...

Due to their potential for reducing the weapon size and efficiency, design methods for realizing hitto-kill capabilities in missile systems are of significant research interest in the missile flight control community. As defined in this paper, hit-tokill capability requires the missile to consistently achieve point-mass miss distances less than half the minimum dimension of the target. It has b...

In this paper we present a centralised flightby-wire system based on μ-synthesis approach to the longitudinal flight motion of our experimental flying wing unmanned aerial vehicle (UAV), P15035 aircraft. The challenge associated with our UAV is related to the fact that all motions of our UAV are controlled by two independently-actuated-ailerons, together with its throttle. The first reason for ...

A tail-sitter aircraft’s control is a challenging task, especially during transition maneuvers where the lift and drag forces are highly non-linear. In this work, we implement neural network (NN) capable to estimate such nonlinearities. Once they estimated, one can propose scheme these correctly feed-forwarded. Our NN implementation has been programmed in C++ within PX4 Autopilot, an open-sourc...

This chapter describes a continuing research on design and verification of the autopilot system for an unmanned aerial vehicle (UAV) through hardware-in-the-loop (HIL) simulation. UAVs have the characteristics of small volume, light weight, low cost in manufacture, high agility and high maneuverability without the restriction of human body physical loading. Equipped with the on-board autopilot ...

Effective design of autopilots for fixed-wing unmanned aerial vehicles (UAVs) is still a great challenge, due to unmodeled effects and uncertainties that these exhibit during flight. Unmodeled comprise longitudinal/lateral cross-couplings, as well poor knowledge equilibrium points (trimming points) the UAV dynamics. The main contribution this article new adaptive autopilot design, based on unce...

A new autopilot design for bank-to-turn (BTT) missiles is presented. In the design of autopilot, a ridge Gaussian neural network with local learning capability and fewer tuning parameters than Gaussian neural networks is proposed to model the controlled nonlinear systems. We prove that the proposed ridge Gaussian neural network, which can be a universal approximator, equals the expansions of ro...