The fuzzy sliding mode control based on the multi-objective genetic algorithm is proposed to design an altitude autopilot of UAV. This case presents an interesting challenge due to the non-minimum phase characteristic, nonlinearities and uncertainties of the altitude to elevator relation. The responses of this autopilot are investigated through various criteria such as, the time response charac...

In this paper, an efficient strategy is proposed to design the altitude holdmode autopilot for a UAVwhich is non-minimum phase, and its model includes both parametric uncertainties and unmodeled nonlinear dynamics. This work has been motivated by the challenge of developing and implementing an autopilot that is robust with respect to these uncertainties. By combination of classic controller as ...

ISSN 2277 5064 | © 2013 Bonfring Abstract--Complexity in autopilot logic design and confusion involved in its mode transition is one of the major reasons for the accidents in highly automated airliner. In this paper we present the usage of a recently proposed array logic based technique for designing the autopilot mode transition logic for a commercial aircraft in the lateral direction. This de...

A robust adaptive autopilot for uninhabited surface vehicles (USV) based on a model predictive controller (MPC) is presented in this paper. The novel autopilot is capable of handling sudden changes in system dynamics. In real life situations, very often a sudden change in dynamics results in missions being aborted and the uninhabited vehicles have to be rescued before they cause damage to other...

SUMMARY A stable minimum phase transfer function from rudder angle to yaw angle is used to design a globally convergent adaptive ship autopilot. 1st-order wave disturbances in yaw are ltered by applying a notch lter. Integral action is introduced by augmenting the plant. Global convergence is proven for the total system which include the observer, the parameter update law, the feedback controll...

Autonomous navigation for Unmanned Air Vehicles (UAVs) is challenging because the instruments used for sensing which are carried on-board should have very less dimensions, weight and power constraints. The developed autopilot navigation system should be robust against any real-world conditions and calculate the performance in any field tests. A GPS module is used that combines a baseband signal...

The application of a new nonlinear robust control strategy to the design of missile autopilots is presented. The control approach described and demonstrated here is based upon the numerical solution of the Hamilton-Jacobi-Isaacs equation by Successive Galerkin Approximation. Using this approach, feedback controllers are computed by an iterative application of a numerical Galerkin-type PDE solve...

This paper proposes a method to obtain a discrete-time LPV (Linear Parameter Varying) controller for a non-linear system represented with the LFT (Linear Fractional Transformation) framework. This synthesis can be integrated into a loop-shaping/LPV approach to obtain a discrete gain-scheduled control law. A detailed application of this method is here performed with a classical example of non-li...

Autopilot is a system designed to guide a vehicle without aid. Due to increase in flight hours and complexity of modern day flight it has become imperative to equip the aircrafts with autopilot. Thus reliability and consistency of an Autopilot system becomes a crucial role in a flight. But the increased complexity and demand for better accuracy has made the process of evaluating the autopilot f...