In this paper a course-keeping autopilot for a containership designed with fuzzy logic theory is presented. The autopilot control strategy is deduced heuristically by exploiting expert knowledge and is implemented by means of fuzzy logic. In order to facilitate analytical analysis of the closed loop system non-linear control theory is used to guide the choice of control structure. An interpreta...

this paper proposes a new method of gain scheduling control design for a nonlinear system which is described as linear parameter varying form. a performance measure based on linear matrix inequality is introduced. to consider stability and performance measures in design process, the h∞ loop-shaping method is used to design the local controllers, which can be described as state feedback observer...

–In this paper, first the transfer function and block diagram model of a flight path rate demand autopilot (two loop) in pitch plane has been shown and then its state model has been developed. Then state feedback controller has been designed. Thereafter both of Luenberger and Das & Ghosal Observers (DGO) are implemented for the above said two loop autopilot. Finally the system, observer and sta...

This thesis explores the use of velocity information obtained by a Global Positioning System (GPS) receiver to close the aircraft’s flight control loop. A novel framework to synthesize attitude information from GPS velocity vector measurements is discussed. The framework combines the benefits of high-quality GPS velocity measurements with a novel velocity vector based flight control paradigm to...

– A Roll Position demand (as well as Roll Position Control) missile autopilot design methodology for a class of guided missile, based on state feedback, Ackermann pole-placement and reduced order Das & Ghosal observer (DGO), is proposed. The open loop unstable model of the roll control (or roll position demand) autopilot has been stabilized by using pole placement and state feedback. The non-mi...

This paper describes a recently developed architecture for a Hardware-in-the-Loop simulator for Unmanned Aerial Vehicles. The principal idea is to use the advanced modeling capabilities of Simulink rather than hard-coded software as the flight dynamics simulating engine. By harnessing Simulink’s ability to precisely model virtually any dynamical system or phenomena this newly developed simulato...

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 objective of this article is to give an overview of autopilot software design for small and miniature unmanned air systems. An architecture that is typical of commercially available autopilots is described. A detailed explanation of the inner-loop control structure is described, including the lateral directional feedback loops and the longitudinal directional feedback loops. We give a brie...

In this paper, the authors tried to design the altitude hold mode autopilot for unmanned aerial vehicles. This case presents an interesting challenge attributable to the nonminimum phase characteristic, nonlinearities, and uncertainties of the altitude to elevator relationship. A fuzzy logic autopilot in a single-loop scheme is proposed for the design of this autopilot. The multiobjective genet...