About: Autopilot is a research topic. Over the lifetime, 4269 publications have been published within this topic receiving 52161 citations. The topic is also known as: automatic pilot & aircraft autopilot.
Papers published on a yearly basis
01 Mar 1989
TL;DR: In this article, the authors present a mathematical review of Laplace transforms and matrix algebra for control system analysis techniques for aircraft Autopilot design and demonstrate the application of classic control theory to aircraft autopilot designs.
Abstract: 1Introduction 2 Static Stability and Control 3 Aircraft Equations of Motion 4 Longitudinal Motion (Stick Fixed) 5 Lateral Motion (Stick Fixed) 6 Aircraft Response to Control on Atmospheric Inputs 7 Automatic Control Theory-The Classical Approach 8 Application of Classic Control Theory to Aircraft Autopilot Design 9 Modern Control Theory 10 Applications of Modern Control Theory to Aircraft Autopilot Design Appendixes A Atmospheric Tables B Geometric, Mass, and Aerodynamic Characteristics of Selected Airplanes C Mathematical Review of Laplace Transforms and Matrix Algebra D Review of Control System Analysis Techniques
01 Jan 1965
TL;DR: Inertial cross-coupling is used in this article for lateral autopilots, and it is shown to be useful for self-adaptive auto-pilots.
Abstract: Longitudinal Dynamics. Longitudinal Autopilots. Lateral Dynamics. Lateral Autopilots. Inertial Cross-Coupling. Self-Adaptive Autopilots. Missile Control Systems. Guidance Systems. Integrated Flight/Fire Control System. Multivariable Control Systems. Structural Flexibility. Application of Statistical Design Principles. Pilot Modeling. Appendices. Index.
26 Feb 2012
TL;DR: Small Unmanned Aircraft provides a concise but comprehensive description of the key concepts and technologies underlying the dynamics, control, and guidance of fixed-wing unmanned aircraft, and enables all students with an introductory-level background in controls or robotics to enter this exciting and important area.
Abstract: Autonomous unmanned air vehicles (UAVs) are critical to current and future military, civil, and commercial operations. Despite their importance, no previous textbook has accessibly introduced UAVs to students in the engineering, computer, and science disciplines--until now. Small Unmanned Aircraft provides a concise but comprehensive description of the key concepts and technologies underlying the dynamics, control, and guidance of fixed-wing unmanned aircraft, and enables all students with an introductory-level background in controls or robotics to enter this exciting and important area. The authors explore the essential underlying physics and sensors of UAV problems, including low-level autopilot for stability and higher-level autopilot functions of path planning. The textbook leads the student from rigid-body dynamics through aerodynamics, stability augmentation, and state estimation using onboard sensors, to maneuvering through obstacles. To facilitate understanding, the authors have replaced traditional homework assignments with a simulation project using the MATLAB/Simulink environment. Students begin by modeling rigid-body dynamics, then add aerodynamics and sensor models. They develop low-level autopilot code, extended Kalman filters for state estimation, path-following routines, and high-level path-planning algorithms. The final chapter of the book focuses on UAV guidance using machine vision. Designed for advanced undergraduate or graduate students in engineering or the sciences, this book offers a bridge to the aerodynamics and control of UAV flight.
TL;DR: In this article, a sliding-mode autopilot is designed for the combined steering, diving, and speed control functions of an AUV, assuming decoupled modeling, and the influence of speed, modeling nonlinearity, uncertainty, and disturbances can be effectively compensated.
Abstract: A six-degree-of-freedom model for the maneuvering of an underwater vehicle is used and a sliding-mode autopilot is designed for the combined steering, diving, and speed control functions. In flight control applications of this kind, difficulties arise because the system to be controlled is highly nonlinear and coupled, and there is a good deal of parameter uncertainty and variation with operational conditions. The development of variable-structure control in the form of sliding modes has been shown to provide robustness that is expected to be quite remarkable for AUV autopilot design. It is shown that a multivariable sliding-mode autopilot based on state feedback, designed assuming decoupled modeling, is quite satisfactory for the combined speed, steering, and diving response of a slow AUV. The influence of speed, modeling nonlinearity, uncertainty, and disturbances, can be effectively compensated, even for complex maneuvering. Waypoint acquisition based on line-of-sight guidance is used to achieve path tracking. >
TL;DR: A survey of the autopilot systems for small or micro unmanned aerial vehicles (UAVs) is presented and several typical off-the-shelf autopilot packages are compared in terms of sensor packages, observation approaches and controller strengths.
Abstract: This paper presents a survey of the autopilot systems for small or micro unmanned aerial vehicles (UAVs). The objective is to provide a summary of the current commercial, open source and research autopilot systems for convenience of potential small UAV users. The UAV flight control basics are introduced first. The radio control system and autopilot control system are then explained from both the hardware and software viewpoints. Several typical off-the-shelf autopilot packages are compared in terms of sensor packages, observation approaches and controller strengths. Afterwards some open source autopilot systems are introduced. Conclusion is made with a summary of the current autopilot market and a remark on the future development.