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There has been significant interest for designing flight controllers for small-scale unmanned helicopters. Such helicopters preserve all the physical attributes of their full-scale counterparts, being at the same time more agile and dexterous. This book presents a comprehensive and well justified analysis for designing flight controllers for small-scale unmanned helicopters guarantying flight stability and tracking accuracy. The design of the flight controller is a critical and integral part for developing an autonomous helicopter platform. Helicopters are underactuated, highly nonlinear systems with significant dynamic coupling that needs to be considered and accounted for during controller design and implementation. Most reliable mathematical tools for analysis of control systems relate to modern control theory. Modern control techniques are model-based since the controller architecture depends on the dynamic representation of the system to be controlled. Therefore, the flight controller design problem is tightly connected with the helicopter modeling. This book provides a step-by-step methodology for designing, evaluating and implementing efficient flight controllers for small-scale helicopters. Design issues that are analytically covered include: • An illustrative presentation of both linear and nonlinear models of ordinary differential equations representing the helicopter dynamics. A detailed presentation of the helicopter equations of motion is given for the derivation of both model types. In addition, an insightful presentation of the main rotor's mechanism, aerodynamics and dynamics is also provided. Both model types are of low complexity, physically meaningful and capable of encapsulating the dynamic behavior of a large class of small-scale helicopters. • An illustrative and rigorous derivation of mathematical control algorithms based on both the linear and nonlinear representation of the helicopter dynamics. Flight controller designs guarantee that the tracking objectives of the helicopter's inertial position (or velocity) and heading are achieved. Each controller is carefully constructed by considering the small-scale helicopter's physical flight capabilities. Concepts of advanced stability analysis are used to improve the efficiency and reduce the complexity of the flight control system. Controller designs are derived in both continuous time and discrete time covering discretization issues, which emerge from the implementation of the control algorithm using microprocessors. • Presentation of the most powerful, practical and efficient methods for extracting the helicopter model parameters based on input/output responses, collected by the measurement instruments. This topic is of particular importance for real-life implementation of the control algorithms. This book is suitable for students and researchers interested in the development and the mathematical derivation of flight controllers for small-scale helicopters. Background knowledge in modern control is required.
Drone aircraft -- Control systems. --- Helicopters -- Control systems. --- Drone aircraft --- Military & Naval Science --- Mechanical Engineering --- Law, Politics & Government --- Engineering & Applied Sciences --- Air Forces --- Mechanical Engineering - General --- Control systems --- Drone aircraft. --- Drones (Aircraft) --- Pilotless aircraft --- Remotely piloted aircraft --- UAVs (Unmanned aerial vehicles) --- Unmanned aerial vehicles --- Engineering. --- System theory. --- Engineering design. --- Control engineering. --- Robotics. --- Mechatronics. --- Control, Robotics, Mechatronics. --- Engineering Design. --- Systems Theory, Control. --- Flying-machines --- Vehicles, Remotely piloted --- Airplanes --- Radio control --- Systems theory. --- Design, Engineering --- Engineering --- Industrial design --- Strains and stresses --- Design --- Systems, Theory of --- Systems science --- Science --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Philosophy
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Unmanned Rotorcraft Systems explores the research and development of fully-functional miniature rotorcraft unmanned aerial vehicles (UAV), and provides a complete treatment of their design. The unmanned system is an integration of advanced technologies developed in communications, computing, and control areas. It is a useful testing ground for trialing and implementing modern control techniques despite the challenges introduced by the limitations on direct scalability between the systems of a small-scale rotorcraft and those of its full-scale counterpart. Included are detailed expositions of: systematic hardware construction; software systems integration; aerodynamic modeling; and automatic flight control system design. Emphasis is placed on the cooperative control and flight formation of multiple UAVs, vision-based ground-target tracking, and landing on moving platforms. Other issues such as the development of indoor micro aerial vehicles (that have to operate without access to a global positioning system) and vision-based navigation are also discussed in depth. The text is rounded out with a presentation of possible future research directions for relevant fields of study. Unmanned Rotorcraft Systems will be of great value to practicing engineers in aerospace-related industries and to academic researchers from aerospace, electrical or mechanical engineering backgrounds working on the development of unmanned systems.
Drone aircraft -- Automatic control. --- Drone aircraft. --- Drone aircraft --- Helicopters --- Mechanical Engineering --- Engineering & Applied Sciences --- Mechanical Engineering - General --- Aeronautics Engineering & Astronautics --- Design and construction --- Design and construction. --- Copters --- Drones (Aircraft) --- Pilotless aircraft --- Remotely piloted aircraft --- UAVs (Unmanned aerial vehicles) --- Unmanned aerial vehicles --- Engineering. --- Microprogramming. --- Artificial intelligence. --- Aerospace engineering. --- Astronautics. --- Control engineering. --- Robotics. --- Automation. --- Control. --- Artificial Intelligence (incl. Robotics). --- Aerospace Technology and Astronautics. --- Robotics and Automation. --- Control Structures and Microprogramming. --- Aeronautics --- Flying-machines --- Ground-effect machines --- Vehicles, Remotely piloted --- Airplanes --- Radio control --- Control and Systems Theory. --- Artificial Intelligence. --- Computer programming --- Space sciences --- Astrodynamics --- Space flight --- Space vehicles --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Microprogramming . --- Automatic factories --- Automatic production --- Computer control --- Engineering cybernetics --- Factories --- Industrial engineering --- Mechanization --- Assembly-line methods --- Automatic control --- Automatic machinery --- CAD/CAM systems --- Robotics --- Automation --- Aeronautical engineering --- Astronautics --- Engineering --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers
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