Details

Flight Systems and Control


Flight Systems and Control

A Practical Approach
Springer Aerospace Technology

von: Tian Seng Ng

142,79 €

Verlag: Springer
Format: PDF
Veröffentl.: 13.04.2018
ISBN/EAN: 9789811087219
Sprache: englisch

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Beschreibungen

This book focuses on flight vehicles and their navigational systems, discussing different forms of flight structures and their control systems, from fixed wings to rotary crafts. Software simulation enables testing of the hardware without actual implementation, and the flight simulators, mechanics, glider development and navigation systems presented here are suitable for lab-based experimentation studies. It explores laboratory testing of flight navigational sensors, such as the magnetic, acceleration and Global Positioning System (GPS) units, and illustrates the six-axis inertial measurement unit (IMU) instrumentation as well as its data acquisition methodology. The book offers an introduction to the various unmanned aerial vehicle (UAV) systems and their accessories, including the linear quadratic regulator (LQR) method for controlling the rotorcraft. It also describes a Matrix Laboratory (MATLAB) control algorithm that simulates and runs the lab- based 3 degrees of freedom (DOF) helicopter, as well as LabVIEW software used to validate controller design and data acquisition. Lastly, the book explores future developments in aviation techniques.
Chapter 1 --- Introduction 1.1 Preliminary 1.2 Book Highlights 1.3 Chapters’ Organization Chapter 2 --- Flight Mechanics  2.1 Basic Flight System 2.2 Steady Straight Level Flight  2.3 Takeoff Maneuver 2.4 Glider Design 2.5 Aircraft Failures Chapter 3 --- Navigational Modules 3.1 Magnetic Heading Sensing 3.2 Acceleration Sensor 3.3 Global Positioning System  3.3.1 GPS Experiment 3.4 Integrated Navigational System Chapter 4 --- Flight Simulator Systems 4.1 Flight Software And Yoke 53 4.2 Aircraft C-130 Simulator  4.3 Flight Determination Of Aircraft Performance  4.4 Experimental Setup  Chapter 5 --- Tandem Rotor Helicopter Control 5.1 Fundamentals Of Control System  5.2 Tandem Rotor Modelling  5.3 PID Control Scheme  5.4 Elevation Control Analysis  5.4.1 Elevation Control  5.4.2 Elevation Controller Design 5.5 Elevation Disturbance Control  5.6 Pitch Control Analysis  5.6.1 Pitch Control 5.6.2 Pitch Controller Design  5.7 Travel Control Analysis  5.7.1 Travel Position Control  5.7.2 Travel Position Controller Design  5.8 Travel Rate Control Analysis  5.8.1 Travel Rate Control  5.8.2 Travel Rate Controller Design  5.9 3-DOF Helicopter Control System  5.10 Real Time Control Implementation Chapter 6 --- Unmanned Aerial Vehicle System  6.1 Autopilots  6.2 Machine Vision Payload  6.3 Telemetry  6.4 Ground Control Station  6.5 Unmanned Wooden Airplane  Chapter 7 --- Rotorcrafts 7.1 Quadrotor Modelling  7.1.1 Hovering Body Parallel To The Ground  7.1.2 Altitude Control  7.2 State-Space Control Method  7.3 Attitude LQR Controller  7.4 Attitude Control Result  7.5 Control Of The Quadcopter  7.6 LQR Control Technique 7.6.1Controllability & Observability  7.6.2 Modified LQR Control  7.6.3 The Threshold Value  7.7 Quadcopter Computations 7.8 Multiple Quadcopters Chapter 8 --- Flight Instrumentation Acquisition 8.1 Inertial Navigation Systems 8.2 INS Hardware Interface 8.3 Sensor Information Acquisition  8.4 GUI Software Development 8.4.1 Internal Computation 8.4.2 Main Function Block  8.4.3 Input Configuration 8.5 Robotic Navigational Sensor  8.5.1 Packet Signals 8.5.2 GPS Receiving Signals  8.6 IMU Data Extraction  8.7 IMU 3D Model Acquisition  8.7.1 VRML Model 8.7.2 IMU Model Attitude Control  Chapter 9 --- Recent And Future Developments 9.1 Solar UAV 9.1.1 Solar-Powered Methodology  9.1.2 Wing Tunnel Model 9.1.3 Flight System  9.1.4 Long Endurance UAV Flight  9.2 Wind Powered Energy Source  9.3 Fuel Cell Technology 9.4 Vertical Takeoff/Landing Air Vehicles  Appendix 1: LabVIEW Functions  Appendix 2: Tricopter Graphical Programming  Appendix 3: Questions References  Index 
Mr Tian Seng Ng has an MSc degree in Computer Control and Automation. He is a member of the technical staff at the Nanyang Technological University. He has been active in the field of         robotics, control and automation for almost 25 year, and has worked on gantry crane automation systems at wharves and field pumping stations in Singapore. His interest lies in the domain of   instrumentation, mechatronics, control systems and machine vision.
This book focuses on flight vehicles and their navigational systems, discussing different forms of flight structures and their control systems, from fixed wings to rotary crafts. Software simulation enables testing of the hardware without actual implementation, and the flight simulators, mechanics, glider development and navigation systems presented here are suitable for lab-based        experimentation studies.  It explores laboratory testing of flight navigational sensors, such as the magnetic, acceleration and Global Positioning System (GPS) units, and illustrates the six-axis     inertial measurement unit (IMU) instrumentation as well as its data acquisition methodology. The book offers an introduction to the various unmanned aerial vehicle (UAV) systems and their     accessories, including the linear quadratic regulator (LQR) method for controlling the rotorcraft. It also describes a Matrix Laboratory (MATLAB) control algorithm that simulates and runs the lab-    based 3 degrees of freedom (DOF) helicopter, as well as LabVIEW software used to validate controller design and data acquisition. Lastly, the book explores future developments in aviation techniques.
Highlights flight structures and their control systems

Includes Matrix Laboratory (MATLAB) codes/plots and the Virtual Reality Modeling Language (VRML) program as examples

Provides an introduction to various unmanned aerial vehicle (UAV) systems and their accessories

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