Ng Flight Systems and Control

A Practical Approach
1. Auflage 2018
ISBN: 978-981-10-8721-9
Verlag: Springer Nature Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 254 Seiten

Reihe: Springer Aerospace Technology

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.

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.

Autoren/Hrsg.

Ng, Tian Seng

Inhaltsverzeichnis

1;Preface;7
2;Acknowledgements;9
3;Contents;10
4;List of Figures;13
5;List of Tables;18
6;List of Programs;19
7;1 Introduction;20
7.1;1.1 Preliminary;20
7.2;1.2 Book Highlights;20
7.3;1.3 Chapters’ Organization;21
8;2 Flight Mechanics;22
8.1;2.1 Basic Flight System;22
8.2;2.2 Steady Straight Level Flight;22
8.3;2.3 Takeoff Maneuver;27
8.4;2.4 Glider Design;28
8.5;2.5 Aircraft Failures;28
9;3 Navigational Modules;31
9.1;3.1 Magnetic Heading Sensing;31
9.2;3.2 Acceleration Sensor;38
9.3;3.3 Global Positioning System;44
9.3.1;3.3.1 GPS Experiment;51
9.4;3.4 Integrated Navigational System;58
10;4 Flight Simulator Systems;60
10.1;4.1 Flight Software and Yoke;60
10.2;4.2 Aircraft C-130 Simulator;63
10.3;4.3 Flight Determination of Aircraft Performance;65
10.4;4.4 Experimental Setup;69
11;5 Tandem Rotor Helicopter Control;71
11.1;5.1 Fundamentals of Control System;71
11.2;5.2 Tandem Rotor Modelling;75
11.3;5.3 PID Control Scheme;79
11.4;5.4 Elevation Control Analysis;81
11.4.1;5.4.1 Elevation Control;81
11.4.2;5.4.2 Elevation Controllers Design;93
11.5;5.5 Elevation Disturbance Control;98
11.6;5.6 Pitch Control Analysis;102
11.6.1;5.6.1 Pitch Control;102
11.6.2;5.6.2 Pitch Controllers Design;103
11.7;5.7 Travel Control Analysis;104
11.7.1;5.7.1 Travel Position Control;104
11.7.2;5.7.2 Travel Position Controller Design;105
11.8;5.8 Travel Rate Control Analysis;107
11.8.1;5.8.1 Travel Rate Control;107
11.8.2;5.8.2 Travel Rate Controller Design;108
11.9;5.9 3-DOF Helicopter Control System;111
11.10;5.10 Real Time Control Implementation;114
12;6 Unmanned Aerial Vehicle System;124
12.1;6.1 Autopilots;124
12.2;6.2 Machine Vision Payload;126
12.3;6.3 Telemetry;129
12.4;6.4 Ground Control Station;131
12.5;6.5 Unmanned Wooden Airplane;132
13;7 Rotorcrafts;134
13.1;7.1 Quadrotor Modelling;134
13.1.1;7.1.1 Hovering Body Parallel to the Ground;134
13.1.2;7.1.2 Altitude Control;136
13.2;7.2 State-Space Control Method;136
13.3;7.3 Attitude LQR Controller;140
13.4;7.4 Attitude Control Result;141
13.5;7.5 Control of the Quadcopter;142
13.6;7.6 LQR Control Technique;145
13.6.1;7.6.1 Controllability and Observability;145
13.6.2;7.6.2 Modified LQR Control;148
13.6.3;7.6.3 The Threshold Value;151
13.7;7.7 Quadcopter Computations;153
13.8;7.8 Multiple Quadcopters;162
14;8 Flight Instrumentation Acquisition;169
14.1;8.1 Inertial Navigation Systems;169
14.2;8.2 INS Hardware Interface;170
14.3;8.3 Sensor Information Acquisition;171
14.4;8.4 GUI Software Development;176
14.4.1;8.4.1 Internal Computation;176
14.4.2;8.4.2 Main Function Block;176
14.4.3;8.4.3 Input Configuration;179
14.5;8.5 Robotic Navigational Sensor;182
14.5.1;8.5.1 Packet Signals;186
14.5.2;8.5.2 GPS Receiving Signal;189
14.6;8.6 IMU Data Extraction;197
14.7;8.7 IMU 3D Model Acquisition;204
14.7.1;8.7.1 VRML Model;204
14.7.2;8.7.2 IMU Model Attitude Control;207
15;9 Recent and Future Developments;213
15.1;9.1 Solar UAV;213
15.1.1;9.1.1 Solar-Powered Methodology;214
15.1.2;9.1.2 Wind Tunnel Model;215
15.1.3;9.1.3 Flight System;216
15.1.4;9.1.4 Long Endurance UAV Flight;217
15.2;9.2 Wind-Powered Energy Source;217
15.3;9.3 Fuel Cell Technology;219
15.4;9.4 Vertical Takeoff/Landing Air Vehicles;221
15.5;9.5 New Stealth Technology;224
15.6;9.6 Aerial Systems Improvements;225
16;10 Erratum to: Flight Systems and Control;226
16.1;Erratum to:T. S. Ng, Flight Systems and Control, Springer Aerospace Technology, https://doi.org/10.1007/978-981-10-8721-9;226
17;Appendix A: LabVIEW Functions;227
18;Appendix B: Tricopter Graphical Programming;241
19;Appendix C: Questions;245
20;References;251
21;Index;252