Ng T.S. Flight Systems and Control. A Practical Approach

Heidelberg: Springer, 2018. — 255 p. — ISBN: 978-981-10-8720-2.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. 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. Robust control system is developed as a technique to withstand wind gusts and disturbances. 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.Preliminary.
Book Highlights.
s’ Organization.
Flight Mechanics.
Basic Flight System.
Steady Straight Level Flight.
Takeoff Maneuver.
Glider Design.
Aircraft Failures.
Navigational Modules.
Magnetic Heading Sensing.
Acceleration Sensor.
Global Positioning System.
Integrated Navigational System.
Flight Simulator Systems.
Flight Software and Yoke.
Aircraft C-130 Simulator.
Flight Determination of Aircraft Performance.
Experimental Setup.
Tandem Rotor Helicopter Control.
Fundamentals of Control System.
Tandem Rotor Modelling.
PID Control Scheme.
Elevation Control Analysis.
Elevation Disturbance Control.
Pitch Control Analysis.
Travel Control Analysis.
Travel Rate Control Analysis.
3-DOF Helicopter Control System.
Real Time Control Implementation.
Unmanned Aerial Vehicle System.
Autopilots.
Machine Vision Payload.
Telemetry.
Ground Control Station.
Unmanned Wooden Airplane.
Rotorcrafts.
Quadrotor Modelling.
State-Space Control Method.
Attitude LQR Controller.
Attitude Control Result.
Control of the Quadcopter.
LQR Control Technique.
Quadcopter Computations.
Multiple Quadcopters.
Flight Instrumentation Acquisition.
Inertial Navigation Systems.
INS Hardware Interface.
Sensor Information Acquisition.
GUI Software Development.
Robotic Navigational Sensor.
IMU Data Extraction.
IMU 3D Model Acquisition.
Recent and Future Developments.
Solar UAV.
Wind-Powered Energy Source.
Fuel Cell Technology.
Vertical Takeoff/Landing Air Vehicles.
New Stealth Technology.
Aerial Systems Improvements.
Erratum to: Flight Systems and Control.
Appendix A: LabVIEW Functions.
Appendix B: Tricopter Graphical Programming.
Appendix C: Questions.