Linear and Nonlinear Control of Small-Scale Unmanned Helicopters

Model-Based Control of Unmanned Rotorcraft provides a comprehensive study of modeling and control of small unmanned rotorcraft (helicopters), and explores the technical challenges involved. The text also serves as a step-by-step reference on the modeling and control of small, unmanned helicopters.

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 researches interested in the development and the mathematical derivation of flight controllers for small-scale helicopters. Background knowledge in modern control is required.

The comprehensive study of modeling and control of small unmanned rotorcraft (helicopters) addressing all technical challenges faced when dealing with such unstable, nonlinear and underactuated systems;A detailed reference text that if followed step-by-step allows scientists, engineers, researchers and practitioners to model accurately and control (fly) small unmanned helicopters;Reference point-by-point analytical 'tool' that should be next to every small unmanned rotorcraft Includes supplementary material: sn.pub/extras

Auteur
Dr. Raptis joined the faculty of Mechanical Engineering at the University of Massachusetts Lowell as an Assistant Professor in Fall 2012. He is the director of the Autonomous Robotic Systems Laboratory (ARSL). Dr. Raptis received his Dipl-Ing. in Electrical and Computer Engineering from the Aristotle University of Thessaloniki, Greece and his Master of Science in Electrical and Computer Engineering from The Ohio State University in 2003 and 2006, respectively. In 2010 he received his Ph.D. degree in the department of Electrical Engineering at the University of South Florida. In the same year he joined the Intelligent Control Systems Laboratory (ICSL) and the School of Electrical and Computer Engineering at the Georgia Institute of Technology as a Postdoctoral Research Fellow. From October 2011 to August 2012 he had a joint appointment with ICSL and the Aerospace Systems Design Laboratory (ASDL) in the department of Aerospace Engineering at the Georgia Institute of Technology.

Dr. Valavanis received the Diploma in Electrical and Electronic Engineering (5 years of study) in 1981 from the National Technical University of Athens (http://www.ntua.gr), Greece, and he completed the Professional Engineer (PE) exams in Electrical and Mechanical Engineering in February 1982. He received the M.Sc. degree in Electrical Engineering and the PhD degree in Computer and Systems Engineering from Rensselaer Polytechnic Institute (RPI) (http://www.rensselaer.edu) in 1984 and 1986, respectively. From 1987 to 1990 he held the Analog Devices Career Development Chair for Assistant Professors at the Department of Electrical and Computer Engineering, Northeastern University (http://www.northeastern.edu), Boston, where he was also Director of the Robotics Laboratory. From 1991 to 1999 he was with The Center for Advanced Computer Studies (CACS), University of Louisiana at Lafayette (http://www.cacs.louisiana.edu) where he served as Associate Professor(1991-1995) and Professor (since 1995) of Computer Engineering, as Associate Director for Research at the A-CIM Center (1993-1999) and as Director of the Robotics and Automation Laboratory. He also held the A-CIM/[TC]2/Regents Professorship in Manufacturing. From 1999-2003, he was Professor in the Department of Production Engineering and Management, Technical University of Crete (http://www.tuc.gr), Greece, where he also served as Director of the Laboratory of Intelligent Systems and Robotics, Director of the Graduate Program and Chair of the University Industrial Advisory Board. From 2003-August 2008 he was Professor at the Department of Computer Science and Engineering, University of South Florida (http://www.cse.usf.edu), where he also served as Deputy Director at the Center for Robot-Assisted Search and Rescue (CRASAR) until the summer of 2005. In 2006, he created the Unmanned Systems Laboratory in the College of Engineering, in which he served as Director. Hewas also the Managing Director of the *National Institute for Applied Computational Intelligence (NIACI) and a Faculty Associate at the Center for Urban Transportation Research (CUTR). He joined the University of Denver on September 1, 2008, as Professor and Chair of the Electrical and Computer Engineering Department. Since July 1, 2009, he is also Acting Chair of the Computer Science Department. In 2009, he established the DU Unmanned Systems Laboratory (*DU2SL), serving as its Director. He is also Guest Professor in the Faculty of Electrical Engineering and Computing, Department of Telecommunications, University of Zagreb (http://www.fer.hr), Croatia. Dr. Valavanis' research interests are focused in the areas of Unmanned Systems, Distributed Intelligence Systems, Robotics and Automation. He has published over 300 book chapters, technical journal/transaction and referred conference papers. He has co-authored the book Intelligent Robotic Systems: Theory, Design and Applications (with Dr. G. N. Saridis), Kluwer Academic Publishers, 1992; he co-edited (with B. Siciliano) the book Control Problems in Robo…