•the systematic hardware construction;
•software systems integration;
•aerodynamic modeling; and
•automatic flight control system design.
Emphasis is extended to the cooperative control and flight formation of multiple UAVs, and vision-based ground target tracking and landing on moving platforms. Other issues such as the development of GPSless indoor micro aerial vehicles and vision-based navigation are also highlighted.
The proposed monograph aims to explore the research and development of fully functional miniature UAV (unmanned-aerial-vehicle) rotorcraft. This consists of a small-scale basic rotorcraft with all necessary accessories onboard, and a ground station. The unmanned system is an integration of advanced technologies developed in communications, computing and control areas. It is an excellent testing ground for trialing and implementing modern control techniques. It is however a highly challenging process. The aerodynamics of a small-scale rotorcraft such as a hobby helicopter are similar to its full-scale counterpart but has some unique characteristics, such as the utilization of stabilizer bar and higher main/tail rotors rotation speed. Besides these, the strict limitation on payload also increases the difficulty on upgrading a small-scale rotorcraft to a UAV with full capacities. Based on its various characteristics and limitations, a light-weight but effective onboard computer system with corresponding onboard/ground software should be carefully designed to realize the system identification and automatic flight requirements. These issues will be addressed in detail in this monograph. Research on the following will be detailed:
•utilizing the vision-based system for accomplishing ground target tracking;
•attacking and landing;
•cooperative control and flight formation of muitiple unmanned rotorcraft;
•future research directions on the related areas.
The book will be a good reference for researchers and students working on the related subjects. Unmanned Rotorcraft Systems will be of great value to practicing engineers in rotorcraft industries and to researchers in areas related to the development of unmanned systems in general. It may be used as a reference for advanced undergraduate and graduate students in aeronautics and astrinautics, electrical and mechanical engineering.
Guowei Cai's research area is the development of unmanned aerial systems, aerodynamic modeling and flight control systems.
Ben M. Chen's research areas include the development of unmanned systems, robust and non-linear control, and systems theory and control applications.
Tong H. Lee's main research foci are in unmanned aerial systems, adaptive control systems, knowledge-based control and intelligent motion control.
Constructive algorithms are provided for finding solutions to:
• general singular H-infinity control problems;
• general H-infinity almost disturbance decoupling problems;
• robust and perfect tracking problems.
The theory presented in the earlier chapters of the text are also subsequently applied to real-life problems with actual implementations: gyro-stabilized mirror targeting; hard-disk-drive servo control and control of a piezoelectric actuator.
Robust and H-infinity Control can be used for graduate courses in robust control and as a reference for academic researchers; the reader should have completed first-year graduate courses in linear systems and multivariable control. It will also be of great value to engineers practising in the process, electronics and aerospace industries.
Written for a wide readership, engineers, researchers, senior undergraduates and graduate students interested in the field of evolutionary algorithms and multiobjective optimization with some basic knowledge of evolutionary computation will find this book a useful addition to their book case.
Intelligent Diagnosis and Prognosis of Industrial Networked Systems proposes linear mathematical tool sets that can be applied to realistic engineering systems. The book offers an overview of the fundamentals of vectors, matrices, and linear systems theory required for intelligent diagnosis and prognosis of industrial networked systems. Building on this theory, it then develops automated mathematical machineries and formal decision software tools for real-world applications.
The book includes portable tool sets for many industrial applications, including:Forecasting machine tool wear in industrial cutting machines Reduction of sensors and features for industrial fault detection and isolation (FDI) Identification of critical resonant modes in mechatronic systems for system design of R&D Probabilistic small-signal stability in large-scale interconnected power systems Discrete event command and control for military applications
The book also proposes future directions for intelligent diagnosis and prognosis in energy-efficient manufacturing, life cycle assessment, and systems of systems architecture. Written in a concise and accessible style, it presents tools that are mathematically rigorous but not involved. Bridging academia, research, and industry, this reference supplies the know-how for engineers and managers making decisions about equipment maintenance, as well as researchers and students in the field.