ATI's Guidance of Unmanned Aerial Vehicles

Summary: This two-day course presents both fundamental concepts and practical implementation of guidance laws for unmanned aerial vehicles. The guidance law design is considered from the point of view of control theory, i.e., as design of controls guiding unmanned aerial vehicles to targets (real targets for missiles and dummy targets – waypoints - for UAVs). Guidance laws design is considered as design of controls. A detailed description of a class of guidance laws obtained based on Lyapunov approach is presented. The analytical expressions of the guidance law are given for the generalized planar and three-dimensional engagement models with axial and lateral controlled acceleration. The Lyapunov-Bellman approach is used to justify the choice of some guidance law parameters. The generalized guidance problem applicable for UAVs is considered. Guidance of UAVs, which practical application in various areas continues growing, is considered. The guidance laws applied to a wide class of problems with UAVs are developed. The computational algorithms realizing these laws are tested in three applications – for surveillance problem, for the refueling problem and for the motion control of a swarm of UAVs. Each student will receive a copy of a book Guidance of Unmanned Aerial Vehicles by R. Yanushevsky (a $189 value) in addition to a complete set of lecture notes. Instructor: Rafael Yanushevsky received the M.S. in mathematics, M.S. degree in electro-mechanical engineering, and the PhD degree in optimization of multivariable systems from the Institute of Control Sciences of the USSR Academy of Sciences, Moscow, Russia. His research interests were in optimal control theory and its applications (specially, in aerospace), optimal control of differential-difference systems, signal processing, game theory and operations research. He had published over 40 papers in these areas and two books "Theory of linear optimal multivariable control systems" and "Control systems with time-lag." After immigration in the United States, in December 1987, he started teaching at the University of Maryland, the department of electrical engineering, and at the University of the District of Columbia, the department of Mathematics. Since 1999 he has been involved in projects related to the aerospace industry. He participated in development of engagement model as a part of Battlespace Engineering Assessment Tool, WCS software, developed new guidance laws and wrote sections of Modeling and Simulation Handbook related to the weapon control system and fire control system of SM-3 missiles. In 2002 he received Letter of Appreciation from the Department of the Navy, the Navy Area Theater Ballistic Missile Program. He has published over 80 papers, 4 books (his last book is "Guidance of Unmanned Aerial Vehicles," Taylor & Francis, New York, London, 2011). He is included in "Who’s Who in America," "Who’s Who in Science and Engineering," and "Who’s Who in American Education." Contact this instructor (please mention course name in the subject line) What You Will Learn: About various types of UAVs and related problems Where the most promising international research is being performed Guidance laws for various UAV’s applications. Theoretical aspects and computational algorithms Examples of guidance laws for various UAV’s problems accompanied with simulation results Course Outline: Introduction Various types of UAVs. The most important UAV parameters. Current research efforts Basics of Guidance Guidance Process. Terminology. Necessary functions required to guide an unmanned aerial vehicle. Rendezvous. Conditional rendezvous. Missile guidance. Guidance of cruise missiles and UAVs. Representation of motion. Longitudinal and lateral motions Control of Lateral Motion Parallel Navigation Proportional Navigation. Augmented Proportional Navigation. Planar engagement. Three-dimensional engagement. Proportional Navigation as a control problem. Augmented Proportional Navigation as a control problem Control of Longitudinal and Lateral Motion Guidance correction controls. Lyapunov approach to control law design .Lyapunov-Bellman approach. Optimal guidance parameters. Generalized guidance laws. Modifies generalized guidance laws. Examples Guidance of Missiles Analysis of widely used guidance laws. A class of laws implementing Parallel Navigation. Neoclassical guidance. Pseudo-classical guidance. Guidance of UAVs Basic guidance laws and vision based navigation. Generalized guidance laws for UAVs. Obstacle Avoidance Algorithms. Waypoint guidance problem. Rendezvous guidance problem. Conditional rendezvous guidance problem. Guidance of a Swarm of UAVs. Examples of guidance laws for various UAV’s applications accompanied with simulation results. Integrated Design Integrated guidance and control model. Synthesis of control laws. Integration and decomposition Concluding Remarks The future trend in developing the new generation of UAVs and related problems Tuition: For dedicated on-site pricing and availability request information HERE. Register Now Without Obligation