Unmanned Aerial Vehicle Guidance & Control
This three-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 Unmanned Aerial Vehicle Guidance & Control by R. Yanushevsky (a $189 value) in addition to a complete set of lecture notes..
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
- 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
REGISTRATION: There is no obligation or payment required to enter the Registration for an actively scheduled course. We understand that you may need approvals but please register as early as possible or contact us so we know of your interest in this course offering.
SCHEDULING: If this course is not on the current schedule of open enrollment courses and you are interested in attending this or another course as an open enrollment, please contact us at (410)956-8805 or email@example.com. Please indicate the course name, number of students who wish to participate. and a preferred time frame. ATI typically schedules open enrollment courses with a 3-5 month lead-time. To express your interest in an open enrollment course not on our current schedule, please email us at firstname.lastname@example.org.
Dr. 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 (especially in aerospace), optimal control of differential-difference systems, signal processing, game theory and operations research. He started teaching in 1987 at the University of Maryland and at the University of the District of Columbia. Since 1999 he has been involved in projects related to the aerospace industry. He participated in development of engagement model as a part of Battle-Space Engineering Assessment Tool, WCS software, developed new guidance laws. He 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 including Modern Missile Guidance (2007) and Unmanned Aerial Vehicle Guidance & Control, ( 2011). Dr Yanushevsky also teaches for ATI the course Unmanned Aerial Vehicles Guidance & Control He is included in “Who’s Who in America,” “Who’s Who in Science and Engineering,” and “Who’s Who in American Education.”
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