The course objective is to provide a comprehensive study of unmanned fixed-wing, rotorcraft, and multirotor vehicle modeling and controller design techniques.
The course objective is to provide a comprehensive study of unmanned fixedwing, rotorcraft, and multirotor vehicle modeling and controller design techniques. Course
modules include a review of kinematics, dynamics, equations of motion, parameter identification
techniques, linear, linearized, and nonlinear controller design approaches, implementation, and
testing – along with their advantages and limitations. A software-based platform for simulated
experiments is introduced and used to compare performance of implemented techniques under
nominal and detrimental conditions. Case studies include simulation and experimental results for
several prototype UAVs. Consequently, a general framework for controller design of a class of
nonlinear systems with unstructured, time-varying uncertainties (aerodynamic uncertainties) is
proposed and implemented, and it is supported by obtained results.
Prerequisites: Knowledge of feedback control systems is required. Knowledge of fundamentals of
robotics is desirable, but not necessary. All required background information will be presented in
class.
Intended Audience: The course is suitable for graduate and doctoral students in the areas of
Aeronautical, Electrical and Computer, Mechanical and Systems Engineering and Computer
Science.
he course objective is to provide a comprehensive study of unmanned fixed-wing, rotorcraft, and multirotor vehicle modeling and controller design techniques.
The course objective is to provide a comprehensive study of unmanned fixedwing, rotorcraft, and multirotor vehicle modeling and controller design techniques. Course
modules include a review of kinematics, dynamics, equations of motion, parameter identification
techniques, linear, linearized, and nonlinear controller design approaches, implementation, and
testing – along with their advantages and limitations. A software-based platform for simulated
experiments is introduced and used to compare performance of implemented techniques under
nominal and detrimental conditions. Case studies include simulation and experimental results for
several prototype UAVs. Consequently, a general framework for controller design of a class of
nonlinear systems with unstructured, time-varying uncertainties (aerodynamic uncertainties) is
proposed and implemented, and it is supported by obtained results.
Prerequisites: Knowledge of feedback control systems is required. Knowledge of fundamentals of
robotics is desirable, but not necessary. All required background information will be presented in
class.
Intended Audience: The course is suitable for graduate and doctoral students in the areas of
Aeronautical, Electrical and Computer, Mechanical and Systems Engineering and Computer
Science.
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Gest Lecture:
Kimon Valavanis- University of Denver
Course Summary:
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In presenza
On site
Presentazione orale
Oral presentation
P.D.2-2 - Aprile
P.D.2-2 - April
April 15 from 15 to 17.30 sala Maxwell
April 16 from 9 to 11 DIMEAS sala terzo piano, from 15 to 17.30 sala C
April 17 from 9 to 12, from 14 to 17 sala C
April 18 from 9 to 12 sala C, from 14 to 17 sala Maxwell
April 19 from 9 to 11 sala C