This course covers advanced control system design for aerospace vehicles. The learning outcomes include understanding classical control theory, flight dynamics, dynamical systems representation, numerical methods, linearization of nonlinear systems, and optimal control formulation. Students will learn about pole placement control design, observer design, static optimization, calculus of variations, Lyapunov theory, dynamic inversion, and neuro-adaptive design. The course teaches linear control design techniques in aircraft control and the Kalman Filter theory. The teaching method involves lectures on various topics related to control system design. This course is intended for individuals interested in advanced control system design for aerospace vehicles.
Overview
Syllabus
Mod-01 Lec-01 Introduction and Motivation for Advanced Control Design.
Mod-02 Lec-02 Classical Control Overview - I.
Mod-02 Lec-03 Classical Control Overview - II.
Mod-02 Lec-04 Classical Control Overview - III.
Mod-02 Lec-05 Classical Control Overview -- IV.
Mod-03 Lec-06 Basic Principles of Atmospheric Flight Mechanics.
Mod-03 Lec-07 Overview of Flight Dynamics - I.
Mod-03 Lec-08 Overview of Flight Dynamics -- II.
Mod-04 Lec-09 Representation of Dynamical Systems -- I.
Mod-04 Lec-10 Representation of Dynamical Systems -- II.
Mod-04 Lec-11 Representation of Dynamical Systems -- III.
Mod-05 Lec-12 Review of Matrix Theory - I.
Mod-05 Lec-13 Review of Matrix Theory - II.
Mod-05 Lec-14 Review of Matrix Theory - III.
Mod-06 Lec-15 Review of Numerical Methods.
Mod-07 Lec-16 Linearization of Nonlinear Systems.
Mod-08 Lec-17 First and Second Order Linear Differential Equations.
Mod-08 Lec-18 Time Response of Linear Dynamical Systems.
Mod-08 Lec-19 Stability of Linear Time Invariant Systems.
Mod-08 Lec-20 Controllability and Observability of linear Time Invariant Systems.
Mod-09 Lec-21 Pole Placement Control Design.
Mod-09 Lec-22 Pole Placement Observer Design.
Mod-10 Lec-23 Static Optimization: An Overview.
Mod-11 Lec-24 Calculus of Variations: An Overview.
Mod-11 Lec-25 Optimal Control Formulation using Calculus of Variations.
Mod-11 Lec-26 Classical Numerical Methods for Optimal Control.
Mod-11 Lec-27 Linear Quadratic Regulator (LQR) Design - 1.
Mod-11 Lec-28 Linear Quadratic Regulator (LQR) Design - 2.
Mod-12 Lec-29 Linear Control Design Techniques in Aircraft Control--I.
Mod-12 Lec-30 Linear Control Design Techniques in Aircraft Control -- I.
Mod-13 Lec-31 Lyapunov Theory -- I.
Mod-13 Lec-32 Lyapunov Theory -- II.
Mod-13 Lec-33 Constructions of Lyapunov Functions.
Mod-14 Lec-34 Dynamic Inversion -- I.
Mod-14 Lec-35 Dynamic Inversion -- II.
Mod-14 Lec-36 Neuro-Adaptive Design -- I.
Mod-14 Lec-37 Neuro-Adaptive Design -- II.
Mod-14 Lec-38 Neuro-Adaptive Design for Flight Control.
Mod-15 Lec-39 Integrator Back-Stepping; Linear Quadratic (lQ) Observer.
Mod-15 Lec-40 An Overview of Kalman Filter Theory.
Taught by
aerospace engineering
