Explore advanced control system design techniques for aerospace vehicles in this comprehensive course. Delve into classical control theory, atmospheric flight mechanics, and flight dynamics. Master the representation of dynamical systems, matrix theory, and numerical methods. Study linearization of nonlinear systems, stability analysis, and controllability concepts. Learn pole placement control and observer design, optimal control formulation, and Linear Quadratic Regulator (LQR) design. Examine Lyapunov theory, dynamic inversion, and neuro-adaptive design for flight control. Gain insights into integrator back-stepping, LQ observers, and Kalman filter theory. Develop expertise in applying these advanced control techniques to aircraft and aerospace systems.
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
