Advanced Control System Design for Aerospace Vehicles. Instructor: Prof. Radhakant Padhi, Department of Aerospace Engineering, IISc Bangalore.
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September 23, 2023
English
English [CC]
Description
In this course concepts and techniques of linear and nonlinear control system analysis and synthesis will be studied in the modern control (state space) framework. It will have preferential bias towards aerospace applications, especially towards guidance and control of aircrafts and missiles. However, the theory as well as many demonstrative examples will be quite generic and hence this course is expected to be useful to the students from many other engineering disciplines as well. (from nptel.ac.in)
Course Curriculum
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- Lecture 01 – Introduction and Motivation for Advanced Control Design Unlimited
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- Lecture 02 – Classical Control Overview I Unlimited
- Lecture 03 – Classical Control Overview II Unlimited
- Lecture 04 – Classical Control Overview III Unlimited
- Lecture 05 – Classical Control Overview IV Unlimited
- Lecture 06 – Basic Principles of Atmospheric Flight Mechanics Unlimited
- Lecture 07 – Overview of Flight Dynamics Unlimited
- Lecture 08 – Overview of Flight Dynamics (cont.) Unlimited
- Lecture 12 – Review of Matrix Theory I Unlimited
- Lecture 13 – Review of Matrix Theory II Unlimited
- Lecture 14 – Review of Matrix Theory III Unlimited
- Lecture 16 – Linearization of Nonlinear Systems Unlimited
- Lecture 21 – Pole Placement Control Design Unlimited
- Lecture 22 – Pole Placement Observer Design Unlimited
- Lecture 24 – Calculus of Variations: An Overview Unlimited
- Lecture 25 – Optimal Control Formulation using Calculus of Variations Unlimited
- Lecture 26 – Classical Numerical Methods for Optimal Control Unlimited
- Lecture 27 – Linear Quadratic Regulator (LQR) Design Unlimited
- Lecture 28 – Linear Quadratic Regulator (LQR) Design (cont.) Unlimited
- Lecture 31 – Lyapunov Theory Unlimited
- Lecture 32 – Lyapunov Theory (cont.) Unlimited
- Lecture 33 – Construction of Lyapunov Functions Unlimited
- Lecture 39 – Integrator Backstepping; Linear Quadratic (LQ) Observer Unlimited
- Lecture 40 – An Overview of Kalman Filter Theory Unlimited
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