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Principle of Guidance of Autonomous Vehicles

Overview

This repository contains the materials for the AS5570 IITM Aerospace Engineering Elective Course, focused on the principles of autonomous guidance for aerial vehicles. It covers theoretical concepts, simulations, assignments, and references related to guidance laws and their applications. A student should be able to formulate and solve interceptor-target engagement problems using classical and modern guidance laws or algorithms.

Course Contents

1. Overview of Autonomous Guidance

An introduction to the field of autonomous guidance, its importance, and applications in modern aerospace systems.

2. Guidance Related Terms

A glossary of key terms and definitions essential for understanding autonomous guidance systems.

3. Fundamentals of Avoidance and Interception

  • 3.1 Avoidance: Techniques for obstacle avoidance in autonomous systems.
  • 3.2 Interception: Strategies for target engagement and interception.

4. Taxonomy of Guidance Laws

A classification of various guidance laws and their operational principles.

5. Pure Pursuit and Deviated Pure Pursuit

Detailed analysis of these classical guidance strategies, their geometry, and applications.

6. Line-of-Sight (LOS) Guidance

Understanding the fundamentals of LOS guidance and its role in engagement scenarios.

7. Proportional Navigation

Comprehensive coverage of proportional navigation laws, including derivation and practical applications.

8. Modern Guidance Laws

  • 8.1 Linearised Engagement Geometry-Based:
    • 8.1.1 Near Collision Course (NCC): Analysis of near-collision scenarios and guidance adjustments.
  • 8.2 Sliding Mode-Based Guidance: Robust guidance techniques using sliding mode control.
  • 8.3 Terminal Angle Control: Methods to achieve precise terminal angle requirements.
  • 8.4 Time-to-Go and Final Time Control: Concepts for controlling engagement timing.

Repository Structure

  • Assignments: Includes problem sets and solutions with relevant codes.
  • Course Project: Materials related to the guidance algorithm project.
  • Exams: Contains answer keys and sample questions.
  • References: Supporting materials and resources.
  • Simulations: Code and plots for various guidance law simulations.
  • Class Notes

About

This repository serves as a comprehensive resource for learning and implementing autonomous guidance principles for aerial vehicles. Contributions to the course project were equally shared among team members, ensuring a collaborative effort.