Overview

The objective is to present a classical approach to the robust design of nonlinear GNC systems that accounts for both the stability and performance specifications. The course is built around the task of designing a robust autopilot for a typical robotic UxV platform; the class will be given an option of choosing the platform of interest. The robust autopilot integrates all parts of the GNC design process into one complete task. Development of the mathematical modeling skills is supported by intensive introduction to the advanced capabilities of MatLab/Simulink, therefore some prior familiarity with them are required. Students are asked to choose an autonomous system, model its dynamics in a nonlinear simulation package such as SIMULINK, define the uncertainty of the mathematical model, and then design a robust autopilot for this system. The design is to be tested on SIMULINK or a similar numerical computational platform integrated with a high-fidelity 6DOF motion dynamics engine; UAV class is supported by CONDOR simulator. Course notes and labs cover all the relevant material.

Included in Degrees & Certificates

• 223
• 299

Prerequisites

• ME3205
• ME2801
• Or equivalent or by consent of instructor

Learning Outcomes

 At the completion of the course students will be able to:

• Mathematical modeling of nonlinear dynamics.
• Nonlinear control design methods and approaches to verify their stability.
• The concept of Dynamic Inversion.
• Autopilot design methods.
• Key concepts of states and environment estimation.
• Estimation of operational environment from the mission goal perspectives: SIGINT, Extended endurance, ISR etc.
• Path planning and following to maximize mission effectiveness.