AE3830 Aerospace Guidance and Control

Overview and fundamental components of Guidance, Navigation and Control Systems. State-space representation of dynamical systems. Simulation of nonlinear dynamical systems. Sources and effects of navigation and modeling errors on guidance and control systems. Error propagation techniques and Monte Carlo simulations. Review of PID controllers. Introduction to basic optimal control theory. Linear quadratic double-integrator problems and foundations of real-time optimal control (RTOC). Guidance theory via RTOC. Class project on a two-degree of freedom Guidance-Control System architecture.

Cross Listed Courses

Cross-list AE3830 as both AE3830 and ME3830 to support AE and ME curricula

Prerequisite

ME2801 or EC2300, MA2121 or equivalent.

Lecture Hours

Lab Hours

Course Learning Outcomes

Upon successful completion of this course, students will:

Understand the fundamentals of the state of practice in spacecraft guidance and control.
Acquire a first-hand experience in the emerging principles for a design of a Guidance & Control subsystem.
Acquire the foundations for some prerequisites for follow-on 4000-level courses.
Design a 2-DOF Guidance and Control System architecture.