AE3830 Spacecraft 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.

Prerequisite

ME2801 or EC2300, MA2121 or equivalent.

Lecture Hours

3

Lab Hours

2

Quarter Offered

  • Spring