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
Lecture Hours
3
Lab Hours
2