Learning outcomes of the course unit:
Student will learn control design procedures for a dynamic system based on a state space model and its verification by simulation in Matlab/Simulink environment, will understand the respective practices and procedures and will be able to apply the acquired knowledge in the control of various processes in aerospace field. Introduces state-space representation of dynamic systems and state-space approach to feedback control systems. Covers modelling approaches for dynamic systems – data driven and first principle ones, nonlinear models, linearization. Design methods are focused on state space controller design including pole placement, linear quadratic regulator, state estimation, Kalman filter, LQG. Basics of digital control systems and digital implementation of controllers. Performance limitations and robustness. Extensive use of computer-aided control design and simulation (in Matlab&Simulink environment). Applications to various aerospace-motivated control problems, including basic DC motor (positional and speed servo), satellite attitude control, and navigation guidance (reference tracking) are considered throughout the course
