Principles of Automatic Control and Feedback Systems

Dynamic systems like aircraft and spacecraft require precise control to operate safely and predictably in changing environments. Understanding how to design and analyze these feedback loops is a foundational skill for modern aerospace and systems engineers. This text-based course guides you from the fundamental math of linear systems to designing practical controllers. You will learn how to model physical systems, evaluate stability, and apply classical and modern control techniques to keep systems on track. What you'll learn: - Understand the core principles and advantages of closed-loop feedback systems. - Analyze system stability using Root Locus and Nyquist stability criteria. - Evaluate system performance metrics in both the time-domain and frequency-domain. - Model dynamic systems using transfer functions and modern state-space methods. - Design compensators and controllers to meet specific design requirements. - Apply basic digital control concepts to modern hardware-in-the-loop environments. The journey begins with foundational concepts of system modeling and Laplace transforms before moving into frequency response, stability criteria, and state-space representations. You will work through detailed written examples and step-by-step derivations tailored for beginners. This course is designed for aspiring engineers, students, and tech enthusiasts looking for a solid introduction to control theory. No prior control systems experience is required, though basic calculus and linear algebra are recommended. Start building your understanding of automatic control systems today.