UCK 360E - Automatic Control I

Course Objectives

I. The concept applies to many systems that stem from a diverse set of aerospace, mechanical, chemical and electronic engineering applications. Learn to design (analyze and synthesize) SISO (single-input-single-output) controllers for a variety problems arising in fields such as aerospace, mechanical systems, chemical plants and electronic systems.

II. Our class focus is on principles of dynamic modeling and controller design for mechanical and mechatronic systems. Based on these models, know how to build mathematical models of more complex systems.

III. Design basic types of controllers, including P, PI, PID.

IV. Develop a solid background for studying more advanced controls and control application topics, such as embedded control systems, robust control, and adaptive control

V. Improve your understanding in realistic modeling and control design with many workshops.

From the computational perspective,
VI. Through out the lectures and homework, you will see (and you will actually build your own skills, too) extensive usage of Matlab and Simulink.

Course Description

Introduction to automatic control systems. Brief history of automatic control. Classification of control systems. Principles of control. Open loop systems. Closed loop systems. Laplace transform method. Properties of Laplace transform. Transfer functions and block diagrams. Signal flow graphs. Analysis of control systems in the time domain. First order systems. Second order systems. Time responses of systems. Steady-state error of systems. State space representation of linear systems. Stability analysis of linear feedback control systems. The concept of stability. Routh Hurwitz stability criterion. The root locus concept. Root locus method. The root locus procedures. Control Design with Root-Locus Method. Preliminary Design Considerations. Lead Compensation. Lag Compensation. Lag-Lead Compensation, P, PI, PD, and PID control methods.