CONTROL SYSTEM

CONTROL SYSTEM

The "Control Systems" course provides a comprehensive introduction to the theory and practice of control systems, which are essential for regulating and automating processes in engineering applications. Control systems play a critical role in industries such as aerospace, automotive, manufacturing, and robotics. You will start by understanding the basic principles of control systems, including feedback control, stability, and transient response. The course will cover different types of control systems, including proportional-integral-derivative (PID) controllers, state-space models, and digital control systems. Key topics include system modeling and representation, transfer function analysis, frequency response analysis, and root locus techniques for control system design. You will learn how to analyze the stability and performance of control systems using techniques such as Bode plots and Nyquist criteria. The course will also delve into advanced topics such as optimal control theory, adaptive control, and robust control techniques. Practical applications of control systems in real-world scenarios, including process control, motion control, and automation, will be discussed through case studies and examples. Through theoretical lessons, practical exercises, and simulation projects, you will develop the skills needed to design, analyze, and optimize control systems for various engineering applications.