This course provides a comprehensive introduction to process dynamics and control, a critical area in chemical and process engineering that ensures safe, stable, and efficient operation of industrial systems. The rationale for this course stems from the increasing demand for engineers who can model dynamic behavior, analyze system responses, and design control strategies that optimize process performance. The focus of the course begins with a review of Laplace transforms and their application in solving ordinary differential equations, forming the mathematical foundation for dynamic analysis. Students are introduced to the principles of process dynamics, transfer functions, and the behavior of low- and high-order systems. The course then transitions into core process control topics including system identification, instrumentation, automation, and the theoretical basis for feedback control. Emphasis is placed on closed-loop control systems, stability analysis, controller tuning methods, and frequency response techniques such as Bode and Nyquist plots. Through a combination of theory, practical examples, and real-world case studies, students gain a deep understanding of how to analyze, model, and control dynamic systems. Upon completion of the course, students will be able to derive and interpret transfer functions, assess dynamic system behavior, design and tune feedback controllers, and evaluate system stability using classical control methods. These skills are essential for ensuring process reliability, optimizing performance, and preparing students for advanced coursework or careers in process engineering, automation, and control system design.
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