Process Modeling and Control
This course covers process frequency analysis, enhanced control design, first principle modeling, and empirical modeling approaches. Students are required to understand the frequency characteristics and frequency stability criterion using Bode diagram and Nyquist diagram. Enhanced control approaches including feed-forward control, ratio control, cascade control, Smith predictor are introduced. Students are exposed to digital computer control techniques with the understanding of z-transform and digital control design. Process modeling study examines the model formats in both continuous and discrete-time forms. Through a series of problem sets, the students gain further exposure to key systems engineering software, including MATLAB and SIMULINK. PREREQ: ENGR 3267 (lec 3, tut 0.5, lab 0.5) cr 3.