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Using SIR Epidemic Modeling and Control to Teach Process Dynamics and Control to Chemical Engineers.

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Summary

This study introduces control systems engineering topics using computer modeling assignments related to the COVID-19 pandemic. These assignments leverage MATLAB and Simulink for undergraduate process dynamics and control courses.

Keywords:
Process control applicationscomputer-based control educationcontrolepidemic modelingmodel-based control

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Area of Science:

  • Engineering Education
  • Control Systems

Background:

  • The COVID-19 pandemic presented unique opportunities for applying control systems concepts in undergraduate engineering.
  • Traditional curricula can be enhanced by integrating real-world, significant global events.

Purpose of the Study:

  • To describe computer modeling assignments for teaching process dynamics and control.
  • To utilize the COVID-19 pandemic as a case study for control systems education.

Main Methods:

  • Developed two MATLAB/Simulink based computer modeling assignments.
  • Applied concepts like dynamic modeling, linearization, state-space, transfer functions, PID, and Internal Model Control.
  • Taught CHE 461: Process Dynamics and Control at Arizona State University.

Main Results:

  • Successfully integrated advanced control systems topics into an undergraduate curriculum.
  • Demonstrated the applicability of modeling and control principles to a unique "process" system (the pandemic).

Conclusions:

  • Computer modeling assignments based on significant global events can effectively teach control systems principles.
  • The COVID-19 pandemic served as a relevant and engaging "process" for engineering students.