Upon the successful completion of the course, students should be able to
- Identify and classify process variables as manipulated, controlled or disturbance depending on the particular control objective and the specified control algorithm,
- Derive unsteady-state system models in order to predict dynamic responses of chemical engineering systems,
- Construct transfer function models based on the dynamic system model for chemical engineering systems using Laplace transforms and when necessary appropriate linearization techniques,
- Identify transfer functions of systems based on data from their open loop response,
- Analyze the open loop response of common systems to standard process inputs such as steps, ramps and sinusoids,
- Describe the structure of PID controllers and their transfer functions,
- Define and discuss the equipment needed to implement process control algorithms such as actuators, transducers and digital controllers as well as signal transmission,
- Construct the closed loop transfer function of control loops using block diagram algebra,
- Evaluate the stability and performance of closed loop feedback controllers using the generalized stability criterion and the Bode stability criterion,
- Design feedback PID controllers based on identified or derived system models using available tuning algorithms,
- Use Matlab® and Simulink® simulation software packages for analyzing dynamic behavior of closed and open loop systems,
- Describe advanced process control algorithms such as cascade, ratio, inferential and feed-forward control,
- Demonstrate and enhance the ability to work effectively with their peers.