CH EN 436

Download as PDF

Process Control and Dynamics

Chemical Engineering Ira A. Fulton College of Engineering

Course Description

Process systems, associated control systems, and instrumentation. Use of Laplace transforms and complex variables.

When Taught

Fall

Min

3

Fixed

3

Fixed

3

Fixed

0

Title

Complex Problem Solving (ABET Student Outcome 1)

Learning Outcome

Students will be able to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.

Title

Engineering Design (ABET Student Outcome 2)

Learning Outcome

Students will be able to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.

Title

Critical Thinking (BYU Course Objective)

Learning Outcome

Students will exhibit critical and creative thinking skills for analysis and evaluation of problems and cause-effect relationships.

Title

Knowledge and Learning (ABET Student Outcome 7)

Learning Outcome

Students will be able to acquire and apply new knowledge as needed, using appropriate learning strategies.

Title

Engineering Intuition (BYU Course Objective)

Learning Outcome

Students will be able to make order of magnitude estimates, assess reasonableness of solutions, and select appropriate levels of solution sophistication.

Title

Feedback Control Equipment (BYU Course Objective)

Learning Outcome

Students will be able to design a simple feedback loop to control process equipment.

Title

Transient Mass Balance (BYU Course Objective)

Learning Outcome

Students will be able to set up and solve transient mass balances.

Title

Transient Energy Balance (BYU Course Objective)

Learning Outcome

Students will be able to set up and solve transient energy balances.

Title

Role of Valves (BYU Course Objective)

Learning Outcome

Students will have a qualitative understanding of the role of valves in process control.

Title

Feedback Control Loop Tuning (BYU Course Objective)

Learning Outcome

Students will be able to tune a single feedback control loop.

Title

Process Control Terminology and Strategies (BYU Course Objective)

Learning Outcome

Students will be able to define process control terminology and understand the following control strategies: feed-back control, feed-forward control, and cascade control; as well as the difference between linear and nonlinear systems.

Title

Fitting Linear Models (BYU Course Objective)

Learning Outcome

Students will be able to fit data from step or pulse tests to linear models.

Title

Transfer Functions (BYU Course Objective)

Learning Outcome

Students will understand the concept of a transfer function in classical control and be able to use transfer functions (Laplace domain) to approximate the behavior of control loops and their components.

Title

Closed-loop Behavior (BYU Course Objective)

Learning Outcome

Students will be able to predict the closed-loop behavior and evaluate the stability of simple control loops.

Title

Block Diagrams (BYU Course Objective)

Learning Outcome

Students will be able to use block diagrams to help determine system response characteristics.

Title

Process Variables (BYU Course Objective)

Learning Outcome

Students will understand process variables (e.g., P, T, flow rate, conc.) including procedures and equipment for their measurement.

Title

Control System Operation (BYU Course Objective)

Learning Outcome

Students will be able to operate a process control system and understand the components of such a system.

Title

Simulation Software (BYU Course Objective)

Learning Outcome

Students will be able to simulate the time response of processes with manual and automatic control.

Title

Multiple Control Loops (BYU Course Objective)

Learning Outcome

Student will be able to design control strategies for multiple interacting control loops.

Title

Historical Data (BYU Course Objective)

Learning Outcome

Students will be able to identify process dynamics, and improve control strategies, using historical process data.