Catalog Description: Analysis and design of process control systems in environmental engineering applications including process dynamics, instrumentation and control system configuration
Pre-requisite(s):
MAP 2302 Differential Equations
CWR 3201 Fluid Mechanics
EGN 3343 Thermodynamics
EGN 3373 Principles of Electrical Engineering
CHM 2045 / CHM 2046 / CHM 2046L Freshman Chemistry
ENV 4561 Environmental Engineering Process Design (Co-requisite)
Designation: Required
Contribution of course to meeting the Professional Component:
| Math & Science Topic | 0.0 credit hours |
| Engineering Topics | 3.0 credit hours |
| General Education Topics | 0.0 credit hours |
| Class Schedule: | Laboratory Schedule: | ||
| Number of sessions per week | 3 | Number of sessions per week | 0 |
| Duration of each session | 50 mins | Duration of each session | N/A |
Course Objectives
· Analysis and design of process control systems in environmental engineering
applications.
· Study of process dynamics for first-order, higher-order
and dead time systems using LaPlace domain and numerical methods.
· Review
of instrumentation requirements for measurements and control devices.
·
Examination of alternative control configurations.
Topics:
· Solution of differential equations using LaPlace domain methods.
·
Recognition of non-linearities. Linearization of non-linear terms.
· Characterization
of step, pulse, impulse, ramp, sine and exponential forcing functions.
·
Analysis of systems with dead time.
· Emphasis on relation between roots
of characteristic equation and nature of time domain response.
· Characterization
of the response of first, second (including overdamped, critically damped and
underdamped) and higher-order systems to the forcing functions previously noted.
· Creation of state variables to convert high-order derivatives to systems
of first-order. Analysis of coupled systems of ordinary differential equations
· Simulation of differential equations using Euler's method of integration.
·
Modeling of processes encountered in environmental engineering practice.
·
Material balances; reactors, mixing tanks, variable volume basins.
· Energy
balances (thermal energy); reactors, heat exchangers.
· Momentum balances;
acceleration of fluid flow in pipes.
· Behavior of interacting and non-interacting
systems.
· Process identification by experimental testing (time domain
methods).
· Control system configuration: open loop, feed forward, environmental,
feed forward/feedback, cascade.
· Block diagram representation. Block
diagram algebra.
· PID diagrams and ISA conventions.
· Control system
hardware considerations. Measurement devices for flow, temperature, pressure,
liquid level, concentration. Final control elements; valves, pumps, chemical
feed systems. Saturation of measurement devices for final control elements
·
Characterization of advantages and disadvantages of various controller actions;
on/off, proportional, integral, derivative. Controller tuning.
· Stability.
Textbook(s):
· Smith and Corripio. Principles and Practice of Automatic Process Control.
2nd Edition. John Wiley & Sons. 1997.
· Dietz, J.D. Course Notes.
Reference(s):
· N/A
Relationship of the
course to Program Outcomes:
Environmental Engineering Outcomes
1. Graduates will solve problems that involve
differential and integral calculus, differential equations, analytical and numerical
solutions, and statistics.
2. Graduates will solve problems involving topics
from chemistry such as kinetics.
3. Graduates will demonstrate the ability to
analyze and interpret data.
4. Graduates will be exposed to real-world problems
and solutions.
Environmental Engineering Program Criteria
1. Graduates will demonstrate
proficiency in mathematics through differential equations, solved both analytically
(LaPlace domain methods) and numerically.
2. Graduates will demonstrate proficiency
in topics from chemistry (kinetics).
3. Graduates will demonstrate proficiency
in analysis and interpretation of data (time domain methods for process identification,
including application of statistical methods for parameter estimation).
4. Graduates
will demonstrate an ability to perform engineering design (selection of control
configuration and controller type).