
高等程序控制
 (Fall 2021) Class Meeting Times &
Locations:

Goal:
In modern industries, there are many closedloop, largescale
control systems that are highly complex and full of a large
amount of measured variables. The improvement of the process
operation is an important duty of process engineers. Process
control can help process engineers to fulfill this duty. Since
hardware and software platforms are becoming increasingly
powerful, many industrial automation systems today can meet
process control needs of industries. The purpose of this course
is to provide an advanced treatment of the theory and practice
of chemical process modeling and control, for advanced
undergraduate and graduate students. An emphasis of this course
is on modelbased control system design and implementation.

Prerequisites: It is assumed
that the students have had an introductory course in process
control. The course is open to all the postgraduate students.
Some mathematical background and engineering knowledge are
necessary. Also, the course requires only minimal computer
background and MATLAB programming experience although it
certainly is advantageous to have prior exposurenot strictly
required. The SIMULINK simulation package (based on MATLAB) will
be used for dynamic process simulation and control system
development. Most of the homework assignments will require the
use of MATLAB/SIMULINK

Course Structure
 (2021914)
 Introduction: from Simple Feedback Control to
Advanced Process Control
 (2021921)
 Review of Feedback Control (I)
 (2021928)
 Review of Feedback Control (II)
 Assignment #1: Design of Feedback Control Loops (due: 20211017)
 (2021105)
 Review of Feedback Control (III)
 Cascade Control
 (20211012)
 Cascade Control
 Process Dynamic Simulation: Simulink
 Feedforward Control
 (20211019)
 (20211026)
 Feedforward and Ration Control
 Assignment #2: Feedforward Control,
and Cascade Control (due: 20211116)
 Empirical Model Identification
 (20211102)
 Feedforward and Ration Control
 System Identification
 (20211109)
 System Identification
 Multivariable Process Control
 (20211116)
 Multivariable Process Control
 (20211123)
 Multivariable Process Control
 Assignment #3:
Multiloop
Control Design
(due: 202012??)
 ( 20200928)
 ( 20200928, 20201005)
 (20201005, 20201012, 20201019, 20201026)
 Multiloop and Multivariable Control Filtering
 (20201026, 20201109, 20201116, 20201123,
20201130)
 Model Predictive Control
(Linear & Nonlinear)
 Assignment #3:
Multiloop Control and MPC (due: 2020127)
 System Identification
 Linear & Nonlinear
 Parametric & NonParametric
 Model Decomposition
 (20201130, 20201107)
 RealTime Optimization
 Assignment #4:
RealTime Optimization (due: 20201211)
 Process Monitoring (Stochastic Control)
 (20201207,
20201214)

Assignments
 (Due 10172021)
Assignment #1:
Design of
Feedback Control Loops
 (Due 11162021)
Assignment #2: Feedforward Control,
and Cascade Control
 (Due 12??2021)
Assignment #3:
Multiloop Control Design
 (Due 1??2022)
 Grading Distribution
 No quiz will be given. The overall
performance is calculated based on absolute achievement
(assignments) and relative achievement (performance in the
class).
 Assignments (4 to 6 times): 70%
 Participation (class, Q&A): 30%