Course Title : Process Control

Code 70480
Course Year 3rd year
Term 2016・1st semester
Class day & Period Wednesday・2nd Period
Location W201/The 1st seminar room
Credits 2
Restriction No Restriction
Lecture Form(s) Lecture
Language Japanese
Instructor Graduate School of Engineering, Professor Shinji Hasebe, Professor Masahiro Ohshima, Assistant Professor, Sanghong Kim

Course Description

Process control is used for operating the production processes in chemical and the steel industries. Pressure, temperature, liquid level and flow rate are major process variables to be controlled automatically (i.e., computers). Understanding the process dynamics is the first step to develop a good control system. Then, as the second step, the optimal selection and manipulation of the process input variables has to be determined. The class teaches to derive the physico-chemical dynamic models of chemical processes and transfer function models, which are obtained by taylor expansion of the physico-chemical models. Then, the design scheme of controller is described. To make the understanding easier, computer simulation exercises using Matlab and Simulink are offered. 1.

Grading

The score is determined by considering the quality of homeworks, midterm exam, term-end exam and final project.

Course Goals

The goal of the class is to educate the students to be able to develop the dynamic process model, design the process controller and to analyze the control performance so as to design the optimal process control systems.

Course Topics

Theme Class number of times Description
Introduction of Process Control 1 Showing several examples, the necessity, objectives, and importance of process control are taught. Some issues on process control design are given. The basic design procedure of developing the control system by solving the issues are over-viewed.
Development of Dynamic Models 1 The first step of developing the good performance process control systems is to understand the dynamic behaviors of the process to be controlled. Here, we learn how to develop the physico-chemical dynamic process model(the 1st principle model) from mass, momentum, heat balance equations so as to describe the dynamic behavior appropriately. Then, the linear transfer models are derived by talyor expansion of the 1st principle model.
Exercise with Matlab for learning dynamic behavior 2 After learning the basics of Matlab and Simulink, the dynamic behaviors of some chemical process are simulated on the computer. The 1st principle model and the transfer models of the process are used to perform the simulation and to learn the non-linearity. Then, simulation continues to see the behavior of closed loop system and to learn the difficulty in controlling the dead-time process and higher-order processes.
Stability and Performance of Control System 1 Based on the transfer function model, the stability theory of the control systems is learned. The simulation experience of difficulty in controlling the dead-time and higher-order proceses are rationalized by the stability theory.
Midterm Exam 1 To know the level of understanding, the mid-term exam is conducted. After two weeks from the exam, the answers are open and the weakness points of understanding are pointed out.
PID control system - Theory 3 The most popular controller in process industries is PID (Proportional, Integral, and Derivative) controller. The basic features of three elements (P, I, D) are explained. After understanding basic feature of PID controller, extensional controller systems such as Smith predictor, two freedom degree of control systems are also taught.
PID control system - Exercise 3 Simulating the control system with Matlab and Simulink, the design and tuning schemes of PID controller is learned.
Design of Multi-loop control sytems 1 As a control system dealing with two inputs and two outputs process, multi-loop control system is introduced and Internal Model Control (IMC) is extended to design the multi-loop control system.
Control System Design Overall Exercise of Process Control Design. Starting with the 1st principle model of a chemical/bio process, two inputs two outputs control system (multi-loop controller) is designed and tuned by using Matlab and Simulink
Feed-back time Presenting and discussing the results of the final term projects are conducted.

Textbook

Process Control System, Ohshima, CORONA Publishing

Textbook(supplemental)

Process Control Engineering, Hashimoto, Hasebe, Kano, Asakura book store,

Prerequisite(s)

Basic understanding of linear algebra, ordinal differential equations and Laplace transform

The final term project will be given.

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Additional Information