Academic Year |
2025Year |
School/Graduate School |
Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Smart Innovation Program |
Lecture Code |
WSS20301 |
Subject Classification |
Specialized Education |
Subject Name |
モデルベース開発特論 |
Subject Name (Katakana) |
モデルベースカイハツトクロン |
Subject Name in English |
Advanced Model Based Development |
Instructor |
WAKITANI SHIN |
Instructor (Katakana) |
ワキタニ シン |
Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, First Semester, 1Term |
Days, Periods, and Classrooms |
(1T) Mon1-4 |
Lesson Style |
Lecture |
Lesson Style (More Details) |
Online (simultaneous interactive) |
|
Credits |
2.0 |
Class Hours/Week |
4 |
Language of Instruction |
B
:
Japanese/English |
Course Level |
6
:
Graduate Advanced
|
Course Area(Area) |
25
:
Science and Technology |
Course Area(Discipline) |
11
:
Electrical, Systems, and Control Engineering |
Eligible Students |
|
Keywords |
Model-Based Development, System Modeling, Control System Design, PID Control |
Special Subject for Teacher Education |
|
Special Subject |
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Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students) | |
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Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students) | |
Class Objectives /Class Outline |
The lecture covers the fundamentals of modeling in the field of Model-Based Development (MBD). The main topics covered in this lecture are as follows:
(1) Basic concepts of Model-Based Development (2) Fundamentals of plant modeling (3) Basics of controller modeling (4) Control system design based on MBD |
Class Schedule |
lesson1 Outline of Model-Based Development (MBD), basic concept of modeling (Product development based on backcasting thinking) lesson2 Modeling basics [1] (Expression by differential equation) lesson3 Modeling basics [2] (Transfer function, continuous-time state-space model) lesson4 Modeling basics [3] (FMI standard and FMU) lesson5 Modeling basics [4] (Implementation of plant models (PC-based exercises)) lesson6 Basics of controller modeling [1] (Structure of control systems) lesson7 Basics of controller modeling [2] (PID control model 1) lesson8 Basics of controller modeling [3] (PID control model 2) lesson9 Basics of controller modeling [4] (Model matching control 1) lesson10 Basics of controller modeling [5] (Implementation of controller models (PC-based exercises)) lesson11 Control system design [1] (Plant model design for industrial systems 1) lesson12 Control system design [2] (Plant model design for industrial systems 2) lesson13 Control system design [3] (Control system design for industrial systems 1) lesson14 Control system design [4] (Control system design for industrial systems 2) lesson15 Control system design [5] (Control system design for industrial systems 3) |
Text/Reference Books,etc. |
PowerPoint materials are used in the lecture. |
PC or AV used in Class,etc. |
Handouts, Microsoft Teams |
(More Details) |
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Learning techniques to be incorporated |
Post-class Report |
Suggestions on Preparation and Review |
Assignments and exercises will be provided for each topic. It is effective to study each topic while keeping the following points in mind.
lesson1 - lesson5: Fundamentals of Plant Modeling Conduct modeling based on differential equations. In particular, utilize analogies to develop a unified perspective on modeling across various domains.
lesson6 - lesson10: Basics of Controller Modeling Understand how each function of a PID controller interacts with the plant model. Additionally, based on this understanding, learn the tuning methods of PID parameters using model matching and partial model matching.
lesson11 - lesson15: Control System Design Using industrial systems as examples, apply acquired knowledge to independently execute the entire process from system modeling to control model design. |
Requirements |
It is recommended to have completed lectures on the fundamentals of differentiation and integration, linear algebra, and system control engineering.
Since MATLAB/Simulink (Version 2024a) will be used for exercises, students who are unable to install the software on their PC should consult the instructor in advance. |
Grading Method |
Exercises (including computer exercises) 30%, final report 60%, and Attitude towards participation 10% |
Practical Experience |
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Summary of Practical Experience and Class Contents based on it |
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Message |
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Other |
Computer exercises will be given as part of the lecture. Bring your computer on the designated day. |
Please fill in the class improvement questionnaire which is carried out on all classes. Instructors will reflect on your feedback and utilize the information for improving their teaching. |