Course Syllabus

Course Information：

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2026	360828	Control System Lab.	1	1.0	3	★	Shih-Gang Chen	4EE4A	20	0	預選限20人,5選4實習

Course Plan：

Instructor	Shih-Gang Chen　Office Hours
Email	chensg@ntut.edu.tw
Last Updated	2026-07-22 22:16:00
Course Objective	各種時域響應之電腦繪圖，矩陣各項特性分析與應用，根值軌跡圖，波德圖，奈奎士圖，PID控制器之設計，Lead-Lag補償器之設計，控制器時域及頻域分析，控制器在狀態空間之設計，實例探討，書報研讀。 Course Title:Automatic Control Practice Description:This course is first to introduce the basic concepts of control systems and the mathematical background, second, state the transfer function, block diagram and signal flow graph, third, discuss the mathematical modeling of control systems and elements, and forth, describe the time-domain analysis, root locus techniques and frequency-domain of control systems, and then to measure the character of control systems, Finally, the design of control system will be introduced.
Course Schedule	Week 1: Course Overview and Introduction Week 2: Introduction of MATLAB Week 3: Introduction of Simulink Week 4: Modeling in the Frequency Domain and Time Domain Week 5: Time Responses Analysis and Steady-State Errors Week 6: Root Locus Analysis Week 7: PID Controller Design Week 8: Frequency Response Analysis Week 9: Frequency Response-Compensation Week 10: Frequency Response-Nyquist Plot and Stability Week 11: Converter Control Applications Week 12: Converter Control Applications Week 13: Open Loop Speed Control of Three Phase PMSM Week 14: Closed Loop Speed Control of Three Phase PMSM Week 15: Open Lab. Week 16: Final Project
Evaluation and grading policy	Attendance/learning attitude 25% Lab reports 45% Final report 30%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes 1. Norman S. Nise, Control Systems Engineering, 8/e, John Wiley & Sons, 2019. 2. 控制系統設計與模擬：使用MATLAB/SIMULINK，李宜達編著。 3. Self-made PPT
The access to curricular consultation	1. Please contact me via email (chensg@mail.ntut.edu.tw) 2. 316 Lab. TA
Expanding teaching and resources	● 數位科技融入 (Digital Technology Integration) 運用生成式AI、VR/AR、IoT、IRS等新興科技輔助教學與評量。 Utilizes emerging technologies such as Generative AI, VR/AR, IoT, and IRS (Interactive Response Systems) to facilitate teaching and assessment. ● 數位教材資源應用 (Application of Digital Resources) 採用影音多媒體或具開放授權之資源（如OCW、開放教科書）作為主要或輔助教材。 Adopts multimedia or open-licensed resources (e.g., OCW, Open Textbooks) as primary or supplementary teaching materials.
The course corresponds to the SDGs	SDG1：消除貧窮（No Poverty） SDG2：消除飢餓（Zero Hunger） SDG7：可負擔的潔淨能源（Affordable and Clean Energy） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
Does the course incorporate AI	● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
Note	彈性學習/Flexible Learning 教師需於「課程進度」填寫 1 至 16 週課程內容，並於下列欄位填寫 17 至 18 週彈性學習內容。 一、類別 (可複選) 學生分組及討論 二、內容 (1)第 17 週:為開放實驗室。 (2)第 18 週:為開放實驗室。 三、時數: 總共 6 小時。 四、學習成果: 課程結束前各組須繳交第 17 ~18週之期末簡報檔，作為評量依據。 五、評量比例 書面簡報:20%