數位控制系統
Digital Control System
| 節 | 週一 |
|---|---|
A 18:30–19:20 | 數位控制系統 EE210 3 節連堂 |
B 19:30–20:20 | |
C 20:30–21:20 |
* 根據陽明交大上課時間表所列
課程目標: 1. 本課程內容為學習數位控制理論與設計方法, 經由應用實例, 建立系統數位控制器設計概念 2. 結合神經網路、機器學習、最佳化之數位控制器設計 3. 修課學生能以電腦或微控制器撰寫程式, 實現數位控制器及數位濾波器設計 課程概述如下: 1. 類比與數位訊號轉換之數理函數理論發展 2. 系統訊號取樣與動態分析 3. 動態系統之Lead/Lag/Lead-Lag/PID+Neural-Network數位控制器設計 4. 極點配置設計和系統狀態估測(Pole-assignment Design and State Estimation) 5. 線性二次最佳控制(Linear Quadratic Optimal Control) 6. 深度強化學習 Deep Reinforcement Learning (DRL) 控制系統 7. 如何將智慧化數位控制理論設計逐步實現在實際工程系統-案例研究: 用於精密溫度控制的PID神經網路數位控制(PID Neural Network Digital Control for Precision Temperature Control)，深度強化學習（DRL）在無人機自主飛行控制的應用(Deep Reinforcement Learning (DRL) for Autonomous Flight Control of Unmanned Aerial Vehicles) Aim: To provide students with an understanding of the fundamentals of Digital Control System as well as the principles of design theory and practice. To provide digital controller implementation guides. Intended knowledge outcomes: - Understanding of basic digital control systems and their relationship to continuous systems. - Understanding of controller/filter design methods based on z-plane. - Understanding of Linear quadratic optimal control - Understanding of Machine Learning digital control Intended skill outcomes: - Transformation from continuous to discrete time domain - Design and implementation of digital controllers (Lead/Lag,Pole-assignment,PID+Neural-Network) - Design and implementation of intelligent digital control
工程數學 , 自動控制(一) 或 線性控制系統(一) Matlab programming
Powerpoint 講義配合課本章節進度課堂講課、互動式討論、學生需對課程內容瞭解程度提出簡要說明
學期作業: 課本章節作業選題 考試狀況: 第一次期中考: Chap. 1,2,3、第二次期中考: Chap. 4,5,6,7、期末考(open book): Chap. 8,9,11 評量方法: 課後作業及平時學期課中表現20%、第一次期中考20%、第二次期中考35%、期末考25%
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction: Digital Control Systems Linear Discrete Time Systems and The Z-Transform |
| 第 2 週 | Linear Discrete Time Systems and The Z-Transform Signal Sampling and Reconstruction |
| 第 3 週 | Linear Discrete Time Systems and Digital Filter Design Signal Sampling and Reconstruction |
| 第 4 週 | Signal Dynamic Response and Stability Analysis |
| 第 5 週 | midterm exam. 1 |
| 第 6 週 | Signal Dynamic Response and Stability Analysis |
| 第 7 週 | Digital Controller Design of Dynamic Systems |
| 第 8 週 | Digital Controller Design of Dynamic Systems |
| 第 9 週 | Pole-assignment design and state estimation |
| 第 10 週 | Pole-assignment design and state estimation |
| 第 11 週 | midterm exam. 2 |
| 第 12 週 | Linear Quadratic Optimal Control |
| 第 13 週 | Linear Quadratic Optimal Control |
| 第 14 週 | Machine learning and Neural Network Digital Control Case study: Aerial Vehicles Control by Deep Reinforcement Learning |
| 第 15 週 | Machine learning and Neural Network Digital Control Case study: PID Neural Network System for Precision Temperature Control |
| 第 16 週 | Final exam. |
Text book: Charles L. Phillips, H. Troy Nagle, “Digital Control System Analysis and Design” Third Edition, Prentice Hall Reference book: -Gene F. Franklin et al, “ Digital Control of Dynamic Systems”, Third edition, -K. Ogata, Discrete-time Control Systems - 2e, Prentice Hall
- 地點
- 工程五館 448室
- 時間
- 周一 14:00~16:00
- 聯絡方式
- EXT：55186 TEL：03 5712121 Email：chengstone@nycu.edu.tw