課程名稱 |
程序控制 Process Control |
開課學期 |
101-2 |
授課對象 |
工學院 化學工程學系 |
授課教師 |
陳誠亮 |
課號 |
ChemE4007 |
課程識別碼 |
504 43100 |
班次 |
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學分 |
3 |
全/半年 |
半年 |
必/選修 |
必修 |
上課時間 |
星期三7,8,9(14:20~17:20) |
上課地點 |
普402 |
備註 |
限重補修(或因擋修而延誤)同學修習。 總人數上限:30人 |
Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1012Process_Control |
課程簡介影片 |
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課程大綱
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課程概述 |
Process Control (Chen, CL)
1. Essentials: Important Terms and Objectives of automatic Process Control
2. Mathematical tools
3. Basic Components of Control Systems (1): Sensors and Transmitters
4. Basic Components of Control Systems (2): Control Valves
5. Basic Components of Control Systems (3): Controllers
6. Basic Components of Control Systems (4): Process Dynamics
7. Analysis of Feedback Control Loops
8. Adjusting Controller Parameters
9. Frequency Response Techniques
10. Fundamentals and Benefits of Cascade Control
11. Some Control Strategies for Productivity and Safety: Selective, Ratio, and Override Control
12. Feed-forward Control: Principles and Applications
13. Control System and Dynamic Simulation: Simulink
Textbook: Smith, C.A. and A. Corripio, 2006, Principles and Practice of Automatic Process Control, 3rd Ed., Wiley.
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Optimization of Chemical Processes
1. Introduction to Optimum Design, and
Optimum Design Problem Formulation
2. Optimum Design Concepts
3. Linear Programming Methods for Optimum Design
4. Numerical Methods for Unconstrained Optimum Design
5. Numerical Methods for Constrained Optimum Design
6. Optimum Design with MATLAB
7. Mixed-Integer Linear Optimization: Methods and Applications
Optimum Design with GAMS
8. Mixed-Integer Non-Linear Optimization: Methods and Applications
9. Classical and Optimization Approaches in Process Syntheses:
甲、 Heat Exchanger Network Synthesis
乙、 Mass Exchanger Network Synthesis
丙、 Water Network and Cooling Water Network Syntheses
10. Deterministic Global Optimization
Textbook: Arora, J.S., 2004, Introduction to Optimum Design, 2nd Ed., Elsevier.
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課程目標 |
1. Understand how the basic components of control systems work
(Controller, Sensor, Valve, Process)
2. Develop dynamic mathematical process models that will help in the
analysis, design, and operation of control systems
3. Master PID feedback controller: design, tuning, troubleshooting
4. Apply a variety of techniques that enhance feedback control, including
cascade control, selective control, override control, feedforward control,
and ratio control
5. Master the fundamentals of dynamic simulation} of process control systems
using MATLAB and Simulink
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參考書目 |
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