¼ö¾÷°èȹ¼­(Class syllabus)

 

2005Çг⵵ 1Çбâ(2005 1st semester)

 

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(course number)

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±³°ú¸ñ¸í
(course title)

ÇÐÁ¡/½Ã°£
(credit/hour)

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66P112

01

°øÁ¤Á¦¾î

3.0 / 3

±è¿µÇÑ

±³¼öÇнÀ¸ñÇ¥
(course objective)

È­ÇаøÁ¤ÀÇ ±âº» Ư¼ºÀÇ ÇØ¼®¹æ¹ýÀ» ÀÌÇØ½ÃŰ°í °øÁ¤Á¦¾î¿¡ ¾î¶»°Ô Ȱ¿ëÇÒ °ÍÀΰ¡¸¦ °øºÎÇÏ¸ç ½ÇÁ¦ Á¦¾î¿¡¼­ ¹ß»ýÇÏ´Â ¹®Á¦¸¦ »ç·Êº°·Î ºÐ¼®ÇÏ¿© ÇØ°áÇÒ ¼ö ÀÖ´Â ´É·ÂÀ» ¹è¾çÄÚÀÚ ÇÔ.
For the understanding of analizing method of basic principle of chemical process and the improvement of application ability, this course increases the capability of problem solving encountered in field applciations.

±³     Àç
¹×
Âü°í¹®Çå
(course texts)

1. Matlab °øÁ¤Á¦¾î (¿©¿µ±¸ ¿Ü, 2004 ¾ÆÁøÃâÆÇ)
2. Control System Design Using MATLAB ( Shahian & Hassul, Prentice-Hall, 1993
¹Ì±¹)
3. Process Dynamics and Control ( D.E.Seborg et al.
Àú, Wiley, 1989 ¹Ì±¹ )
4. Proc. Sys. Anal. Control ( Cougnowr & Koppel
Àú, McGraw-Hill, 1965 ¹Ì±¹ )

 

°­Àdz»¿ë(contents)

ÁÖº°
(date)

ÁÖÁ¦
(topic)

°­Àdz»¿ë
(contents)

¼ö¾÷¹æ¹ý
(method of teaching)

°úÁ¦¹°
(homework)

1

Á¦¾îÀÇ ±â´É function of process control

1. °øÁ¤¿Ü¶õÀÇ Á¦¾î disturbance
2.
¾ÈÁ¤¼ºÀÇ È®¸³ stability
3.
°øÁ¤ÃÖÀûÈ­ optimization

°­ÀǽÄ
lecture

P. 18, 1¹ø

2

¼³°è½Ã À¯ÀÇ»çÇ× Design considerations

1. Á¦¾îº¯¼öÀÇ ºÐ·ù control variables
2.
¼³°è¿ä¼Ò design elements
3.
Á¦¾î°èȹ control strategy

°­ÀǽÄ
lecture

p. 18, 2¹ø

3

Á¦¾î¿ë ±â±â ¼³°è hardware design

1. Á¦¾î±â±âÀÇ Á¾·ù classification
2.
µðÁöÅÐ Àü»ê±âÀÇ Á¦¾î¿¡ÀÇ ¿ëµµ
computer applciation in control
3.
±âŸ Á¦¾î±â±â
miscellaneous hardware

°­ÀǽÄ
lecture

p. 18, 4¹ø

4

¼öÇÐÀû ¸ðµ¨¼³°è mathematical model design

1. ¼öÇÐÀû ¸ðµ¨ÀÇ Çʿ伺 necessity
2.
»óꝼö state variables
3.
»óÅÂ½Ä state equations

°­ÀǽÄ
lecture

p. 88, 1¹ø

5

¼öÇÐÀû¸ðµ¨È­ mathematical modeling

1. Áö¿¬½Ã°£ time delay
2.
¸ðµ¨È­ÀÇ ³­Á¡ modeling problem

°­ÀǽÄ
lecture

p. 88, 3¹ø

6

Á¦¾î¼³°è¿Í ¸ðµ¨ control design and model

1. ÀÔ·Â Ãâ·Â ¸ðµ¨ input-output model
2.
°øÁ¤ÀÇ ÀÚÀ¯µµ degree of freedom

°­ÀǽÄ
lecture

p. 88, 7¹ø

7

¼öÄ¡¸ð»ç¿Í ¼±ÇüÈ­ numerical simulation and linearization

1. Àü»ê±âÀÇ ¼öÄ¡¸ð»ç computer simulation
2.
¼±ÇüÈ­ linearization
3.
´Ùº¯¼öÀÇ ¼±ÇüÈ­ multi-variable linearization

°­ÀǽÄ
lecture

p. 53, 10¹ø

8

Áß°£½ÃÇè mid-term exam

 

 

 

9

¶óÇö󽺺¯È¯ Laplace transformation

1. ¶óÇÃ¶ó½º º¯È¯ÀÇ Á¤ÀÇ
definition of Laplace transformation
2.
±âº»ÇÔ¼öÀÇ º¯È¯ transformation of basic function
3.
¶óÇÃ¶ó½º º¯È¯ÀÇ Çʿ伺
necessity of Laplace transformation

°­ÀǽÄ
lecture

p. 51, 3¹ø

10

¶óÇö󽺺¯È¯2 Laplace transformation 2

1. ¹ÌºÐÀÇ º¯È¯ derivative transformation
2.
±âº»ÇÔ¼öÀÇ º¯È¯ basic transforamtion

°­ÀǽÄ
lecture

p. 51, 4¹ø

11

¼±Çü¹Ì¹æÀÇ ÇØ solution of linear differentail equation

1. ¹ÌºÐÀÇ º¯È¯ derivative transformation
2.
ÀûºÐÀÇ º¯È¯ integral transformation
3.
ÃÖÁ¾Ä¡, ÃÖÃÊÄ¡ Á¤¸® fianl and initial theorem

°­ÀǽÄ
lecture

p. 52, 6¹ø

12

Àü´ÞÇÔ¼ö transfer fuction

1. Àü´ãÇÔ¼öÀÇ Á¤ÀÇ definition of transfer function
2.
Àü´ÞÇÔ¼öÀÇ Æ¯¼º characteristic of transfer function
3.
¼±Çü¹Ì¹æÀÇ ÇØ solution of linear differential equation

°­ÀǽÄ
lecture

p. 129, 5¹ø

13

1Â÷°èÀÇ Á¦¾î¼³°è control design of 1st order system

1. 1Â÷°è·Î Ç¥½ÃµÇ´Â °øÁ¤ 1st order process
2. 1
Â÷°èÀÇ Æ¯¼º characteristic of 1st order process
3.
Æú°ú Á¦·Î
pole and zero

°­ÀǽÄ
lecture

p. 170, 2¹ø

14

2Â÷°èÀÇ Á¦¾î¼³°è control design of 2nd order system

1. 2Â÷°èÀÇ µ¿Æ¯¼º dynamics of 2nd order process
2.
º»ÁúÀû 2Â÷°è intrinsic 2nd order process
3. 2
Â÷°èÀÇ Á¦¾î control of 2nd order process

°­ÀǽÄ
lecture

p. 213, 8¹ø

15

ºÎÁ·°¨¼è 2Â÷°èÀÇ ¼³°è under-damped 2nd order process design

1. 2Â÷°èÀÇ Æ¯¼ºÄ¡ pole of 2nd order process
2. 2
Â÷°èÀÇ ¸ðµ¨ÃßÁ¤ modeling of 2nd order process

°­ÀǽÄ
lecture

p. 214, 11¹ø

16

±â¸»½ÃÇè final exam

 

 

 

¼ºÀûÆò°¡¹æ¹ý
(method of evaluation)

Ãâ¼® 10Á¡, Áß°£½ÃÇè 40Á¡ ±â¸»½ÃÇè 40Á¡, °úÁ¦¹° ¹× Æ÷Æ®Æú¸®¿À 10Á¡À¸·Î ȯ»êÇÏ¿© ÃÖÁ¾¼ºÀûÀ» °è»êÇÔ.
Attendance 10%, mid and final exam 40% each and report and portfolio 10%

±â Ÿ
(etc.)