¶óÆæÆ®¦¢Ä«Æä¦¢ºí·Î±×¦¢´õº¸±â
¾ÆÄ«µ¥¹Ì Ȩ ¸í»çƯ°­ ´ëÇבּ¸½Ç޹æ Á¶°æ½Ç¹« µ¿¿µ»ó°­ÀÇ Çѱ¹ÀÇ ÀüÅëÁ¤¿ø ÇÐȸº° ³í¹®
ÇÐȸº° ³í¹®

Çѱ¹°Ç¼³°ü¸®ÇÐȸ
Çѱ¹°ÇÃà½Ã°øÇÐȸ
Çѱ¹µµ·ÎÇÐȸ
Çѱ¹»ý¹°È¯°æÁ¶ÀýÇÐȸ
Çѱ¹»ýÅÂÇÐȸ
Çѱ¹¼öÀÚ¿øÇÐȸ
Çѱ¹½Ä¹°ÇÐȸ
Çѱ¹½Ç³»µðÀÚÀÎÇÐȸ
Çѱ¹ÀÚ¿ø½Ä¹°ÇÐȸ
Çѱ¹ÀܵðÇÐȸ
Çѱ¹Á¶°æÇÐȸ
Çѱ¹Áö¹Ý°øÇÐȸ
Çѱ¹ÇÏõȣ¼öÇÐȸ
Çѱ¹È¯°æ»ý¹°ÇÐȸ
Çѱ¹È¯°æ»ýÅÂÇÐȸ

Çѱ¹»ý¹°È¯°æÁ¶ÀýÇÐȸ / v.8, no.3, 1999³â, pp.152-163
¿Â¼ö³­¹æ½Ã½ºÅÛ ¿Â½ÇÀÇ ¿ÂµµÁ¦¾î ½Ã¹Ä·¹À̼Ç
( A Simulation of Temperature Control of Greenhouse with Hot-Water Heating System )
Á¤Å»ó;ÇÏÁ¾±Ô;¹Î¿µºÀ; ÁøÁÖ»ê¾÷´ëÇб³ ±â°è°øÇаú;³óÃÌÁøÈïû ¿ø¿¹¿¬±¸¼Ò ½Ã¼³Àç¹è°ú;°æ»ó´ëÇб³ ³ó¾÷±â°è°øÇаú;
 
ÃÊ ·Ï
¿Â¼ö³­¹æ½Ã½ºÅÛ ¿Â½ÇÀÇ µðÁöÅÐ ¿ÂµµÁ¦¾î ¼ö½Ä¸ðÇüÀ» ¼ö¸³Çϰí, ÀÌ ¼ö½Ä¸ðÇüÀ» ÀÌ¿ëÇÏ¿© Á¦¾î½Ã¹Ä·¹À̼ÇÀ» ½Ç½ÃÇÏ¿© ÃÖÀûÀÇ ¿ÂµµÁ¦¾î ¹æ¹ýÀ» ±¸¸íÇÏ¿´´Ù. ÀÌ¿ëµÈ Á¦¾î±â¹ýÀº Á¾·¡ÀÇ ¿Â¼ö¿Âµµ ÀÏÁ¤ °ø±ÞON-OFF Á¦¾î, ºñ·ÊÁ¦¾î, PI Á¦¾î, PID Á¦¾î±â¹ýÀ̾úÀ¸¸ç, ½Ã¹Ä·¹À̼ÇÀ» ÀÌ¿ëÇØ Á¦¾î±â¹ýº° Á¦¾î¼º´ÉÀ» ºñ±³ ºÐ¼®ÇÏ¿´´Ù. ´ë»óÀ¯¸®¿Â½ÇÀÇ ½Ç³»¿Âµµ( T$_{i}$ )¿¡ °üÇÑ µðÁöÅÐ Á¦¾î¼ö½Ä¸ðÇüÀº °ø±Þ¿Â¼ö¿Âµµ( T$_{w}$ )¿Í ¿Ü±â¿Âµµ( T$_{o}$ )°¡ °ü·ÃµÈ T$_{i}$($textsc{k}$£«1)£½ 0.851.T$_{i}$($textsc{k}$)£«0.055.T$_{w}$($textsc{k}$)£«0.094.T$_{o}$ ($textsc{k}$)·Î ³ªÅ¸³µ´Ù. ¿Â½ÇÀÇ ½Ç³»¿ÂµµÁ¦¾î ½Ã¹Ä·¹À̼ÇÀ» ½Ç½ÃÇÑ °á°ú Á¾·¡ÀÇ ¿Â¼ö¿Âµµ ÀÏÁ¤°ø±Þ ON-OFF Á¦¾î, P Á¦¾î, PI Á¦¾î,PID Á¦¾îÀÇ Á¤Á¤½Ã°£, ¿À¹ö½¸Æ®, Á¤»ó¿ÀÂ÷´Â °¢°¢ ¹«ÇÑ, 3.5$0^{circ}C$, 3.5$0^{circ}C$ / 30ºÐ, 2.37$^{circ}C$, 0.51$^{circ}C$ / 21ºÐ, 0.0$0^{circ}C$, 0.23$^{circ}C$ / 18ºÐ, 0.0$0^{circ}C$, 0.23$^{circ}C$·Î ³ªÅ¸³µÀ¸¸ç, ¿Â¼ö³­¹æ½Ã½ºÅÛ ¿Â½ÇÀÇ ¿ÂµµÁ¦¾î¿¡ °¡Àå ÀûÇÕÇÑ Á¦¾î±â¹ýÀº PI¿Í PIDÁ¦¾îÀÎ °ÍÀ¸·Î ³ªÅ¸³µ´Ù ¶ÇÇÑ ¹ÌºÐÀ̵æÀº ¿Â½ÇÀÇ ³­¹æ°è¿¡ °ÅÀÇ ¿µÇâÀ» ¹ÌÄ¡Áö ¾ÊÁö¸¸ ÀûºÐÀ̵æÀº Å« ¿µÇâÀ» ¹ÌÄ¡´Â °ÍÀ¸·Î ³ªÅ¸³µ´Ù. ³ªÅ¸³µ´Ù.
It is required to analyze the controlled response of air temperature in greenhouse according to control techniques for precise control. In this study, a mathematical model was established for air heating of greenhouse with hot-water heating system The parameters of the model were decided by regression analysis using reference data measured at the greenhouse being heated In the simulation for the digital control of air temperature in the greenhouse, the mathematical model to evaluate the control performances was used. Tested control methods were ON-OFF contpol, p control, rl control and PID control. The mathematical model represented by inside air temperature ( T$_{i}$), hot-water temperature (T$_{w}$) in heating pipe and outside air temperature (T$_{o}$) was expressed as a following discrete time equation ; T$_{i}$($textsc{k}$£«1)£½ 0.851.T$_{i}$($textsc{k}$)£«0.055.T$_{w}$($textsc{k}$)£«0.094.T$_{o}$($textsc{k}$) Control simulations for various control methods showed the settling time, the overshoot and the steady state nor as follows; infinite time, 3.5$0^{circ}C$, 3.5$0^{circ}C$ for ON-OFF control : 30min 2.37$^{circ}C$, 0.51$^{circ}C$ for P control; 21min, 0.0$0^{circ}C$, 0.23$^{circ}C$ for PI control; 18min 0.0$0^{circ}C$, 0.23$^{circ}C$ for PID control, respectively. PI and PID controls appeared to be optimal control methods. There was no effect of differential gain on the heating process but much effect of integral gain on it.on it.
 
Ű¿öµå
µðÁöÅÐ ¼ö½Ä¸ðÇü;PÁ¦¾î;PIDÁ¦¾î;digital mathematical model;P control;PID control;
 
»ý¹°È¯°æÁ¶ÀýÇÐȸÁö / v.8, no.3, 1999³â, pp.152-163
Çѱ¹»ý¹°È¯°æÁ¶ÀýÇÐȸ
ISSN : 1229-4675
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO199911922406693)
¾ð¾î : Çѱ¹¾î
³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø
¸ñ·Ïº¸±â
ȸ»ç¼Ò°³ ±¤°í¾È³» ÀÌ¿ë¾à°ü °³ÀÎÁ¤º¸Ãë±Þ¹æÄ§ Ã¥ÀÓÀÇ ÇѰè¿Í ¹ýÀû°íÁö À̸ÞÀÏÁÖ¼Ò ¹«´Ü¼öÁý °ÅºÎ °í°´¼¾ÅÍ
   

ÇÏÀ§¹è³ÊÀ̵¿