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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Current Result Document : 8 / 128 ÀÌÀü°Ç ÀÌÀü°Ç   ´ÙÀ½°Ç ´ÙÀ½°Ç

ÇѱÛÁ¦¸ñ(Korean Title) ÀϹÝÁ¦ÇÑÁ¶°ÇÀÇ À̵¿·Îº¿¿¹ÃøÁ¦¾î±â ÃÖÀûÈ­
¿µ¹®Á¦¸ñ(English Title) Optimization of Mobile Robot Predictive Controllers Under General Constraints
ÀúÀÚ(Author) ¹ÚÁøÇö   ÃÖ¿µ±Ô   Jin-Hyun Park   Young-Kiu Choi  
¿ø¹®¼ö·Ïó(Citation) VOL 22 NO. 04 PP. 0602 ~ 0610 (2018. 04)
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(Korean Abstract)
¸ðµ¨¿¹ÃøÁ¦¾î´Â ±âÁØ ±ËÀûÀÌ ¾Ë·ÁÁ® ÀÖÀ» °æ¿ì Á¦¾î½Ã½ºÅÛÀÇ ¿¹Ãø¸ðµ¨À» ÀÌ¿ëÇÏ¿© ÇöÀç Á¦¾î»óÅ ¹× ¹Ì·¡¿ÀÂ÷ µîÀ» ¿¹ÃøÇÏ¿© ÇöÀç Á¦¾îÀÔ·ÂÀ» ÃÖÀûÈ­½Ãų ¼ö ÀÖ´Â È¿°úÀûÀÎ ¹æ¹ýÀÌ´Ù. ¸ð¹ÙÀϷκ¿ÀÇ Á¦¾îÀÔ·ÂÀÌ ¹°¸®ÀûÀ¸·Î ¹«ÇÑÈ÷ Å« °ªÀ» °¡Áú ¼ö ¾øÀ¸¹Ç·Î Á¦ÇÑÁ¶°ÇÀ» °®´Â ¿¹ÃøÁ¦¾î±â ¼³°è°¡ °í·ÁµÇ¾î¾ß ÇÑ´Ù. ¶ÇÇÑ ¿¹ÃøÁ¦¾î±âÀÇ Á¦¾î¼º´ÉÀ» °áÁ¤ÇÏ´Â ±âÁظðµ¨Çà·Ä Ar °ú °¡ÁßÄ¡Çà·Ä Q,RµéÀÌ ÀÓÀÇ·Î ¼³Á¤µÊ¿¡ µû¶ó ¼º´ÉÀÌ ÃÖÀûÈ­µÇÁö ¸øÇÑ ºÎºÐµµ ¼³°è¿¡ °í·ÁµÇ¾î¾ß ÇÑ´Ù. º» ¿¬±¸¿¡¼­´Â Á¦ÇÑÁ¶°ÇÀ» °®´Â quadratic programming ¹®Á¦·Î º¯ÇüÇÏ¿© ¸ð¹ÙÀϷκ¿ÀÇ ¿¹ÃøÁ¦¾î±â¸¦ ±¸¼ºÇÏ°í, ¸ð¹ÙÀÏ ·Îº¿ÀÇ Á¦¾î¼º´ÉÀ» °áÁ¤ÇÏ´Â ¿¹ÃøÁ¦¾î±âÀÇ Á¦¾îÆĶó¹ÌÅÍÀÎ ±âÁظðµ¨Çà·Ä Ar°ú °¡ÁßÄ¡Çà·Ä Q,R¿¡ ´ëÇÏ¿© À¯Àü¾Ë°í¸®ÁòÀ» Àû¿ëÇÏ¿© Á¦¾îÆĶó¹ÌÅ͵éÀ» ÃÖÀûÈ­ÇÔÀ¸·Î½á Á¦¾î¼º´ÉÀ» ³ôÀÏ ¼ö ÀÖ¾ú´Ù. ÄÄÇ»ÅÍ ¸ðÀǽÇÇèÀ» ÅëÇÏ¿© º» ¿¬±¸¿¡¼­ Á¦¾ÈÇÑ Á¦¾î¹æ¹ýÀÌ ±âÁ¸ÀÇ ¿¹ÃøÁ¦¾î±âÀÇ ÃßÁ¾¼º´Éº¸´Ù ¶Ù¾î³²À» È®ÀÎÇÏ°íÀÚÇÑ´Ù.
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(English Abstract)
The model predictive control is an effective method to optimize the current control input that predicts the current control state and the future error using the predictive model of the control system when the reference trajectory is known. Since the control input can not have a physically infinitely large value, a predictive controller design with constraints should be considered. In addition, the reference model Ar and the weight matrices Q,R that determine the control performance of the predictive controller are not optimized as arbitrarily designated should be considered in the controller design. In this study, we construct a predictive controller of a mobile robot by transforming it into a quadratic programming problem with constraints, The control performance of the mobile robot can be improved by optimizing the control parameters of the predictive controller that determines the control performance of the mobile robot using genetic algorithm. Through the computer simulation, the superiority of the proposed method is confirmed by comparing with the existing method.
Å°¿öµå(Keyword) À̵¿·Îº¿   ¿¹ÃøÁ¦¾î   Á¦ÇÑÁ¶°Ç   À¯Àü¾Ë°í¸®Áò   Á¦¾îÆĶó¹ÌÅÍ   mobile robots   predictive control   constraints   genetic algorithm   control parameters  
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