PERFORMANCE ANALYSIS FUZZY-PID VERSUS FUZZY FOR QUADCOPTER ALTITUDE LOCK SYSTEM - Ubaya Repository

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PERFORMANCE ANALYSIS FUZZY-PID VERSUS FUZZY FOR QUADCOPTER ALTITUDE LOCK SYSTEM | Wicaksono | Jurnal Teknologi

http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/6659[21/01/2016 21:44:09]

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ANNOUNCEMENTS SUBMI SSI ONS PENERBI T UTM PRESS UTM Hom e > Vol 77, No 22 > W ica k son o

PERFORMANCE ANALYSI S FUZZY- PI D VERSUS

FUZZY FOR QUADCOPTER ALTI TUDE LOCK SYSTEM

Hendi Wicaksono, Yohanes Gunaw an, Ar bil Yodinat a, Leonar die Leonar die

Abst r act

Most ly quadcopt er has a flight cont r oller t o r eceive signal fr om r em ot e cont r ol t o cont r ol four br ushless m ot or speed. I n t his paper , t he r esear cher s int r oduced a new cont r ol m et hod t o m ake quadcopt er alt it ude lock syst em using Fuzzy- PI D and per for m a com par at ive per for m ance analysis bet w een t he Fuzzy cont r oller and t he new Fuzzy- PI D cont r oller . Fuzzy cont r oller has abilit y t o solve uncer t aint y w it hin t he syst em , by incor por at ing w it h alt it ude sensor dat a. On t he ot her hand, Fuzzy- PI D has t he abilit y t o gain t he t ar get level w it h Kp, Ki, Kd values cont r olled. I n t his paper t he r esear cher s pr esent an analysis t o com par e t he cont r ol m et hod bet w een Fuzzy and Fuzzy- PI D w it h r egar ds t o t he st abilit y alt it ude lock syst em . The st abilit y of t he alt it ude lock syst em can be m easur ed by how sm all t he oscillat ions occur r ed. Fuzzy cont r ol has show n t o pr oduce bet t er r esult t han Fuzzy- PI D cont r ol. Fuzzy cont r ol has 14 cm as it s aver age oscillat ion, w hile Fuzzy- PI D

r ecor ded 24 cm as it s aver age oscillat ion.

Keyw or ds

Quadcopt er alt it ude lock syst em , Fuzzy, Fuzzy- PI D cont r oller , YoHe boar d

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Refer ences

B. T. M. Leong, S. M. Low , and M. P.- L. 2012. Ooi, Low - Cost Micr ocont r oller - based Hover Cont r ol Design of a Quadcopt er . Pr ocedia Eng. 41: 458–464.

H. I r aw an, Y. G. Yusuf, and H. Wicaksono. 2014. Pengunci Ket inggian Pada QuadCopt er Ber basis Kont r oler PI D Menggunakan Sensor Ult r asonik, in Digit al I nfor m at ion & Syst em Confer ence.

A. Yodinat a, Y. Yusuf, and H. Wicaksono. 2014. Hold Alt it ude Design for QuadCopt er Using

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PERFORMANCE ANALYSIS FUZZY-PID VERSUS FUZZY FOR QUADCOPTER ALTITUDE LOCK SYSTEM | Wicaksono | Jurnal Teknologi

http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/6659[21/01/2016 21:44:09]

For Reader s For Aut hor s For Libr ar ians Bar om et r ic BMP085 Based on Fuzzy Cont r oller . in Digit al I nfor m at ion & Syst em Confer ence.

C. Kr ist ant o, Y. G. Yusuf, H. Wicaksono, and R. K. Sur abaya. 2014. Desain Sim ulasi Penj aga

Ket inggian QuadCopt er Menggunakan T2- Fuzzy Logic Sebagai Sist em Kont r ol. in Digit al I nfor m at ion & Syst em Confer ence.

P. Bast a. 2012. Quad Copt er Flight . Califor nia St at e Univer sit y.

S. Bouabdallah, P. Mur r ier i, and R. Siegw ar t . 2004. Design and cont r ol of an indoor m icr o quadr ot or . I EEE I nt . Conf. Robot . Aut om . Pr oceedings. I CRA. 04( 5) : 4393–4398.

L. R. Gar cía Car r illo, E. Rondon, a. Sanchez, a. Dzul, R. Lozano, and L. Car r illo. 2010. St abilizat ion and t r aj ect or y t r acking of a quad- r ot or using vision. J. I nt ell. 61( 1–4) : 103–118.

J. Rought , D. Goodhew , J. Sullivan, and A. Rodr iguez. 2010. Self- St abilizing Quad- Rot or Helicopt er . no. 2.

L. Bur kam shaw . 2010. Tow ar ds A Low - Cost Quadr ot or Resear ch Plat for m . Naval Post Gr aduat e School.

C. Canet t a and J. Chin. 2007. Quad- Rot or Unm anned Aer ial Vehicle. Colum bia Univer sit y,.

J. Dom ingues. 2009. Quadr ot or pr ot ot ype, I nst . Super . Tec.

A. El, R. Shabayek, C. Dem onceaux, O. Mor el, and D. Fofi. 2011. Vision Based UAV At t it ude Est im at ion : Pr ogr ess and I nsight s. 1–20.

B. Er giner and E. Alt uğ, 2012. Design and im plem ent at ion of a hybr id fuzzy logic cont r oller for a quadr ot or VTOL vehicle. I nt . J. Cont r ol. Aut om . Syst . 10( 1) : 61–70.

H. Desa. 2013. Adapt ive Hybr id Cont r ol Algor it hm Design for At t it ude St abilizat ion of Quadr ot or ( UAV ) . Ar ch. Des Sci., 66( 2) : 51–64.

M. I . H. Nour , J. Ooi, and K. Y. Chan, 2007. Fuzzy logic cont r ol vs. convent ional PI D cont r ol of an inver t ed pendulum r obot . 2007 I nt . Conf. I nt ell. Adv. Syst . 209–214,

K. C. Vij aykum ar Sur eshkum ar . 2014. I nt elligent Fuzzy Flight Cont r ol of an Aut onom ous. AI AA SciTech. Januar y: 1–10.

M. Tom izuka and S. I saka. 1993. Fuzzy Gain Scheduling of PI D Cont r oller s. I EEE Tr ans. Syst . Man. Cyber n. 23( 5) : 1392–1398.

DOI : ht t p: / / dx.doi.or g/ 10.11113/ j t .v77.6659

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