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Title:Načrtovanje samonastavljivega regulatorja 2 DOF robota s pomočjo BA algoritma
Authors:ID Fister, Dušan (Author)
ID Brezočnik, Miran (Mentor) More about this mentor... New window
ID Šafarič, Riko (Mentor) More about this mentor... New window
ID Fister, Iztok (Comentor)
Files:.pdf UN_Fister_Dusan_2015.pdf (2,66 MB)
MD5: 23E53D49695CC4590555EE9719010A1E
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FS - Faculty of Mechanical Engineering
Abstract:Algoritmi po vzoru iz narave dandanes pokrivajo več raziskovalnih področij. Aplikacije, s katerimi rešujemo različne optimizacijske probleme v industriji in drugih področjih človekove dejavnosti, povečujejo kakovost proizvoda, zmanjšujejo časovni okvir načrtovanja ali kako drugače lajšajo reševanja problema. Naš problem predstavlja načrtovanje parametrov položajnega regulatorja na dvoosnem robotskem mehanizmu s pomočjo algoritmov po vzoru iz narave. Pri tem med seboj primerjamo genetski algoritem ter algoritem po vzoru obnašanja netopirjev. Spoznamo in potrdimo osnovne značilnosti obeh algoritmov, ju preizkusimo na realni laboratorijski aplikaciji, ter ugotovimo, da algoritem po vzoru obnašanja netopirjev izboljšuje rezultate genetskega algoritma na našem problemu. S tem smo prišli do sklepa, da lahko algoritme po vzoru iz narave uspešno uporabimo za reševanje realnih problemov iz prakse.
Keywords:algoritmi po vzoru obnašanja netopirjev, mehatronika, regulacije
Place of publishing:Maribor
Publisher:[D. Fister]
Year of publishing:2015
PID:20.500.12556/DKUM-54231 New window
UDC:004.021:681.51(043.2)
COBISS.SI-ID:19156246 New window
NUK URN:URN:SI:UM:DK:GEILBQHU
Publication date in DKUM:27.10.2015
Views:2368
Downloads:187
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FS
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Secondary language

Language:English
Title:Self-tuning controller design of 2 DOF robot using BA algorithm
Abstract:Nature-inspired algorithms present a bright star of researching. Implemented on different optimizational, industrial or researchable applications they offer an excellent opportunity to increase quality of product, reduce time needed for design or ease the procedure of solving modern problems. Our main topic presents the 2 dof robotic mechanism, equipped with nature-inspired algorithms in order to design self-tuning controller. We tested and compared two algorithms - Genetic algorithm and Bat algorithm, met their basics of working and according to real laboratory tests confirmed the execution of optimizational process. Bat algorithm did prove better working in the laboratory experiments. We conclude, that it was worth to use the nature-inspired algorithms for our problem.
Keywords:nature-inspired algorithms, mechatronics, controlling


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