| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:VODENJE NELINEARNEGA MEHANIZMA Z METODAMI MEHKEGA RAČUNANJA
Authors:ID Oštir, Matjaž (Author)
ID Rojko, Andreja (Mentor) More about this mentor... New window
ID Gotlih, Karl (Comentor)
Files:.pdf UNI_Ostir_Matjaz_2010.pdf (1,83 MB)
MD5: 4DA7EDD087CD11260BE410B6FE3B4923
PID: 20.500.12556/dkum/b07a2d48-4ca4-4b78-a848-1339ac92b85c
 
Language:Slovenian
Work type:Undergraduate thesis
Organization:FS - Faculty of Mechanical Engineering
Abstract:V diplomskem delu smo predstavili uporabo dveh mehkih metod računanja za vodenje nelinearnega mehanizma z eno prostostno stopnjo. Opisano je vodenje s pomočjo umetne nevronske mreže in mehke logike. Hkrati je bilo za primerjavo rezultatov obeh mehkih metod izvedeno vodenje s PD-regulatorjem. Sistemi vodenja so bili narejeni in simulirani v programskem paketu MATLAB/Simulink, sami algoritmi pa napisani v jeziku C. Izvajanje in testiranje algoritmov je potekalo na realnem mehanizmu s pomočjo DSP-2-modula.
Keywords:položajno vodenje mehanizmov, umetne nevronske mreže, mehka logika, nelinearne regulacije, mehko računanje, mehanizem z eno prostostno stopnjo, metoda izračunanega navora
Place of publishing:Maribor
Publisher:[M. Oštir]
Year of publishing:2010
PID:20.500.12556/DKUM-15901 New window
UDC:681.511.4:004.8(043.2)
COBISS.SI-ID:14631958 New window
NUK URN:URN:SI:UM:DK:NW3WRCB4
Publication date in DKUM:11.10.2010
Views:2566
Downloads:226
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FS
:
Copy citation
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share



Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Secondary language

Language:English
Title:CONTROL OF NONLINEAR MECHANISM BY USING SOFT COMPUTING CONTROL METHODS
Abstract:In this thesis, we present usage of two soft computing methods to control a nonlinear mechanism with one degree of freedom. Used soft computing methods are artificial neural networks and fuzzy logic. Obtained results are compared with those given by the PD controller. Control systems are made in the MATLAB/Simulink environment with algorithms written in C programming language. Implementation and testing was realised on a real mechanism by using DSP-2 module.
Keywords:position control of mechanisms artificial neural networks, fuzzy logic, nonlinear control, soft computing, mechanism with one degree of freedom, computed torque method


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica