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1.
Pantograph driven with a linear induction motor with adaptive fuzzy control
Costica Nituca, Gabriel Chiriac, 2019, original scientific article

Abstract: This article presents an adaptive fuzzy control for a linear induction motor, which is used to control the vertical movement of a pantograph, which supplies an electric locomotive from a contact line. The system has the goal of eliminating all the discontinuity on the route, the resonance phenomenon, the separation of the pantograph head from the contact wire, and electric arches. The simulations demonstrate functional control of the pantograph driven with a linear induction motor system using fuzzy control techniques.
Keywords: linear induction motor, fuzzy control, locomotive pantograph, simulation
Published in DKUM: 05.12.2023; Views: 105; Downloads: 3
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2.
Design and implementation of a Fuzzy control algorithm on a programmable logic controller : magistrsko delo
Andrej Jozić, 2019, master's thesis

Abstract: V magistrskem delu je prikazano snovanje in uporaba mehkega (Fuzzy) regulacijskega sistema na primeru regulacije pretoka zraka skozi sistem dveh tlačnih posod in regulacije temperature grelca. Izvedba algoritma mehkega sklepanja je bila zasnovana na osnovi Siemens Fuzzy Control ++ orodja, ki pa ga v novejših krmilnikih ni bilo mogoče uporabiti. Razvit in implementiran je bil algoritem mehkega sklepanja v Siemens TIA portalu. V obeh primerih je bila izvedena primerjava mehkega regulatorja z linearnim PID regulatorjem. Za prikaz in analizo delovanja regulacijskega sistema je bil izdelan uporabniški vmesnik SCADA s programom Siemens WinCC.
Keywords: Fuzzy control system, Fuzzy inference algorithm, SIEMENS TIA portal, Temperature and flow control
Published in DKUM: 26.04.2019; Views: 1622; Downloads: 133
.pdf Full text (3,90 MB)

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Mathematical model of the power supply system control
Janez Usenik, 2009, original scientific article

Keywords: power supply system, control, optimal energy capacities, Laplace transform, fuzzy logic
Published in DKUM: 05.06.2012; Views: 2531; Downloads: 48
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6.
Decomposed fuzzy proportional-integral-derivative controllers
Marjan Golob, 2001, original scientific article

Abstract: In this paper, several types of decomposed proportional-integral-derivative fuzzy logic controllers (PID FLCs) are tested and compared. An important feature of decomposed PID FLCs are their simple structures. In its simplest version, the decomposed PID FLC uses three one-input one-output inferences with three separate rule bases. Behaviours of proportional, integral and derivative PID FLC parts are defined with simple rules in proportional rule base, integral rule base and derivative rule base. The proposed decomposed PID FLC has been compared with several PID FLCs structures. All PID FLCs have been realised by the same hardware and software tools and have been applied as a real-time controller to a simple magnetic suspension system.
Keywords: fuzzy logic control, PID control, decomposed fuzzy system, magnetic suspension system
Published in DKUM: 01.06.2012; Views: 1932; Downloads: 105
URL Link to full text

7.
Fuzzy control strategy for an adaptive force control in end-milling
Uroš Župerl, Franc Čuš, Matjaž Milfelner, 2005, original scientific article

Abstract: This paper discusses the application of fuzzy adaptive control strategy to the problem of cutting force control in high speed end-milling operations. The research is concerned with integrating adaptive control with a standard computer numerical controller (CNC) for optimising a metal-cutting process. It is designed to adaptively maximise the feed-rate subject to allowable cutting force on the tool, which is very beneficial for a time consuming complex shape machining. The purpose is to present a reliable, robust neural controller aimed at adaptively adjusting feed-rate to prevent excessive tool wear, tool breakage and maintain a high chip removal rate. Numerous simulations and experiments are conducted to confirm the efficiency of this architecture.
Keywords: automatic control, end milling, adaptive force control, fuzzy adaptive control
Published in DKUM: 01.06.2012; Views: 1857; Downloads: 91
URL Link to full text

8.
Improvement of the statical behaviour of pressure controlled axial piston pumps
Darko Lovrec, Edvard Detiček, 2009, original scientific article

Abstract: The control of pressure by means of variable displacement pumps is one of the most important tasks in the field of pump control, which is influenced by the properties of the pumps. Looking for a suitable control concept with good static behaviour, a method is tested which tunes the parameters of a controller. Instancing a variable displacement axial piston pump controlled bya 3/2 proportional valve the improvement will be achieved by fuzzy logic on the one hand and a non-linear approach - adaptation of gain of the classical controller - on the other.
Keywords: servo hydraulic, variable displacement pump, pressure control, conventional control structures, fuzzy control structures, nonlinear control structures
Published in DKUM: 31.05.2012; Views: 1784; Downloads: 53
URL Link to full text

9.
Fuzzy logic based quality monitoring in short-circuit gas metal arc welding
Marjan Golob, Arpad Köveš, 2007, original scientific article

Abstract: Conventional methods, e.g. destructive and non-destructive testing methods, are expensive and time-consuming; therefore, possibilities of online and automated quality control of a welding process during welding as such are investigated. The paper deals with the possibilities of application of fuzzy logic to the analysis of weld quality, particularly assessment of the weld surface condition by means of measurable electric signals emitted during welding. A simple fuzzy inference system was realised which could relatively efficiently assess the weld quality on the basis of time variations of the welding voltage and short-circuit time in a certain time window.
Keywords: fuzzy systems, fuzzy logic, gas metal arc welding, GMAW, quality monitoring, statistical analysis, quality control, weld quality
Published in DKUM: 31.05.2012; Views: 2333; Downloads: 101
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