Sustavi upravljanja zasnovani na kliznim režimima uz primjenu inteligentnih metoda

scientific master's theses

• Title (english): Computationally intelligent methods in sliding mode based control systems
• Author: Miroslav Barić
• Mentor: Nedjeljko Perić (mentor)
• Committee member: Nikola Bogunović (predsjednik povjerenstva)
• Committee member: Ivan Petrović (član povjerenstva)
• Committee member: Juraj Božičević (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; (Department of Control and Computer Engineering); Zagreb
• Defense date and country: 2002-11-27, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing; Process Computing
• Universal decimal classification (UDC): 004 - Computer science and technology. Computing. Data processing

Abstract

Prikazane su osnove teorije sustava promjenjive strukture i prikazana je njihova primjena u sustavima automatskog upravljanja. Objašnjen je princip rada sustava upravljanja zasnovanih na kliznim režimima. Istaknute su značajke ovakvog pristupa, s posebnim osvrtom na nedostatke. Dan je pregled primjene inteligentnih metoda u sklopu sustava upravljanja s kliznim režimom rada. Istaknut je značaj primjene umjetnih neuronskih mreža. Predložen je algoritam upravljanja promjenjive strukture za sustave sa izraženim ”unmatched” neodređenostima. U relizaciji upravljačkog signala razmotrena je primjena statičkih neuronskih mreža: MLP i RBF. Predložen je algoritam adaptacije parametara obiju mrežnih struktura, zasnovan na analizi stabilnosti. Pokazana je ograničenost svih veličina u sustavu upravljanja. Provjera valjanosti algoritma provedena je simulacijama u programskom paketu Matlab/Simulink. Simulacije su provedene za sustav upravljanja elektroničkim ventilom rasplinjača.

Abstract (english)

Basics of the variable structure systems and their application as control strategy are demonstrated. The principle of the sliding mode control is explained, with the special attention given to its drawbacks. An overview of applications of the soft computing methods as a part of the sliding mode controller is given. The application of the neural networks is specially pointed. The variable structure control algorithm designed for systems with unmatched uncertainties and disturbances if proposed. The application of MLP and RBF neural networks in the context of the algorithm is considered. Weights adaptation algorithm derived from the stability analysis is proposed. The ultimate boundedness of all signals inside the system is demonstrated. The verification of the proposed algorithm is performed using Matlab/Simulink. Simulation studies are carried on for the electronic throttle control system.

• Keywords: Sustavi promjenjive strukture; klizni režimi; neodređenosti i poremećaji; neuronske mreže; ograničenost i stabilnost
• Keywords (english): Variable structure systems; sliding modes; uncertainties and disturbances; boudedness and stability
• Language: croatian
• URN:NBN: urn:nbn:hr:168:595208
• Study programme: Title: Postgraduate master programe in computing; Study programme type: university; Study level: postgraduate; Academic / professional title: magistar inženjer računarstva (magistar inženjer računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-04-30 09:30:41