Fuzzy-neural sliding-mode control for DC-DC converters using asymmetric Gaussian membership functions

被引：105

作者：

Cheng, Kuo-Hsiang ^{[1
]}

Hsu, Chun-Fei

Lin, Chih-Min

Lee, Tsu-Ti An

Li, Chunshien

机构：

[1] Chang Gung Univ, Dept Elect Engn, Tao Yuan 333, Taiwan

[2] Chung Hua Univ, Dept Elect Engn, Hsinchu 300, Taiwan

[3] Yuan Ze Univ, Dept Elect Engn, Tao Yuan 320, Taiwan

[4] Natl Taipei Univ, Dept Elect Engn, Taipei 106, Taiwan

[5] Natl Univ Tainan, Dept Comp Sci & Informat Engn, Tainan 700, Taiwan

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2007年 / 54卷 / 03期

关键词：

adaptive control; asymmetric Gaussian membership function; converter; fuzzy neural network; sliding-mode control;

D O I：

10.1109/TIE.2007.894717

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A fuzzy-neural sliding-mode (FNSM) control system is developed to control power electronic converters. The FNSM control system comprises a neural controller and a compensation controller. In the neural controller, an asymmetric fuzzy neural network is utilized to mimic an ideal controller. The compensation controller is designed to compensate for the approximation error between the neural controller and the ideal controller. An online training methodology is developed in the Lyapunov sense; thus, the stability of the control system can be guaranteed. Finally, to investigate the effectiveness of the FNSM control scheme, it is applied to control a pulsewidth-modulation-based forward dc-dc converter. Experimental results show that the proposed FNSM control system is found to achieve favorable regulation performances even under input-voltage and load-resistance variations.

引用

页码：1528 / 1536

页数：9

共 20 条

[1] A stable design of PI control for DC-DC converters with an RHS zero [J].

Alvarez-Ramirez, J ;

Cervantes, I ;

Espinosa-Perez, G ;

Maya, P ;

Morales, A .

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS, 2001, 48 (01) :103-106

[2] CUK converter global control via fuzzy logic and scaling factors [J].

Balestrino, A ;

Landi, A ;

Sani, L .

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2002, 38 (02) :406-413

[3] Posicast-based digital control of the buck converter [J].

Feng, Qi ;

Nelms, R. A. ;

Hung, John Y. .

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2006, 53 (03) :759-767

[4] Optimal controller of a buck DC-DC converter using the uncertain load as stochastic noise [J].

Hsieh, FH ;

Yen, NZ ;

Juang, YT .

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2005, 52 (02) :77-81

[5] Fuzzy-identification-based adaptive controller design via backstepping approach [J].

Hsu, CF ;

Lin, CM .

FUZZY SETS AND SYSTEMS, 2005, 151 (01) :43-57

[6] Neuroadaptive combined lateral and longitudinal control of highway vehicles using RBF networks [J].

Kumarawadu, Sisil ;

Lee, Tsu Tain .

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2006, 7 (04) :500-512

[7] Adaptive fuzzy sliding-mode control for induction servomotor systems [J].

Lin, CM ;

Hsu, CF .

IEEE TRANSACTIONS ON ENERGY CONVERSION, 2004, 19 (02) :362-368

[8] Neural-network-based adaptive control for induction servomotor drive system [J].

Lin, CM ;

Hsu, CF .

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2002, 49 (01) :115-123

[9] Supervisory recurrent fuzzy neural network control of wing rock for slender delta wings [J].

Lin, CM ;

Hsu, CF .

IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2004, 12 (05) :733-742

[10]

Lin CT, 1996, Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems

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