Variable structure control of nonlinear system using fuzzy variable boundary layer

Heejin Lee; Hongyoup Son; Euntai Kim; Mignon Park

doi:10.1109/FUZZY.1998.687510

Variable structure control of nonlinear system using fuzzy variable boundary layer

Heejin Lee, Hongyoup Son, Euntai Kim, Mignon Park

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We suggest a variable structure controller based on a fuzzy variable boundary layer with control gain and boundary layer thickness as design parameters. Control gain is an important factor affecting the control performance of the variable structure system (VSS). The sliding mode controller based on a variable boundary layer is superior to the fixed-layer method for tracking characteristics. In order to regulate the design parameters and increase the operating efficiency, the scheme makes use of a fuzzy inference which reduces the number of fuzzy inputs. By using fuzzy algorithms in choosing control gain and boundary layer, we propose methods which have better tracking performance than the conventional method. To demonstrate the advantages of the proposed algorithm, it is applied to a nonlinear system.

Original language	English
Title of host publication	1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	348-353
Number of pages	6
ISBN (Print)	078034863X, 9780780348639
DOIs	https://doi.org/10.1109/FUZZY.1998.687510
Publication status	Published - 1998
Event	1998 IEEE International Conference on Fuzzy Systems, FUZZY 1998 - Anchorage, United States Duration: 1998 May 4 → 1998 May 9

Publication series

Name	1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence
Volume	1

Conference

Conference	1998 IEEE International Conference on Fuzzy Systems, FUZZY 1998
Country/Territory	United States
City	Anchorage
Period	98/5/4 → 98/5/9

Bibliographical note

Publisher Copyright:
© 1998 IEEE.

All Science Journal Classification (ASJC) codes

Logic
Control and Optimization
Modelling and Simulation
Chemical Health and Safety
Software
Safety, Risk, Reliability and Quality

Access to Document

10.1109/FUZZY.1998.687510

Cite this

Lee, H., Son, H., Kim, E., & Park, M. (1998). Variable structure control of nonlinear system using fuzzy variable boundary layer. In 1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence (pp. 348-353). [687510] (1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FUZZY.1998.687510

Lee, Heejin ; Son, Hongyoup ; Kim, Euntai et al. / Variable structure control of nonlinear system using fuzzy variable boundary layer. 1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence. Institute of Electrical and Electronics Engineers Inc., 1998. pp. 348-353 (1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence).

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abstract = "We suggest a variable structure controller based on a fuzzy variable boundary layer with control gain and boundary layer thickness as design parameters. Control gain is an important factor affecting the control performance of the variable structure system (VSS). The sliding mode controller based on a variable boundary layer is superior to the fixed-layer method for tracking characteristics. In order to regulate the design parameters and increase the operating efficiency, the scheme makes use of a fuzzy inference which reduces the number of fuzzy inputs. By using fuzzy algorithms in choosing control gain and boundary layer, we propose methods which have better tracking performance than the conventional method. To demonstrate the advantages of the proposed algorithm, it is applied to a nonlinear system.",

author = "Heejin Lee and Hongyoup Son and Euntai Kim and Mignon Park",

note = "Publisher Copyright: {\textcopyright} 1998 IEEE.; 1998 IEEE International Conference on Fuzzy Systems, FUZZY 1998 ; Conference date: 04-05-1998 Through 09-05-1998",

year = "1998",

doi = "10.1109/FUZZY.1998.687510",

language = "English",

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series = "1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence",

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Lee, H, Son, H, Kim, E & Park, M 1998, Variable structure control of nonlinear system using fuzzy variable boundary layer. in 1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence., 687510, 1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence, vol. 1, Institute of Electrical and Electronics Engineers Inc., pp. 348-353, 1998 IEEE International Conference on Fuzzy Systems, FUZZY 1998, Anchorage, United States, 98/5/4. https://doi.org/10.1109/FUZZY.1998.687510

Variable structure control of nonlinear system using fuzzy variable boundary layer. / Lee, Heejin; Son, Hongyoup; Kim, Euntai et al.
1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence. Institute of Electrical and Electronics Engineers Inc., 1998. p. 348-353 687510 (1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Variable structure control of nonlinear system using fuzzy variable boundary layer

AU - Lee, Heejin

AU - Son, Hongyoup

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N2 - We suggest a variable structure controller based on a fuzzy variable boundary layer with control gain and boundary layer thickness as design parameters. Control gain is an important factor affecting the control performance of the variable structure system (VSS). The sliding mode controller based on a variable boundary layer is superior to the fixed-layer method for tracking characteristics. In order to regulate the design parameters and increase the operating efficiency, the scheme makes use of a fuzzy inference which reduces the number of fuzzy inputs. By using fuzzy algorithms in choosing control gain and boundary layer, we propose methods which have better tracking performance than the conventional method. To demonstrate the advantages of the proposed algorithm, it is applied to a nonlinear system.

AB - We suggest a variable structure controller based on a fuzzy variable boundary layer with control gain and boundary layer thickness as design parameters. Control gain is an important factor affecting the control performance of the variable structure system (VSS). The sliding mode controller based on a variable boundary layer is superior to the fixed-layer method for tracking characteristics. In order to regulate the design parameters and increase the operating efficiency, the scheme makes use of a fuzzy inference which reduces the number of fuzzy inputs. By using fuzzy algorithms in choosing control gain and boundary layer, we propose methods which have better tracking performance than the conventional method. To demonstrate the advantages of the proposed algorithm, it is applied to a nonlinear system.

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T3 - 1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence

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Lee H, Son H, Kim E, Park M. Variable structure control of nonlinear system using fuzzy variable boundary layer. In 1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence. Institute of Electrical and Electronics Engineers Inc. 1998. p. 348-353. 687510. (1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence). doi: 10.1109/FUZZY.1998.687510

Variable structure control of nonlinear system using fuzzy variable boundary layer

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

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