IEICE TRANSACTIONS on Fundamentals
Modified Adaptive Fuzzy Sliding Mode Controller for Uncertain Nonlinear Systems
Summary :
In this paper, a modified adaptive fuzzy sliding mode controller for a certain class of uncertain nonlinear systems is presented. We incorporate the fuzzy sliding mode control technique with a modified adaptive fuzzy control technique to design a modified adaptive fuzzy sliding mode controller so that the proposed controller is robust against the unmodeled dynamics and the approximation errors. Firstly, we establish a fuzzy model to describe the dynamic characteristics of the given uncertain nonlinear system. Then, based on the fuzzy model, a fuzzy sliding mode controller is designed. By considering both the information of tracking error and modeling error, the modified adaptive laws for tuning the adjustable parameters of the fuzzy model are derived based on the Lyapunov synthesis approach. Since the modified adaptive laws contain both the tracking error and the modeling error, it implies that the fuzzy model parameters would continuously converge until both the tracking error and modeling error converges to zero. An inverted pendulum control system is simulated to demonstrate the control performance by using the proposed method.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E88-A No.5 pp.1328-1334
- Publication Date
- 2005/05/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietfec/e88-a.5.1328
- Type of Manuscript
- PAPER
- Category
- Systems and Control
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Keyword
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Chung-Chun KUNG, Ti-Hung CHEN, Lei-Huan KUNG, "Modified Adaptive Fuzzy Sliding Mode Controller for Uncertain Nonlinear Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E88-A, no. 5, pp. 1328-1334, May 2005, doi: 10.1093/ietfec/e88-a.5.1328.
Abstract: In this paper, a modified adaptive fuzzy sliding mode controller for a certain class of uncertain nonlinear systems is presented. We incorporate the fuzzy sliding mode control technique with a modified adaptive fuzzy control technique to design a modified adaptive fuzzy sliding mode controller so that the proposed controller is robust against the unmodeled dynamics and the approximation errors. Firstly, we establish a fuzzy model to describe the dynamic characteristics of the given uncertain nonlinear system. Then, based on the fuzzy model, a fuzzy sliding mode controller is designed. By considering both the information of tracking error and modeling error, the modified adaptive laws for tuning the adjustable parameters of the fuzzy model are derived based on the Lyapunov synthesis approach. Since the modified adaptive laws contain both the tracking error and the modeling error, it implies that the fuzzy model parameters would continuously converge until both the tracking error and modeling error converges to zero. An inverted pendulum control system is simulated to demonstrate the control performance by using the proposed method.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.5.1328/_p
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@ARTICLE{e88-a_5_1328,
author={Chung-Chun KUNG, Ti-Hung CHEN, Lei-Huan KUNG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Modified Adaptive Fuzzy Sliding Mode Controller for Uncertain Nonlinear Systems},
year={2005},
volume={E88-A},
number={5},
pages={1328-1334},
abstract={In this paper, a modified adaptive fuzzy sliding mode controller for a certain class of uncertain nonlinear systems is presented. We incorporate the fuzzy sliding mode control technique with a modified adaptive fuzzy control technique to design a modified adaptive fuzzy sliding mode controller so that the proposed controller is robust against the unmodeled dynamics and the approximation errors. Firstly, we establish a fuzzy model to describe the dynamic characteristics of the given uncertain nonlinear system. Then, based on the fuzzy model, a fuzzy sliding mode controller is designed. By considering both the information of tracking error and modeling error, the modified adaptive laws for tuning the adjustable parameters of the fuzzy model are derived based on the Lyapunov synthesis approach. Since the modified adaptive laws contain both the tracking error and the modeling error, it implies that the fuzzy model parameters would continuously converge until both the tracking error and modeling error converges to zero. An inverted pendulum control system is simulated to demonstrate the control performance by using the proposed method.},
keywords={},
doi={10.1093/ietfec/e88-a.5.1328},
ISSN={},
month={May},}
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TY - JOUR
TI - Modified Adaptive Fuzzy Sliding Mode Controller for Uncertain Nonlinear Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1328
EP - 1334
AU - Chung-Chun KUNG
AU - Ti-Hung CHEN
AU - Lei-Huan KUNG
PY - 2005
DO - 10.1093/ietfec/e88-a.5.1328
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 2005
AB - In this paper, a modified adaptive fuzzy sliding mode controller for a certain class of uncertain nonlinear systems is presented. We incorporate the fuzzy sliding mode control technique with a modified adaptive fuzzy control technique to design a modified adaptive fuzzy sliding mode controller so that the proposed controller is robust against the unmodeled dynamics and the approximation errors. Firstly, we establish a fuzzy model to describe the dynamic characteristics of the given uncertain nonlinear system. Then, based on the fuzzy model, a fuzzy sliding mode controller is designed. By considering both the information of tracking error and modeling error, the modified adaptive laws for tuning the adjustable parameters of the fuzzy model are derived based on the Lyapunov synthesis approach. Since the modified adaptive laws contain both the tracking error and the modeling error, it implies that the fuzzy model parameters would continuously converge until both the tracking error and modeling error converges to zero. An inverted pendulum control system is simulated to demonstrate the control performance by using the proposed method.
ER -
English
