An intelligent Q-parameterization control design that captures non-linearity and fuzziness of uncertain magnetic bearing system

M. Fekry; Abdelfatah M. Mohamed; M. Fanni

doi:10.1109/CCA.2015.7320756

An intelligent Q-parameterization control design that captures non-linearity and fuzziness of uncertain magnetic bearing system

M. Fekry, Abdelfatah M. Mohamed, M. Fanni

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

4 Citations (Scopus)

Abstract

This paper presents a systematic procedure to design a robust gain scheduled Q-parametrization Takagi-Sugeno (TS) fuzzy controller for non-linear magnetic bearing system with imbalance. First, a mathematical model of non-linear magnetic bearing model is presented. Second, the system is linearized around various operating points to overcome the model non-linearity by increasing the operating envelop. Third, the Q-parametrization observer based stabilizing controller with TS fuzzy systems is explained which combines both the intelligence of fuzzy systems and robustness of Q-parametrization. Forth, the proposed controller is applied to a non-linear magnetic bearing system. Finally, the simulation results are presented. The results manifest the ability of proposed controller to overcome the model non-linearity by increasing the dynamic operating range up-to more than 80% of gap length and reject imbalance disturbances under different speeds.

Original language	English
Title of host publication	2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1078-1083
Number of pages	6
ISBN (Electronic)	9781479977871
DOIs	https://doi.org/10.1109/CCA.2015.7320756
Publication status	Published - Nov 4 2015
Externally published	Yes
Event	IEEE Conference on Control and Applications, CCA 2015 - Sydney, Australia Duration: Sept 21 2015 → Sept 23 2015

Publication series

Name	2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings

Other

Other	IEEE Conference on Control and Applications, CCA 2015
Country/Territory	Australia
City	Sydney
Period	9/21/15 → 9/23/15

All Science Journal Classification (ASJC) codes

Control and Systems Engineering

Access to Document

10.1109/CCA.2015.7320756

Cite this

Fekry, M., Mohamed, A. M., & Fanni, M. (2015). An intelligent Q-parameterization control design that captures non-linearity and fuzziness of uncertain magnetic bearing system. In 2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings (pp. 1078-1083). [7320756] (2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCA.2015.7320756

An intelligent Q-parameterization control design that captures non-linearity and fuzziness of uncertain magnetic bearing system. / Fekry, M.; Mohamed, Abdelfatah M.; Fanni, M.
2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1078-1083 7320756 (2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings).

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

Fekry, M, Mohamed, AM & Fanni, M 2015, An intelligent Q-parameterization control design that captures non-linearity and fuzziness of uncertain magnetic bearing system. in 2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings., 7320756, 2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1078-1083, IEEE Conference on Control and Applications, CCA 2015, Sydney, Australia, 9/21/15. https://doi.org/10.1109/CCA.2015.7320756

Fekry M, Mohamed AM, Fanni M. An intelligent Q-parameterization control design that captures non-linearity and fuzziness of uncertain magnetic bearing system. In 2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1078-1083. 7320756. (2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings). doi: 10.1109/CCA.2015.7320756

Fekry, M. ; Mohamed, Abdelfatah M. ; Fanni, M. / An intelligent Q-parameterization control design that captures non-linearity and fuzziness of uncertain magnetic bearing system. 2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1078-1083 (2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings).

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abstract = "This paper presents a systematic procedure to design a robust gain scheduled Q-parametrization Takagi-Sugeno (TS) fuzzy controller for non-linear magnetic bearing system with imbalance. First, a mathematical model of non-linear magnetic bearing model is presented. Second, the system is linearized around various operating points to overcome the model non-linearity by increasing the operating envelop. Third, the Q-parametrization observer based stabilizing controller with TS fuzzy systems is explained which combines both the intelligence of fuzzy systems and robustness of Q-parametrization. Forth, the proposed controller is applied to a non-linear magnetic bearing system. Finally, the simulation results are presented. The results manifest the ability of proposed controller to overcome the model non-linearity by increasing the dynamic operating range up-to more than 80% of gap length and reject imbalance disturbances under different speeds.",

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An intelligent Q-parameterization control design that captures non-linearity and fuzziness of uncertain magnetic bearing system

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