Decoupling Adaptive Sliding Mode Observer Design for Wind Turbines Subject to Simultaneous Faults in Sensors and Actuators

Hamed Habibi; Ian Howard; Silvio Simani; Afef Fekih

doi:10.1109/JAS.2021.1003931

Volume 8 Issue 4

Apr. 2021

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2021 > 8(4): 837-847

Hamed Habibi, Ian Howard, Silvio Simani, and Afef Fekih, "Decoupling Adaptive Sliding Mode Observer Design for Wind Turbines Subject to Simultaneous Faults in Sensors and Actuators," IEEE/CAA J. Autom. Sinica, vol. 8, no. 4, pp. 837-847, Apr. 2021. doi: 10.1109/JAS.2021.1003931

Citation:

Hamed Habibi, Ian Howard, Silvio Simani, and Afef Fekih, "Decoupling Adaptive Sliding Mode Observer Design for Wind Turbines Subject to Simultaneous Faults in Sensors and Actuators," IEEE/CAA J. Autom. Sinica, vol. 8, no. 4, pp. 837-847, Apr. 2021. doi: 10.1109/JAS.2021.1003931

Citation:

Hamed Habibi, Ian Howard, Silvio Simani, and Afef Fekih, "Decoupling Adaptive Sliding Mode Observer Design for Wind Turbines Subject to Simultaneous Faults in Sensors and Actuators," IEEE/CAA J. Autom. Sinica, vol. 8, no. 4, pp. 837-847, Apr. 2021. doi: 10.1109/JAS.2021.1003931

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Decoupling Adaptive Sliding Mode Observer Design for Wind Turbines Subject to Simultaneous Faults in Sensors and Actuators

doi: 10.1109/JAS.2021.1003931

1.
School of Civil and Mechanical Engineering, Curtin University, WA 6102, Australia
2.
Department of Engineering, University of Ferrara, Ferrara 44100, Italy
3.
Department of Electrical and Computer Engineering, University of Louisiana at Lafayette, Louisiana 70504 USA

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Author Bio:
Hamed Habibi (M’19) received the B.Sc. degree from Khaje Nasir University, Iran, in 2010, the M.Sc. degree from the University of Tehran, Iran, in 2013, and the Ph.D. degree from Curtin University, Australia, in 2019, all in mechanical engineering. He is with the School of Civil and Mechanical Engineering, Curtin University, Australia. He also was a Research Assistant with the College of Science, Health, Engineering and Education, Murdoch University, Australia. His current research interests include nonlinear control systems, constrained control, fault detection, and fault tolerant control with applications on wind turbines

Ian Howard graduated from the University of Western Australia with the bachelor’s degree and doctorate in mechanical engineering in 1984 and 1988, respectively. He then worked for the Defence Science and Technology Organization for five years researching helicopter gear health monitoring using vibration. In 1994 he joined the Curtin University of Technology as a Lecturer in the area of applied mechanics and dynamic systems. In 1998 he was promoted to Senior Lecturer, in 2004 to Associate Professor, and Full Professor in 2016. He continues to supervise research in the dynamic behaviour of rotating machinery for fault detection and classification, developing power harvesting and smart sensor devices for industrial applications, and investigating fault tolerant control techniques for wind turbine systems

Silvio Simani (S’99–M’99–SM’06) received the M.Sc. degree in electronic engineering from the University of Ferrara, Italy, in 1996, and the Ph.D. degree in information sciences (automatic control area) from the University of Modena and Reggio Emilia, Italy, in 2000. Since 2000, he has been a Member of the SAFEPROCESS Technical Committee. In 2002, he became an Assistant Professor with the Department of Engineering, University of Ferrara, where he has been an Associate Professor since 2014. His research interests include fault diagnosis, fault-tolerant control, and system identification, on which he has published about 160 refereed journal and conference papers, as well as three books and chapters

Afef Fekih (SM’07) received the B.S., M.S., and Ph.D. degrees, all in electrical engineering from the National Engineering School of Tunis, Tunisia in 1995, 1998, and 2002, respectively. She is currently a Full Professor in the Department of Electrical and Computer Engineering and the Chevron/BORSF Professor in engineering at the University of Louisiana at Lafayette, USA. Her research interests focus on control theory and applications, including nonlinear and robust control, optimal control, fault tolerant control with applications to power systems, wind turbines, unmanned vehicles, and automotive engines. She is a Member of the IEEE Control Systems Society, and the IEEE Women in Control Society
Corresponding author: Afef Fekih, e-mail: afef.fekih@louisiana.edu
Received Date: 2020-12-18
Accepted Date: 2021-01-19

Available Online: 2021-01-22

Abstract

Abstract

This paper proposes an adaptive sliding mode observer (ASMO)-based approach for wind turbines subject to simultaneous faults in sensors and actuators. The proposed approach enables the simultaneous detection of actuator and sensor faults without the need for any redundant hardware components. Additionally, wind speed variations are considered as unknown disturbances, thus eliminating the need for accurate measurement or estimation. The proposed ASMO enables the accurate estimation and reconstruction of the descriptor states and disturbances. The proposed design implements the principle of separation to enable the use of the nominal controller during faulty conditions. Fault tolerance is achieved by implementing a signal correction scheme to recover the nominal behavior. The performance of the proposed approach is validated using a 4.8 MW wind turbine benchmark model subject to various faults. Monte-Carlo analysis is also carried out to further evaluate the reliability and robustness of the proposed approach in the presence of measurement errors. Simplicity, ease of implementation and the decoupling property are among the positive features of the proposed approach.
- Fault tolerant control,
- horizontal axis wind turbines,
- Monte-Carlo analysis,
- principle of separation,
- simultaneous faults,
- sliding mode observer

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References

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Highlights

A simple design enabling the detection of simultaneous sensor and actuator faults,
Recovering the principle of separation and enabling the use of the nominal controller,
Easy to implement and computationally-inexpensive wind turbine control design.

Decoupling Adaptive Sliding Mode Observer Design for Wind Turbines Subject to Simultaneous Faults in Sensors and Actuators

doi: 10.1109/JAS.2021.1003931

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