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

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IEEE/CAA Journal of Automatica Sinica 2021年第4期8卷 837-847页

作者： Hamed Habibi Ian Howard Silvio Simani Afef Fekih School of Civil and Mechanical Engineering Curtin UniversityWA 6102Australia Department of Engineering University of FerraraFerrara 44100Italy Department of Electrical and Computer Engineering University of Louisiana at LafayetteLouisiana 70504 USA

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.

关键词： Fault tolerant control horizontal axis wind turbines Monte-Carlo analysis principle of separation simultaneous faults sliding mode observer

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Assessment of Regional Dietary Exposure to Dioxins in Seafood in Japan

Assessment of Regional Dietary Exposure to Dioxins in Seafoo...

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首届风险分析与危机反应国际学术研讨会

作者： Noriyuki Suzuki Takeo Sakurai National Institute for Environmental Studies 16-2 OnogawaTsukubaIbaraki305-8506Japan National Institute for Environmental Studies 16-2 OnogawaTsukubaIbaraki305-8506Japan

＜正＞This paper presents a method of estimating dietary exposure to dioxins in specific region from monitoring data of dioxins concentration in seafood by catching area and information of seafood circulation.monte- carlo method was applied to take into account both the uncertainty of measured value of dioxins levels in fishes and variability between fish species.The seafood circulation was simulated with a linear programming （LP） model.Dietary exposure to dioxins in seafood in seven regions in Japan was estimated and compared with the results of Total Dietary Studies （TDS）.No significant geographical variability of dietary exposure to dioxins in seafood was observed for general population in Japan.

关键词： Seafood Dioxins Regional dietary exposure Monte-Carlo analysis

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