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hardware-In-The-loop Assessment of a Fault Tolerant Fuzzy Control Scheme for an Offshore Wind Farm Simulator 11th

Hardware-In-The-Loop Assessment of a Fault Tolerant Fuzzy Co...

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11th International-Federation-of-Automatic-Control (IFAC) Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

作者： Simani, Silvio Farsoni, Saverio Turhan, Cihan Univ Ferrara Dept Engn Ferrara Italy Atilim Univ Energy Syst Engn Ankara Turkey

To enhance both the safety and the efficiency of offshore wind park systems, faults must be accommodated in their earlier occurrence, in order to avoid costly unplanned maintenance. Therefore, this paper aims at implementing a fault tolerant control strategy by means of a data-driven approach relying on fuzzy logic. In particular, fuzzy modelling is considered here as it enables to approximate unknown nonlinear relations, while managing uncertain measurements and disturbance. On the other hand, the model of the fuzzy controller is directly estimated from the input-output signals acquired from the wind farm system, with fault tolerant capabilities. In general, the use of purely nonlinear relations and analytic methods would require more complex design tools. The design is therefore enhanced by the use of fuzzy model prototypes obtained via a data-driven approach, thus representing the key point if real-time solutions have to implement the proposed fault tolerant control strategy. Finally, a high-fidelity simulator relying on a hardware-in-the-loop tool is exploited to verify and validate the reliability and robustness characteristics of the developed methodology also for on-line and more realistic implementations. Copyright (C) 2022 The Authors.

关键词： Fault tolerant control fuzzy logic data-driven approach hardware-in-the-loop tool offshore wind park

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hardware-In-The-loop Assessment of Fuzzy and Neural Network Fault Diagnosis Schemes for a Wind Turbine Model 11th

Hardware-In-The-Loop Assessment of Fuzzy and Neural Network ...

引用

11th International-Federation-of-Automatic-Control (IFAC) Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

作者： Simani, Silvio Farsoni, Saverio Univ Ferrara Dept Engn Ferrara Italy

The fault diagnosis of wind turbines includes extremely challenging aspects that motivate the research issues considered in this paper. In particular, this work studies fault diagnosis solutions that are considered in a viable way and used as advanced techniques for condition monitoring of dynamic processes. To this end, the work proposes the design of fault diagnosis techniques that exploits the estimation of the fault by means of data-driven approaches. These fuzzy and neural network structures are integrated with auto-regressive with exogenous input regressors, thus making them able to approximate unknown nonlinear dynamic functions with arbitrary degree of accuracy. The capabilities of fault diagnosis schemes are validated by using a real-time simulator of a wind turbine system. Moreover, at this stage the benchmark is also useful to analyse the robustness and the reliability characteristics of the developed tools in the presence of model-reality mismatch and modelling error effects featured by the wind turbine simulator. This realistic simulator relies on a hardware-in-the-loop tool that is finally implemented for verifying and validating the performance of the developed fault diagnosis strategies in an actual environment. Copyright (C) 2022 The Authors.

关键词： Fault diagnosis fuzzy logic neural network data-driven approach hardware-in-the-loop tool wind turbine system

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hardware-In-The-loop Assessment of Robust Fuzzy Control Solutions for Hydroelectric and Wind Turbine Models 11th

Hardware-In-The-Loop Assessment of Robust Fuzzy Control Solu...

引用

11th International-Federation-of-Automatic-Control (IFAC) Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

作者： Simani, Silvio Alvisi, Stefano Venturini, Mauro Univ Ferrara Dept Engn Ferrara Italy

The interest towards renewable energy resources is increasing, and in particular it concerns wind and hydro powers, where the key point regards their efficient conversion into electric energy. To this end, control techniques can be used to meet this purpose, especially the ones relying on fuzzy models, due to their capabilities to manage nonlinear dynamic processes working in different conditions, and affected by faults, measurement errors, uncertainty and disturbances. The design methods addressed in this paper were already developed and validated for wind turbine plants, and important results can be achieved from their appropriate design and application to hydroelectric plants. This is the key issue of the paper, which recalls some considerations on the proposed solutions, as well as their validation to these energy conversion systems. Note that works available in the related literature that consider both wind and hydraulic energy conversion systems investigate a limited number of common issues, thus leading to little exchange opportunities and reduced common research aspects. Another important point addressed in the paper is that the proposed control design solutions are able to take into account the different working conditions of these power plants. Moreover, faults, uncertainty, disturbance and model reality mismatch effects are also considered when analyzing the reliability and robustness features of the derived control schemes. To this end, proper hardware in the loop tools are considered to verify and validate the developed control schemes in more realistic environments. Copyright (C) 2022 The Authors.

关键词： Fuzzy logic process control hydroelectric process wind turbine system passive fault tolerant control robustness hardware-in-the-loop tool

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