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Data—Driven Design of a Fault Tolerant Fuzzy Controller for a Simulated Hydroelectric System

机译：模拟水电系统的容错模糊控制器的数据驱动设计

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This paper proposes a data-driven approach oriented to the design of a fault tolerant fuzzy controller for regulating the speed of a Francis turbine included in a hydroelectric system simulated in the Matlab and Simulink environments. The nonlinear characteristics of hydraulic turbine and the inelastic water hammer effects are considered to simulate the dynamic process. This strategy is suggested for enhancing the regulator derivation that could represent an alternative to the standard controllers in typical hydroelectric systems. The controller development requires the knowledge of the dynamic model of the monitored system, which is achieved by means of a fuzzy modelling and identification scheme. This feature of the work, followed by the proposed solution relying on a data-driven approach, represents the key point when on-line implementations are considered for a viable application of the proposed scheme. Moreover, by means of this design scheme, the proposed strategy is also able to provide a fault tolerant controller. In particular, the fault tolerance properties are achieved by using a so-called passive approach. It is assumed that the fault considered in this work affects the electric servomotor used as governor. The performances of the fault tolerant fuzzy controller is compared to that of a PID regulator and an adaptive PID controller scheme already implemented for the simulated hydroelectric system.
机译：本文提出了一种基于数据驱动的方法，旨在设计一种容错模糊控制器，用于调节Matlab和Simulink环境中模拟的水电系统中的混流式水轮机的速度。考虑了水轮机的非线性特性和非弹性水锤效应来模拟动态过程。建议采用此策略来增强调节器推导，这可以代表典型水力发电系统中标准控制器的替代方案。控制器开发需要了解被监控系统的动态模型，这是通过模糊建模和识别方案来实现的。这项工作的特点，再加上所提出的解决方案依赖于数据驱动的方法，代表了为实现所提出的方案的可行应用而考虑在线实施时的关键点。此外，借助该设计方案，所提出的策略还能够提供容错控制器。特别地，通过使用所谓的被动方法来实现容错特性。假定在这项工作中考虑的故障会影响用作调速器的电动伺服电机。将容错模糊控制器的性能与PID调节器的性能以及已针对模拟水电系统实施的自适应PID控制器方案进行了比较。

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