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Active Fault Tolerant Control with self-enrichment capability for gas turbine engines

机译:具有自浓功能的燃气轮机主动容错控制

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In this paper, an Active Fault Tolerant Control (AFTC) system with self-enrichment capability is proposed to deal with both the anticipated and unanticipated gas-path performance deteriorations in the industrial gas turbine engines. For this purpose, a hybrid fault diagnosis system with self-enrichment capability is proposed to take advantage of the positive features of fuzzy-based and global optimization-based Fault Detection and Identification (FDI) methods. The proposed FDI system provides the possibility of dealing with the unanticipated or unknown deteriorations. In order to design the proposed AFTC system, the parameters of the control system are optimized for a set of predefined deteriorations and through this a bank of control system parameters is created for the anticipated health conditions. The proposed FDI system verifies whether the detected health condition is an anticipated condition or not. In the case of the anticipated deteriorations, the proposed AFTC system selects the controller parameters from the bank of control system parameters, according to the current health condition; while in the case of the unanticipated deteriorations, the controller parameters will be determined through the optimization process. By adding the new set of optimized parameters to the bank of control system parameters, the database of the proposed AFTC system will gradually enrich to cope with a broader range of the engine deteriorations. The results obtained in the present work reveal that, the proposed AFTC system can preserve the engine safety and operational constraints; in the case of some deteriorations at the expense of a drop in the availability (due to a necessary trip or load shedding) and in some other cases even without losing the engine availability (by avoiding any unnecessary trip or load shedding). This is while, according to the results obtained, in the case of some health conditions, employing the controller designed for clean condition may cause the turbine over-temperature, loss of surge margin, and also a drop in the availability. (C) 2016 Elsevier Masson SAS. All rights reserved.
机译:在本文中,提出了一种具有自我增强功能的主动容错控制(AFTC)系统,以应对工业燃气涡轮发动机中预期和未预期的气路性能下降。为此,提出了一种具有自丰富能力的混合故障诊断系统,以利用基于模糊和基于全局优化的故障检测与识别(FDI)方法的积极特性。拟议的外国直接投资制度提供了应对意外或未知恶化的可能性。为了设计所提出的AFTC系统,针对一组预定义的劣化来优化控制系统的参数,并由此为预期的健康状况创建一组控制系统参数。提议的FDI系统将验证检测到的健康状况是否为预期状况。在预期的恶化情况下,建议的AFTC系统根据当前的健康状况从控制系统参数库中选择控制器参数。而在意外变差的情况下,将通过优化过程确定控制器参数。通过将新的一组优化参数添加到控制系统参数库中,拟议的AFTC系统的数据库将逐渐丰富起来,以应对更大范围的发动机劣化。在本工作中获得的结果表明,所提出的AFTC系统可以保留发动机的安全性和操作约束。在某些情况下,以降低可用性(由于必要的行程或减载)为代价,而在其他情况下,甚至不损失发动机的可用性(通过避免任何不必要的行程或减载)。根据获得的结果,在某些健康状况的情况下,使用为清洁状况设计的控制器可能会导致涡轮机过热,喘振裕度损失以及可用性下降。 (C)2016 Elsevier Masson SAS。版权所有。

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