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DEVELOPMENT OF FAULT TOLERANT CONTROL SYSTEM FOR CONDENSATION POWER TURBINE

机译:冷凝力涡轮机容错控制系统的开发

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摘要

An application of fault tolerant control (FTC) system for condensation turbine has been presented in the paper. The tolerance of instrument faults as well as the main actuator fault has been achieved by the use of functional redundancy which consists in performance of appropriate changes in the operation manner of the faulty system. The method of fuzzy neural networks (FNN) has been used for fault detection and isolation (FDI) purposes. The FNN models of turbine power, steam pressure and steam mass flow rate were created and verified. Also "2 from 3" hardware redundancy has been applied for the most important measurement, which is the turbine rotary speed. Appropriate control algorithms for different faulty situations have been prepared. The application has been developed in the Institute of Heat Engineering on the basis of ISaGRAF software and VME-DEVSYS VM30 industrial computer (Contron, former PEP Modular Computers).
机译:本文介绍了蓄尘涡轮机容错控制(FTC)系统的应用。通过使用功能冗余来实现仪器故障以及主执行器故障的容差,该功能冗余包括在故障系统的操作方式的适当变化的性能。模糊神经网络(FNN)的方法已被用于故障检测和隔离(FDI)目的。创建并验证了涡轮机电源,蒸汽压力和蒸汽质量流量的FNN模型。此外,“2起”硬件冗余已经应用于最重要的测量,这是涡轮机旋转速度。已经准备了适当的控制算法,用于不同故障情况。该申请已在热电工程研究所在ISAGRAF软件和VME-Devsys VM30工业计算机(Intron,以前的PEP模块化计算机)的基础上开发。

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