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MODEL-BASED MACHINE LEARING CONTROL SYSTEM AND METHOD FOR TUNING POWER PRODUCTION EMISSIONS

机译:基于模型的机器学习控制系统及发电量调整方法

摘要

A model-based control system comprises a processor. The processor is configured to select a desired parameter of a machinery configured to produce power and to output emissions, and to select an emissions model configured to use the desired parameter as input and to output an emissions parameter. The processor is further configured to continuously tune the emissions model during operations of the machinery via a tuning system to derive a setpoint, and to adjust the setpoint by applying a tuning bias, wherein the tuning bias is continuously updated via segmented linear regression. The processor is additionally configured to control one or more actuators coupled to the machinery based on the adjusted setpoint.
机译:基于模型的控制系统包括处理器。处理器配置成选择配置成产生功率并输出排放的机械的期望参数,并选择配置成使用期望参数作为输入并输出排放参数的排放模型。处理器还被配置为在机械操作期间经由调谐系统连续地调节排放模型以得出设定点,并且通过施加调谐偏差来调节设定点,其中,经由分段线性回归连续地更新调谐偏差。处理器还被配置为基于调整后的设定点控制连接至机械的一个或多个致动器。

著录项

  • 公开/公告号US2019056702A1

    专利类型

  • 公开/公告日2019-02-21

    原文格式PDF

  • 申请/专利权人 GENERAL ELECTRIC COMPANY;

    申请/专利号US201715682334

  • 发明设计人 MATHEW DOYLE ANGEL;BRIAN WHITRIGHT;

    申请日2017-08-21

  • 分类号G05B13/04;G05B13/02;

  • 国家 US

  • 入库时间 2022-08-21 12:06:46

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