Parameter-Invariant Actuator Fault Diagnostics in Cyber-Physical Systems with Application to Building Automation

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• 作者：James Weimer (1)
  José Araujo (2)
  Mani Amoozadeh (2)
  Seyed Alireza Ahmadi (2)
  Henrik Sandberg (2)
  Karl Henrik Johansson (2)
  
• 关键词：building automation ; fault detection and diagnostics (FDD) ; invariant hypothesis testing ; heating ventilation and air conditioning (HVAC) systems
• 刊名：Lecture Notes in Control and Information Sciences
• 出版年：2013
• 出版时间：2013
• 年：2013
• 卷：449
• 期：1
• 页码：197-216
• 全文大小：958KB
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• 作者单位：James Weimer (1)
  José Araujo (2)
  Mani Amoozadeh (2)
  Seyed Alireza Ahmadi (2)
  Henrik Sandberg (2)
  Karl Henrik Johansson (2)
  
  1. Department of Computer and Information Sciences School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA
  2. ACCESS Linnaeus Centre, School of Electrical Engineering, KTH Royal Institute of Technology, Stockholm, Sweden, 10044
  

文摘

This paper introduces a robust method for performing active actuator fault detection and diagnostics (FDD) in heating ventilation and air conditioning (HVAC) systems. The proposed actuator FDD strategy, for testing whether an actuator is stuck in a given position, is designed on using an invariant hypothesis testing approach and is an improvement of a previous strategy that employed an adaptive detection strategy. The parameter-invariant detector is formulated to provide a constant detection performance, invariant to unknown building parameters, and it is described how this approach can replace the adaptive detector in the previous work. A closed-loop experimental HVAC testbed at the KTH Royal Institute of Technology campus in Stockholm, Sweden is introduced and employed to evaluate the parameter-invariant detector.