Data-driven Adaptive Thresholding Model for Real-time Valve Delay Estimation in Digital Pump/Motors

Authors

  • Abdallah Chehade University of Michigan-Dearborn 4901 Evergreen Rd. Dearborn, MI 48128, USA
  • Farid Breidi University of Southern Indiana 8600 University Blvd. Evansville, IN 47712, USA
  • Keith Scott Pate Allison Transmission One Allison Way Indianapolis, IN 46222, USA
  • John Lumkes Purdue University 225 South University St. West Lafayette, IN 47907, USA

DOI:

https://doi.org/10.13052/ijfp1439-9776.2031

Keywords:

Digital Pump Motor, Digital Hydraulics, Fluid Power, Valve Timing, Valve

Abstract

Valve characteristics are an essential part of digital hydraulics. The on/off solenoid valves utilized on many of these systems can significantly affect the performance. Various factors can affect the speed of the valves causing them to experience various delays, which impact the overall performance of hydraulic systems. This work presents the development of an adaptive statistical based thresholding real-time valve delay model for digital Pump/Motors. The proposed method actively measures the valve delays in real-time and adapts the threshold of the system with the goal of improving the overall efficiency and performance of the system. This work builds on previous work by evaluating an alternative method used to detect valve delays in real-time. The method used here is a shift detection method for the pressure signals that utilizes domain knowledge and the system’s historical statistical behavior. This allows the model to be used over a large range of operating conditions, since the model can learn patterns and adapt to various operating conditions using domain knowledge and statistical behavior. A hydraulic circuit was built to measure the delay time experienced from the time the signal is sent to the valve to the time that the valve opens. Experiments were conducted on a three piston in-line digital pump/motor with 2 valves per cylinder, at low and high pressure ports, for a total of six valves. Two high frequency pressure transducers were used in this circuit to measure and analyze the differential pressure on the low and high pressure side of the on/off valves, as well as three in-cylinder pressure transducers. Data over 60 cycles was acquired to analyze the model against real time valve delays. The results show that the algorithm was successful in adapting the threshold for real time valve delays and accurately measuring the valve delays. 

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Author Biographies

Abdallah Chehade, University of Michigan-Dearborn 4901 Evergreen Rd. Dearborn, MI 48128, USA

Abdallah Chehade received the B.S. degree in mechanical engineering from the American University of Beirut in 2011, M.S. in mechanical engineering and M.S. and Ph.D. in industrial engineering from the University of Wisconsin-Madison in 2014 and 2017. He is an assistant professor at the University of Michigan-Dearborn. His research interests are data fusion for process modeling and optimization of data-analysis.

Farid Breidi, University of Southern Indiana 8600 University Blvd. Evansville, IN 47712, USA

Farid Breidi is an Assistant Professor at the University of Southern Indiana. He received his B.E. in Mechanical Engineering from the American University of Beirut in 2010, M.S. in Mechanical Engineering from the University of Wisconsin-Madison in 2012, and Ph.D. in fluid power from Purdue University in 2016. His research interests include digital fluid power and modeling of dynamic systems.

Keith Scott Pate, Allison Transmission One Allison Way Indianapolis, IN 46222, USA

Keith S. Pate is a Supplier Quality Engineer at Allison Transmission. He received a dual undergraduate degree in General Engineering and Mechanical Engineering from the University of Southern Indiana in 2019. His interests include mechanical design, fluid power, and automotive engineering.

John Lumkes, Purdue University 225 South University St. West Lafayette, IN 47907, USA

John received the B.S.E. degree from Calvin College in 1990, M.S.E. from the University of Michigan-Ann Arbor in 1992, and Ph.D. from the University of Wisconsin-Madison in 1997. From 1997-2004 he was an Assistant and Associate Professor at Milwaukee School of Engineering. In 2004 he joined Purdue University where he is a Professor and is active in digital hydraulics.

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Published

2020-03-09

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