Nathan P. Hagstrom, Michael Harens, Arpan Chatterjee, E CreswickMatthew
{"title":"Piezoelectric Actuation to Reduce Pump Flow Ripple","authors":"Nathan P. Hagstrom, Michael Harens, Arpan Chatterjee, E CreswickMatthew","doi":"10.1115/fpmc2019-1611","DOIUrl":"https://doi.org/10.1115/fpmc2019-1611","url":null,"abstract":"\u0000 Pump flow ripple is a source of noise and pressure fluctuation that can result in unwanted behavior and failure of a hydraulic system. The intent of this paper is to present and model a novel method to reduce flow ripple using piezoelectric actuators, which are currently limited to applications in micro-scale pumps. The paper presents two methods for reducing pump flow ripple in a hydraulic system. The first method uses a piezoelectric actuated valve which governs the pump displacement. The second method employs a piezoelectric actuated cylinder that acts directly on the outlet fluid to reduce the flow ripple from the pump. Method one was not able to reduce the flow ripple due to the bandwidth limitations of the swash plate actuation cylinder. Method two was able to reduce the flow ripple significantly. Further improvements on method two were achieved by increasing the number and size of the piezoelectric actuated cylinders acting at the pump outlet. After optimization, it was found that method two was found to decrease pump ripple by up to 53.5% from the baseline pump output. Though method one is largely unsuccessful, it is found that method two is successful and becomes more effective as the number and size of the piezoelectric actuated cylinders increase.","PeriodicalId":262589,"journal":{"name":"ASME/BATH 2019 Symposium on Fluid Power and Motion Control","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122668213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"H\u0000 2-Optimal Low Order Transmission Line Models","authors":"B. Manhartsgruber","doi":"10.1115/fpmc2019-1688","DOIUrl":"https://doi.org/10.1115/fpmc2019-1688","url":null,"abstract":"\u0000 Transmission line modeling has played a crucial role in understanding the dynamics of fluid power systems. A vast body of literature exists from simple lumped parameter approaches to fully coupled three-dimensional fluid structure interaction models. When it comes to computationally efficient, yet physically sound low order models needed for fast computations iteratively called by optimization codes or for the purpose of model based control design, there is still room for improvement. Modal approximations of the input-output behaviour of liquid transmission lines have been around for decades. The basic idea of tuning the parameters of a canonical linear time invariant state space model to fit the transfer functions of a transmission line model in the H2-optimal sense under passivity constraints has been published by the author of the present paper in the past. However, the method so far was barely usable due to numerical difficulties in the underlying optimization process. A new implementation of the method employing quadruple-precision floating point numbers has recently been found to resolve the convergence problems and is reported in the present paper. The new version of the method is based on analytic computation of the cost and constraint functions as well as their gradients in the computer algebra package Maple and automatic code generation for compilation in FORTRAN. Results are very promising because both the entire low frequency behaviour and the first three eigenmodes of a transmission line model can be accurately covered by a model of order eight only.","PeriodicalId":262589,"journal":{"name":"ASME/BATH 2019 Symposium on Fluid Power and Motion Control","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132803923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}