Robust control of dielectric elastomer diaphragm actuator for replicating human pulse

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publication2016 IEEE International Conference on Automation Science and Engineering (CASE)
PublisherIEEE
Pages188-193
ISBN (Electronic)978-1-5090-2409-4
Publication statusPublished - Aug 2016

Publication series

Name
Volume2016-November
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Conference

Title2016 IEEE International Conference on Automation Science and Engineering, CASE 2016
PlaceUnited States
CityFort Worth
Period21 - 24 August 2016

Abstract

Human pulse replication is an emerging technology that enables telediagnosis in traditional Chinese medicine. However, soft actuation with multi-frequency tracking capability is in great need for replicating human pulse signal. Dielectric elastomer (DE) is one type of soft actuating materials, which shows great potential in human pulse replication. In this paper, we developed a model-based robust control for a DE diaphragm actuator to track human pulse signal. The DE diaphragm actuator is designed and fabricated. An empirical model of the DE actuator is developed to build a black-box model based on the experimental data. Based on the empirical model, an H-infinity robust control is designed to reject high-frequency sensing noises and disturbances. The robust control was then implemented in real-time to track human pulse signal. A human pulse signal was measured at the City University of Hong Kong and replicated at Wichita State University in US. Experimental data has verified that the DE actuator with its robust control was capable of replicating human pulse signal for telediagnosis.

Citation Format(s)

Robust control of dielectric elastomer diaphragm actuator for replicating human pulse. / Ye, Zhihang; Chen, Zheng; Kong, Ka Wai; Chan, Hoyin.

2016 IEEE International Conference on Automation Science and Engineering (CASE). IEEE, 2016. p. 188-193 7743379.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review