Dynamic-force extraction for micro-propulsion testing: Theory and experimental validation
A dynamic-force extraction, based on the least-squares method, is proposed for micro-propulsion testing. Having modeled the displacement oscillation of a micro-newton torsional pendulum, the time evolution of the dynamic force may be calculated if the stand constants are well calibrated. According t...
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| Veröffentlicht in: | Review of scientific instruments 2018-11, Vol.89 (11), p.115110-115110 |
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| container_title | Review of scientific instruments |
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| creator | Wang, Chuansheng Guan, Changbin Liu, Xuhui Wang, Xudong Li, Fei Yu, Xilong |
| description | A dynamic-force extraction, based on the least-squares method, is proposed for micro-propulsion testing. Having modeled the displacement oscillation of a micro-newton torsional pendulum, the time evolution of the dynamic force may be calculated if the stand constants are well calibrated. According to the linear characteristic of the motion equation, a reconstruction of the dynamic thrust reduces to solving linear equations. The simulation analysis shows that the error is affected by the sensor noise and the low-pass filter as well as the sampling rate. Validation experiments were performed showing that this method reconstructs the dynamic force well up to 8 Hz with an error less than 15 μN. The noise-induced error moreover varies little with frequency. |
| doi_str_mv | 10.1063/1.5037365 |
| format | Article |
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Having modeled the displacement oscillation of a micro-newton torsional pendulum, the time evolution of the dynamic force may be calculated if the stand constants are well calibrated. According to the linear characteristic of the motion equation, a reconstruction of the dynamic thrust reduces to solving linear equations. The simulation analysis shows that the error is affected by the sensor noise and the low-pass filter as well as the sampling rate. Validation experiments were performed showing that this method reconstructs the dynamic force well up to 8 Hz with an error less than 15 μN. The noise-induced error moreover varies little with frequency.</description><identifier>ISSN: 0034-6748</identifier><identifier>EISSN: 1089-7623</identifier><identifier>DOI: 10.1063/1.5037365</identifier><identifier>PMID: 30501320</identifier><identifier>CODEN: RSINAK</identifier><language>eng</language><publisher>United States: American Institute of Physics</publisher><subject>Computer simulation ; Equations of motion ; Error analysis ; Error detection ; Least squares method ; Linear equations ; Low pass filters ; Micropropulsion ; Scientific apparatus & instruments</subject><ispartof>Review of scientific instruments, 2018-11, Vol.89 (11), p.115110-115110</ispartof><rights>Author(s)</rights><rights>2018 Author(s). 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Having modeled the displacement oscillation of a micro-newton torsional pendulum, the time evolution of the dynamic force may be calculated if the stand constants are well calibrated. According to the linear characteristic of the motion equation, a reconstruction of the dynamic thrust reduces to solving linear equations. The simulation analysis shows that the error is affected by the sensor noise and the low-pass filter as well as the sampling rate. Validation experiments were performed showing that this method reconstructs the dynamic force well up to 8 Hz with an error less than 15 μN. The noise-induced error moreover varies little with frequency.</description><subject>Computer simulation</subject><subject>Equations of motion</subject><subject>Error analysis</subject><subject>Error detection</subject><subject>Least squares method</subject><subject>Linear equations</subject><subject>Low pass filters</subject><subject>Micropropulsion</subject><subject>Scientific apparatus & instruments</subject><issn>0034-6748</issn><issn>1089-7623</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kE1Lw0AQhhdRbK0e_AMS8KJC6s5-JfEm9RMKXurBU9hkN5qSL3cTsf_eqa0ePDiXgZlnXt55CTkGOgWq-CVMJeURV3KHjIHGSRgpxnfJmFIuQhWJeEQOvF9SLAmwT0acSgqc0TF5uVk1ui7zsGhdbgP72Tud92XbBDgIcOHasHNtN1R-Peyt78vm9SpYvNnWrQLdGLzprCtr2_S6Cj50VRq9Fjgke4WuvD3a9gl5vrtdzB7C-dP94-x6HuY85n0oIpblYMFYoRKRqSITRluIpBEik4ZFIoKkUEYxyjmTRQKx0lbhDomcSj4hZxtdtPk-oL-0Ln1uq0o3th18ykAklEnKBKKnf9BlO7gG3SHFJYdYJByp8w2Fv3vvbJF2-J52qxRous47hXSbN7InW8Uhq635JX8CRuBiA_i87L9z-UftC0j3hxI</recordid><startdate>201811</startdate><enddate>201811</enddate><creator>Wang, Chuansheng</creator><creator>Guan, Changbin</creator><creator>Liu, Xuhui</creator><creator>Wang, Xudong</creator><creator>Li, Fei</creator><creator>Yu, Xilong</creator><general>American Institute of Physics</general><scope>AJDQP</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-2251-4972</orcidid><orcidid>https://orcid.org/0000000222514972</orcidid></search><sort><creationdate>201811</creationdate><title>Dynamic-force extraction for micro-propulsion testing: Theory and experimental validation</title><author>Wang, Chuansheng ; Guan, Changbin ; Liu, Xuhui ; Wang, Xudong ; Li, Fei ; Yu, Xilong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c383t-472bc1e1de4694b6fb4dae175d44b5d274719f6d6203325f9186ae64b55d4c053</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Computer simulation</topic><topic>Equations of motion</topic><topic>Error analysis</topic><topic>Error detection</topic><topic>Least squares method</topic><topic>Linear equations</topic><topic>Low pass filters</topic><topic>Micropropulsion</topic><topic>Scientific apparatus & instruments</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Chuansheng</creatorcontrib><creatorcontrib>Guan, Changbin</creatorcontrib><creatorcontrib>Liu, Xuhui</creatorcontrib><creatorcontrib>Wang, Xudong</creatorcontrib><creatorcontrib>Li, Fei</creatorcontrib><creatorcontrib>Yu, Xilong</creatorcontrib><collection>AIP Open Access Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>MEDLINE - Academic</collection><jtitle>Review of scientific instruments</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Chuansheng</au><au>Guan, Changbin</au><au>Liu, Xuhui</au><au>Wang, Xudong</au><au>Li, Fei</au><au>Yu, Xilong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamic-force extraction for micro-propulsion testing: Theory and experimental validation</atitle><jtitle>Review of scientific instruments</jtitle><addtitle>Rev Sci Instrum</addtitle><date>2018-11</date><risdate>2018</risdate><volume>89</volume><issue>11</issue><spage>115110</spage><epage>115110</epage><pages>115110-115110</pages><issn>0034-6748</issn><eissn>1089-7623</eissn><coden>RSINAK</coden><abstract>A dynamic-force extraction, based on the least-squares method, is proposed for micro-propulsion testing. Having modeled the displacement oscillation of a micro-newton torsional pendulum, the time evolution of the dynamic force may be calculated if the stand constants are well calibrated. According to the linear characteristic of the motion equation, a reconstruction of the dynamic thrust reduces to solving linear equations. The simulation analysis shows that the error is affected by the sensor noise and the low-pass filter as well as the sampling rate. Validation experiments were performed showing that this method reconstructs the dynamic force well up to 8 Hz with an error less than 15 μN. The noise-induced error moreover varies little with frequency.</abstract><cop>United States</cop><pub>American Institute of Physics</pub><pmid>30501320</pmid><doi>10.1063/1.5037365</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-2251-4972</orcidid><orcidid>https://orcid.org/0000000222514972</orcidid><oa>free_for_read</oa></addata></record> |
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| language | eng |
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| source | AIP Journals Complete; Alma/SFX Local Collection |
| subjects | Computer simulation Equations of motion Error analysis Error detection Least squares method Linear equations Low pass filters Micropropulsion Scientific apparatus & instruments |
| title | Dynamic-force extraction for micro-propulsion testing: Theory and experimental validation |
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