Fuzzy adaptive optimal backstepping control of the FO MEMS resonator under imprecise target trajectory with disturbance compensation mechanism
With the deep research of the fractional-order (FO) calculus theory, it has been found that the FO model can more realistically depict electromechanical devices with viscoelastic characteristics, such as the micro-electromechanical system (MEMS) resonator. Dynamic analysis is an important link to de...
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description | With the deep research of the fractional-order (FO) calculus theory, it has been found that the FO model can more realistically depict electromechanical devices with viscoelastic characteristics, such as the micro-electromechanical system (MEMS) resonator. Dynamic analysis is an important link to deeply understanding the dynamic characteristics of the system. Therefore, we established the FO model and FO circuit differential equation of the MEMS resonator and revealed that the chaos oscillation in the MEMS resonator is closely related to order
α
and parameter
V
AC
through dynamic analysis including numerical simulation and analog circuit. For suppressing the chaos oscillation, we integrate the optimal control into the technical framework of fuzzy adaptive backstepping control, and then design a fuzzy adaptive optimal backstepping controller with a disturbance compensation mechanism. In the design of the controller, firstly, to reduce the damage caused by the matched disturbance for the control effect, a disturbance compensation mechanism based on the FO disturbance observer is proposed. Secondly, to approximate the unknown function in the FO MEMS resonator, the interval type-3 fuzzy logic system (IT3FLS) with adaptive law is constructed. Then, the Fourier series and IT3FLS are introduced to reconstruct the imprecise target trajectory, and the FO hyperbolic tangent tracking differentiator (HTTD) is introduced to deal with the “explosion of complexity” associated with traditional backstepping. Finally, the optimal control input is designed to improve the tracking accuracy of the controller and minimize the cost function, and the effectiveness and robustness of the designed controller are verified by simulation results. |
doi_str_mv | 10.1007/s11071-023-08744-9 |
format | Article |
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α
and parameter
V
AC
through dynamic analysis including numerical simulation and analog circuit. For suppressing the chaos oscillation, we integrate the optimal control into the technical framework of fuzzy adaptive backstepping control, and then design a fuzzy adaptive optimal backstepping controller with a disturbance compensation mechanism. In the design of the controller, firstly, to reduce the damage caused by the matched disturbance for the control effect, a disturbance compensation mechanism based on the FO disturbance observer is proposed. Secondly, to approximate the unknown function in the FO MEMS resonator, the interval type-3 fuzzy logic system (IT3FLS) with adaptive law is constructed. Then, the Fourier series and IT3FLS are introduced to reconstruct the imprecise target trajectory, and the FO hyperbolic tangent tracking differentiator (HTTD) is introduced to deal with the “explosion of complexity” associated with traditional backstepping. Finally, the optimal control input is designed to improve the tracking accuracy of the controller and minimize the cost function, and the effectiveness and robustness of the designed controller are verified by simulation results.</description><identifier>ISSN: 0924-090X</identifier><identifier>EISSN: 1573-269X</identifier><identifier>DOI: 10.1007/s11071-023-08744-9</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Adaptive control ; Analog circuits ; Automotive Engineering ; Classical Mechanics ; Compensation ; Control ; Control systems design ; Controllers ; Cost function ; Design ; Differential equations ; Disturbance observers ; Dynamic characteristics ; Dynamical Systems ; Electromechanical devices ; Engineering ; Fourier series ; Fuzzy control ; Fuzzy logic ; Mathematical models ; Mechanical Engineering ; Microelectromechanical systems ; Optimal control ; Original Paper ; Resonators ; Robust control ; Tracking control ; Vibration</subject><ispartof>Nonlinear dynamics, 2023-10, Vol.111 (19), p.17939-17959</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-9a7d066dadf8859f37061aee3e860f45dc5d3520e3c736077f0f2dc941180f983</citedby><cites>FETCH-LOGICAL-c319t-9a7d066dadf8859f37061aee3e860f45dc5d3520e3c736077f0f2dc941180f983</cites><orcidid>0000-0001-8761-5195</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11071-023-08744-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11071-023-08744-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51298</link.rule.ids></links><search><creatorcontrib>Zhao, Le</creatorcontrib><creatorcontrib>Yang, Guanci</creatorcontrib><creatorcontrib>Li, Yang</creatorcontrib><creatorcontrib>Hu, Xuechun</creatorcontrib><title>Fuzzy adaptive optimal backstepping control of the FO MEMS resonator under imprecise target trajectory with disturbance compensation mechanism</title><title>Nonlinear dynamics</title><addtitle>Nonlinear Dyn</addtitle><description>With the deep research of the fractional-order (FO) calculus theory, it has been found that the FO model can more realistically depict electromechanical devices with viscoelastic characteristics, such as the micro-electromechanical system (MEMS) resonator. Dynamic analysis is an important link to deeply understanding the dynamic characteristics of the system. Therefore, we established the FO model and FO circuit differential equation of the MEMS resonator and revealed that the chaos oscillation in the MEMS resonator is closely related to order
α
and parameter
V
AC
through dynamic analysis including numerical simulation and analog circuit. For suppressing the chaos oscillation, we integrate the optimal control into the technical framework of fuzzy adaptive backstepping control, and then design a fuzzy adaptive optimal backstepping controller with a disturbance compensation mechanism. In the design of the controller, firstly, to reduce the damage caused by the matched disturbance for the control effect, a disturbance compensation mechanism based on the FO disturbance observer is proposed. Secondly, to approximate the unknown function in the FO MEMS resonator, the interval type-3 fuzzy logic system (IT3FLS) with adaptive law is constructed. Then, the Fourier series and IT3FLS are introduced to reconstruct the imprecise target trajectory, and the FO hyperbolic tangent tracking differentiator (HTTD) is introduced to deal with the “explosion of complexity” associated with traditional backstepping. Finally, the optimal control input is designed to improve the tracking accuracy of the controller and minimize the cost function, and the effectiveness and robustness of the designed controller are verified by simulation results.</description><subject>Adaptive control</subject><subject>Analog circuits</subject><subject>Automotive Engineering</subject><subject>Classical Mechanics</subject><subject>Compensation</subject><subject>Control</subject><subject>Control systems design</subject><subject>Controllers</subject><subject>Cost function</subject><subject>Design</subject><subject>Differential equations</subject><subject>Disturbance observers</subject><subject>Dynamic characteristics</subject><subject>Dynamical Systems</subject><subject>Electromechanical devices</subject><subject>Engineering</subject><subject>Fourier series</subject><subject>Fuzzy control</subject><subject>Fuzzy logic</subject><subject>Mathematical models</subject><subject>Mechanical Engineering</subject><subject>Microelectromechanical systems</subject><subject>Optimal control</subject><subject>Original Paper</subject><subject>Resonators</subject><subject>Robust control</subject><subject>Tracking control</subject><subject>Vibration</subject><issn>0924-090X</issn><issn>1573-269X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kMFu1DAURS1UJKaFH2BlqeuU5ziJ7SWqOi1Sqy4AqTvLtZ9nMkzs1HaKph_BN2MYpO5Y3c2590qHkI8MLhiA-JQZA8EaaHkDUnRdo96QFesFb9pBPZyQFai2a0DBwztymvMOAHgLckV-rZeXlwM1zsxlfEYaa0xmTx-N_ZELzvMYNtTGUFLc0-hp2SJd39O7q7uvNGGOwZSY6BIcJjpOc0I7ZqTFpA0WWpLZoa3Agf4cy5a6MZclPZpgsW5OM4ZsyhgDndBuTRjz9J689Waf8cO_PCPf11ffLm-a2_vrL5efbxvLmSqNMsLBMDjjvJS98lzAwAwiRzmA73pne8f7FpBbwQcQwoNvnVUdYxK8kvyMnB935xSfFsxF7-KSQr3UreylBN4NUKn2SNkUc07o9ZyqnXTQDPQf7_roXVfv-q93rWqJH0u5wmGD6XX6P63fRLyJMw</recordid><startdate>20231001</startdate><enddate>20231001</enddate><creator>Zhao, Le</creator><creator>Yang, Guanci</creator><creator>Li, Yang</creator><creator>Hu, Xuechun</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0001-8761-5195</orcidid></search><sort><creationdate>20231001</creationdate><title>Fuzzy adaptive optimal backstepping control of the FO MEMS resonator under imprecise target trajectory with disturbance compensation mechanism</title><author>Zhao, Le ; Yang, Guanci ; Li, Yang ; Hu, Xuechun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-9a7d066dadf8859f37061aee3e860f45dc5d3520e3c736077f0f2dc941180f983</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adaptive control</topic><topic>Analog circuits</topic><topic>Automotive Engineering</topic><topic>Classical Mechanics</topic><topic>Compensation</topic><topic>Control</topic><topic>Control systems design</topic><topic>Controllers</topic><topic>Cost function</topic><topic>Design</topic><topic>Differential equations</topic><topic>Disturbance observers</topic><topic>Dynamic characteristics</topic><topic>Dynamical Systems</topic><topic>Electromechanical devices</topic><topic>Engineering</topic><topic>Fourier series</topic><topic>Fuzzy control</topic><topic>Fuzzy logic</topic><topic>Mathematical models</topic><topic>Mechanical Engineering</topic><topic>Microelectromechanical systems</topic><topic>Optimal control</topic><topic>Original Paper</topic><topic>Resonators</topic><topic>Robust control</topic><topic>Tracking control</topic><topic>Vibration</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhao, Le</creatorcontrib><creatorcontrib>Yang, Guanci</creatorcontrib><creatorcontrib>Li, Yang</creatorcontrib><creatorcontrib>Hu, Xuechun</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><jtitle>Nonlinear dynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhao, Le</au><au>Yang, Guanci</au><au>Li, Yang</au><au>Hu, Xuechun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fuzzy adaptive optimal backstepping control of the FO MEMS resonator under imprecise target trajectory with disturbance compensation mechanism</atitle><jtitle>Nonlinear dynamics</jtitle><stitle>Nonlinear Dyn</stitle><date>2023-10-01</date><risdate>2023</risdate><volume>111</volume><issue>19</issue><spage>17939</spage><epage>17959</epage><pages>17939-17959</pages><issn>0924-090X</issn><eissn>1573-269X</eissn><abstract>With the deep research of the fractional-order (FO) calculus theory, it has been found that the FO model can more realistically depict electromechanical devices with viscoelastic characteristics, such as the micro-electromechanical system (MEMS) resonator. Dynamic analysis is an important link to deeply understanding the dynamic characteristics of the system. Therefore, we established the FO model and FO circuit differential equation of the MEMS resonator and revealed that the chaos oscillation in the MEMS resonator is closely related to order
α
and parameter
V
AC
through dynamic analysis including numerical simulation and analog circuit. For suppressing the chaos oscillation, we integrate the optimal control into the technical framework of fuzzy adaptive backstepping control, and then design a fuzzy adaptive optimal backstepping controller with a disturbance compensation mechanism. In the design of the controller, firstly, to reduce the damage caused by the matched disturbance for the control effect, a disturbance compensation mechanism based on the FO disturbance observer is proposed. Secondly, to approximate the unknown function in the FO MEMS resonator, the interval type-3 fuzzy logic system (IT3FLS) with adaptive law is constructed. Then, the Fourier series and IT3FLS are introduced to reconstruct the imprecise target trajectory, and the FO hyperbolic tangent tracking differentiator (HTTD) is introduced to deal with the “explosion of complexity” associated with traditional backstepping. Finally, the optimal control input is designed to improve the tracking accuracy of the controller and minimize the cost function, and the effectiveness and robustness of the designed controller are verified by simulation results.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11071-023-08744-9</doi><tpages>21</tpages><orcidid>https://orcid.org/0000-0001-8761-5195</orcidid></addata></record> |
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subjects | Adaptive control Analog circuits Automotive Engineering Classical Mechanics Compensation Control Control systems design Controllers Cost function Design Differential equations Disturbance observers Dynamic characteristics Dynamical Systems Electromechanical devices Engineering Fourier series Fuzzy control Fuzzy logic Mathematical models Mechanical Engineering Microelectromechanical systems Optimal control Original Paper Resonators Robust control Tracking control Vibration |
title | Fuzzy adaptive optimal backstepping control of the FO MEMS resonator under imprecise target trajectory with disturbance compensation mechanism |
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