HYBRID ITERATIVE LEARNING CONTROL FOR POSITION TRACKING OF AN ELECTRO HYDRAULIC SERVO SYSTEM.
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| Title: | HYBRID ITERATIVE LEARNING CONTROL FOR POSITION TRACKING OF AN ELECTRO HYDRAULIC SERVO SYSTEM. |
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| Authors: | Qadri, Mansoor Zahoor1 mansoor.qadri@hotmail.com, Ali, Ahsan2 ahsan.ali@uettaxila.edu.pk, Sheikh, Inam-ul-Hassan2 inam.hassan@uettaxila.edu.pk |
| Source: | NED University Journal of Research. Mar2019, Vol. 16 Issue 2, p31-42. 12p. |
| Subjects: | Hydraulic servomechanisms, Position tracking (Virtual reality), Iterative learning control, Feedback control systems, Computer simulation |
| Abstract: | Accurate position control of an electro hydraulic servo system (EHSS) is a challenging task due to inherent system nonlinearities, parametric variations and un-modelled dynamics. Since feedback controllers alone cannot provide perfect tracking control, an integration of feedback and feed forward controller is required. A cascaded iterative learning control (ILC) technique for position control of EHSS is proposed in this paper. ILC is a feed forward controller which modifies the reference signal for a feedback fractional order proportional-integral-derivative (PID) controller by learning through current control input and previous error obtained through trails. Unlike other feed forward controllers, ILC works on signal instead of system which eliminates the need of complete knowledge of the system. As compared to other controllers, the proposed technique provides fast convergence without the need of reconfiguring the existing control loop. Simulation and experiments revealed the effectiveness of the proposed technique for EHSS. The obtained results indicated eight percent improvement in rise time and nearly twenty one percent improvement in the settling time. [ABSTRACT FROM AUTHOR] |
| Copyright of NED University Journal of Research is the property of NED University of Engineering & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 137647227 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: HYBRID ITERATIVE LEARNING CONTROL FOR POSITION TRACKING OF AN ELECTRO HYDRAULIC SERVO SYSTEM. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Qadri%2C+Mansoor+Zahoor%22">Qadri, Mansoor Zahoor</searchLink><relatesTo>1</relatesTo><i> mansoor.qadri@hotmail.com</i><br /><searchLink fieldCode="AR" term="%22Ali%2C+Ahsan%22">Ali, Ahsan</searchLink><relatesTo>2</relatesTo><i> ahsan.ali@uettaxila.edu.pk</i><br /><searchLink fieldCode="AR" term="%22Sheikh%2C+Inam-ul-Hassan%22">Sheikh, Inam-ul-Hassan</searchLink><relatesTo>2</relatesTo><i> inam.hassan@uettaxila.edu.pk</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22NED+University+Journal+of+Research%22">NED University Journal of Research</searchLink>. Mar2019, Vol. 16 Issue 2, p31-42. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Hydraulic+servomechanisms%22">Hydraulic servomechanisms</searchLink><br /><searchLink fieldCode="DE" term="%22Position+tracking+%28Virtual+reality%29%22">Position tracking (Virtual reality)</searchLink><br /><searchLink fieldCode="DE" term="%22Iterative+learning+control%22">Iterative learning control</searchLink><br /><searchLink fieldCode="DE" term="%22Feedback+control+systems%22">Feedback control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Accurate position control of an electro hydraulic servo system (EHSS) is a challenging task due to inherent system nonlinearities, parametric variations and un-modelled dynamics. Since feedback controllers alone cannot provide perfect tracking control, an integration of feedback and feed forward controller is required. A cascaded iterative learning control (ILC) technique for position control of EHSS is proposed in this paper. ILC is a feed forward controller which modifies the reference signal for a feedback fractional order proportional-integral-derivative (PID) controller by learning through current control input and previous error obtained through trails. Unlike other feed forward controllers, ILC works on signal instead of system which eliminates the need of complete knowledge of the system. As compared to other controllers, the proposed technique provides fast convergence without the need of reconfiguring the existing control loop. Simulation and experiments revealed the effectiveness of the proposed technique for EHSS. The obtained results indicated eight percent improvement in rise time and nearly twenty one percent improvement in the settling time. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of NED University Journal of Research is the property of NED University of Engineering & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.35453/nedjr-ascn-2018-0046 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 31 Subjects: – SubjectFull: Hydraulic servomechanisms Type: general – SubjectFull: Position tracking (Virtual reality) Type: general – SubjectFull: Iterative learning control Type: general – SubjectFull: Feedback control systems Type: general – SubjectFull: Computer simulation Type: general Titles: – TitleFull: HYBRID ITERATIVE LEARNING CONTROL FOR POSITION TRACKING OF AN ELECTRO HYDRAULIC SERVO SYSTEM. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Qadri, Mansoor Zahoor – PersonEntity: Name: NameFull: Ali, Ahsan – PersonEntity: Name: NameFull: Sheikh, Inam-ul-Hassan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 2304716X Numbering: – Type: volume Value: 16 – Type: issue Value: 2 Titles: – TitleFull: NED University Journal of Research Type: main |
| ResultId | 1 |
