Online Tuning Rule Based Adaptive Speed Control Algorithm For Dc Motors Using Recursive Least Squares With Forgetting

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dc.contributor.authorOh, Kwang-Seok
dc.contributor.authorSeo, Jaho
dc.date.accessioned2018-11-06T13:42:12Z
dc.date.available2018-11-06T13:42:12Z
dc.date.issuedMay-18
dc.description.abstractThis paper presents an online tuning rule-based adaptive control algorithm to control DC motor speed. For this, a method of recursive least squares with forgetting was proposed to approximate the relation between single input (voltage) and single output (angular speed) of the DC motor system as a first order differential equation. Using this approximated first order system and Lyapunov method-based disturbance observer with the online turning rule, a voltage input of the DC motor was generated to track a desired value of rotational speed of the motor. A performance evaluation of the proposed algorithm was conducted in the MATLAB/Simulink environment. The results show that the designed algorithm enables to track the reference speed successfully using only a single input and a single output of DC motor system.
dc.identifierCSME100
dc.identifier.issn978-1-77355-023-7
dc.identifier.urihttp://hdl.handle.net/10315/35237
dc.identifier.urihttp://dx.doi.org/10.25071/10315/35237
dc.language.isoenen_US
dc.publisherCSME-SCGMen_US
dc.rightsThe copyright for the paper content remains with the author.
dc.subjectLyapunov direct method
dc.subjectrecursive least squares
dc.subjectsingle input single output
dc.subjectdisturbance observer
dc.subjectDC motor system
dc.subjectMechatronicsen_US
dc.subjectRobots and Controlen_US
dc.titleOnline Tuning Rule Based Adaptive Speed Control Algorithm For Dc Motors Using Recursive Least Squares With Forgettingen_US
dc.typeArticleen_US

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