Please use this identifier to cite or link to this item: https://doi.org/10.1109/TCST.2004.841648
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dc.titleAdaptive online correction and interpolation of quadrature encoder signals using radial basis functions
dc.contributor.authorTan, K.K.
dc.contributor.authorTang, K.-Z.
dc.date.accessioned2014-06-17T02:37:08Z
dc.date.available2014-06-17T02:37:08Z
dc.date.issued2005-05
dc.identifier.citationTan, K.K., Tang, K.-Z. (2005-05). Adaptive online correction and interpolation of quadrature encoder signals using radial basis functions. IEEE Transactions on Control Systems Technology 13 (3) : 370-377. ScholarBank@NUS Repository. https://doi.org/10.1109/TCST.2004.841648
dc.identifier.issn10636536
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/54927
dc.description.abstractThis paper considers the development of an adaptive online approach for the correction and interpolation of quadrature encoder signals, suitable for application to precision motion control systems. It is based on the use of a two-stage double-layered radial basis function (RBF) neural network. The first RBF stage is used to adaptively correct for the imperfections in the encoder signals such as mean, phase offsets, amplitude deviation and waveform distortion. The second RBF stage serves as the inferencing machine to adaptively map the quadrature encoder signals to higher order sinusoids, thus, enabling intermediate positions to be derived. Experimental and simulation results are provided to verify the effectiveness of the RBF approach. © 2005 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TCST.2004.841648
dc.sourceScopus
dc.subjectInterpolation
dc.subjectMotion control and neural networks
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/TCST.2004.841648
dc.description.sourcetitleIEEE Transactions on Control Systems Technology
dc.description.volume13
dc.description.issue3
dc.description.page370-377
dc.description.codenIETTE
dc.identifier.isiut000228766700003
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