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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Adaptive Window Algorithm for Acceleration Estimation Using Optical Encoders
verfasst von : Shuang Wang, Fei Hou, Surong Huang, Pinghua Zhang
Erschienen in: Intelligent Computing in Smart Grid and Electrical Vehicles
Verlag: Springer Berlin Heidelberg
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Optical incremental encoders are extensively for position measurements used in servo control systems. The position measurements suffer from quantization errors. Acceleration is common obtained by numerical differentiation, which will largely amplify quantization errors. In order to improve the performance of acceleration estimations, an adaptive window algorithm is employed. It maximizes the accuracy of acceleration according to the window size. Besides, velocity is estimated by the mixed time and frequency method, which is utilized to estimate acceleration. Finally, Validity of the acceleration estimation is verified by the experiments.