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نویسندگان مقالات پربازدید :
مکاترونیک 2011
جزئیات رویداد
همایش ، رویداد ، ژورنال
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  • hysteresis modeling and compensation of a piezostage using least squares support vector machines

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    • تاریخ ارائه: 1392/07/24
    • تاریخ انتشار در تی پی بین: 1392/07/24
    • تعداد بازدید: 1095
    • تعداد پرسش و پاسخ ها: 0
    • شماره تماس دبیرخانه رویداد: -
      hysteresis effect degrades the positioning accuracy of a piezostage, and hence the nonlinearity has to be suppressed for ultrahigh-precision positioning applications. this paper extends least squares support vector machines (ls-svm) to the domain of hysteresis modeling and compensation for a piezostage driven by piezoelectric stack actuators. a ls-svm model is proposed and trained by introducing the current input value and input variation rate as the input data set to formulate a one-to-one mapping. by adopting the radial basis function (rbf) as kernel function, the ls-svm model only has two free hyperparameters, which are optimally tuned by resorting to bayesian inference framework. the effectiveness of the presented model is verified as compared with two state-of-the-art approaches, namely, bouc–wen model and modified prandtl–ishlinskii (mpi) model. in addition, the ls-svm inverse model based feedforward control combined with an incremental proportional–integral–derivative (pid) feedback control is designed to compensate the hysteresis nonlinearity. experimental results show that the ls-svm model based hybrid control scheme is superior to the bouc–wen model and mpi model based ones as well as either of the stand-alone controllers. the rate-dependent hysteresis is suppressed to a negligible level, which validates the effectiveness of the constructed controller. owing to a simple procedure, the proposed ls-svm based approach can be applied to modeling and control of other types of hysteretic systems as well.

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