Journal of South China University of Technology(Natural Science) >
Prediction Error Identification of Controller Parameters in Virtual Reference Feedback Tuning
Received date: 2012-09-24
Revised date: 2013-01-03
Online published: 2013-04-01
Supported by
航空科学基金资助项目( 20101352015)
In this paper,a method that minimizes the 2-norm-type cost function consisted of a set of observed data,namely the virtual reference feedback tuning,is employed to directly design a dual-controller for an unknown system.In this method,the fixed part decomposed from the feedforward controller is combined with the feedback controllerto form a filter,a normal formula of the prediction error identification is derived by re-parameterizing theoriginal input /output relationships,and a separable iterative nonlinear least square method is used to estimate theunknown parameter vectors of the controller.Moreover,the convergence of the proposed algorithm is theoreticallyanalyzed,and the effectiveness of the algorithm is finally verified by simulations.
Tang Xiao-jun Wang Dao-bo Tang De-zhi Li Meng . Prediction Error Identification of Controller Parameters in Virtual Reference Feedback Tuning[J]. Journal of South China University of Technology(Natural Science), 2013 , 41(5) : 15 -21 . DOI: 10.3969/j.issn.1000-565X.2013.05.003
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