A New Nonlinear Iterative Learning Controller for Road Simulator

Gang Xu; Jun Yu Zhou; Hong Zhou

doi:10.4028/www.scientific.net/AMM.373-375.1546

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 373-375A New Nonlinear Iterative Learning Controller for...

A New Nonlinear Iterative Learning Controller for Road Simulator

Abstract:

A new model based nonlinear iterative learning controller to replicate multiple reference trajectory is presented. The approach consists of a constrained Gauss-Newton numerical optimization algorithm, which is able to inverse a nonlinear system accurately. It uses the moving horizon idea from MPC to improve the computational efficiency. Combined with a class of nonlinear state-space model and an existing nonlinear iterative learning control scheme, this allows accurate tracking control of a nonlinear system. Numerical results are used to illustrate the algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 373-375)

Pages:

1546-1550

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.373-375.1546

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Online since:

August 2013

Authors:

Gang Xu, Jun Yu Zhou, Hong Zhou

Keywords:

Modal Inversion, Nonlinear Iterative Learning Control, Road Simulator, Service Load Simulation

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