A High Precision Positioning Control Method Based on Learning Algorithm with Reference Model

Abstract:

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In this paper, a high precision positioning control method based on the learning algorithm with the reference model is proposed. The reference model is composed of a plant model and a feedback controller. In the proposed control method, disturbance, modeling error and nonlinear characteristic can be effectively compensated by the neural network-based controller, which learns the reference model. Moreover, the control-input saturation problem due to the over-learning for the neural network can be avoided. The effectiveness of the proposed control method is experimentally verified using the precision positioning equipment with nonlinear friction characteristics.

Info:

Periodical:

Advanced Materials Research (Volumes 211-212)

Edited by:

Ran Chen

Pages:

671-675

DOI:

10.4028/www.scientific.net/AMR.211-212.671

Citation:

K. Nakajima et al., "A High Precision Positioning Control Method Based on Learning Algorithm with Reference Model", Advanced Materials Research, Vols. 211-212, pp. 671-675, 2011

Online since:

February 2011

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Price:

$35.00

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