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

Kenji Nakajima; Hiroyuki Saitou; Seiji Hashimoto

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 211-212A High Precision Positioning Control Method Based...

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

Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 211-212)

Pages:

671-675

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.211-212.671

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Online since:

February 2011

Authors:

Kenji Nakajima, Hiroyuki Saitou, Seiji Hashimoto

Keywords:

Neural Network (NN), Nonlinear Control, Over-Learning, Precision Control

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