The Controller on RBF Fuzzy Neural Network of the Laying Pipe Manipulator

Dan Wang

doi:10.4028/www.scientific.net/AMR.403-408.2704

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 403-408The Controller on RBF Fuzzy Neural Network of the...

The Controller on RBF Fuzzy Neural Network of the Laying Pipe Manipulator

Abstract:

Aim at the pipe laying manipulator’s dynamic properties of multi-input, multi-output, unstable, nonlinear, time-varying and coupling, a new RBF fuzzy neural network based on T-S fuzzy inference model was proposed. The network had simple structure and high training speed, and could adjust the fuzzy rules, and optimized them. The controller of RBF fuzzy neural network could realize the high precision tracking control of the laying pipe manipulator.

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Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

2704-2707

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.403-408.2704

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Online since:

November 2011

Authors:

Dan Wang

Keywords:

Laying Pipe Manipulator, RBF Fuzzy Neural Network, RBF Fuzzy Neural Network Controller

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References

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