Application of Multivariable Non-Linear Decoupling Control Based on Neural Network

Abstract:

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Aimed at Neural Network can approach any nonlinear system with arbitrary accuracy, the frame of distributed NN decoupling system are proposed to decouple the MIMO nonlinear system. In this paper, we designed and finished the Distributed Control System based on ABB’s Freelance 800F, and collected experimental data to model the thermostatic heater, then we have carried out the mathematical model by means of MATLAB dynamic simulation. In sequence, we trained the neural network controller in MATLAB. When the decoupling is completed, we used controller to control the MIMO nonlinear system in DCS. Experiment result shows that it is conscientiously feasible and deserves to be widely applied in the process of controlling industry.

Info:

Periodical:

Edited by:

Shaobo Zhong and Zhigang Liu

Pages:

786-791

DOI:

10.4028/www.scientific.net/AMM.214.786

Citation:

J. B. Zhang et al., "Application of Multivariable Non-Linear Decoupling Control Based on Neural Network", Applied Mechanics and Materials, Vol. 214, pp. 786-791, 2012

Online since:

November 2012

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Price:

$35.00

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