A Nonlinear Predictive Controller Based on Chaos Optimization Apply to Reheated Steam Temperature

Wei Hong Wu; Wei Ping Yan; Zhi Min Guan

doi:10.4028/www.scientific.net/AMM.347-350.623

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 347-350A Nonlinear Predictive Controller Based on Chaos...

A Nonlinear Predictive Controller Based on Chaos Optimization Apply to Reheated Steam Temperature

Abstract:

In the power plant reheat steam temperature control system with large time delay, large inertia and dynamic variation of uncertainty, a new nonlinear predictive controller is proposed which combines neural network identification, chaos optimization algorithm (COA) and the concept of predictive contro1. The controller utilizes neural network as predictive model and COA as online optimization. It can avoid calculating the complicated gradient and the inverse matrix in the nonlinear predictive control. The simulation studies show the effective performance of the proposed controller.

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Periodical:

Applied Mechanics and Materials (Volumes 347-350)

Pages:

623-627

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.347-350.623

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Online since:

August 2013

Authors:

Wei Hong Wu, Wei Ping Yan, Zhi Min Guan

Keywords:

Chaos Optimization, Neural Network (NN), Nonlinear Predictive Control, Reheated Steam Temperature

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References

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