Predictive Control of DC/DC Converter Based on State Observer

Chen Zeng; Deng Min Pan; Li Yan Zhang

doi:10.4028/www.scientific.net/AMR.476-478.542

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 476-478Predictive Control of DC/DC Converter Based on...

Predictive Control of DC/DC Converter Based on State Observer

Abstract:

In this paper, we present an advanced way to control the DC/DC converter by using predictive control. As the current state of the circuit must be known while using the predictive control, state observer is applied to solve the problem that some variables of DC/DC converter can not be observed. Neural network optimization is used to solve the QP problems in single sample step of predictive control. Simulation results show that this approach can utilize fast converge property of neural network and the new control strategy turns out to be very efficiency.

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Periodical:

Advanced Materials Research (Volumes 476-478)

Pages:

542-546

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.476-478.542

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Online since:

February 2012

Authors:

Chen Zeng, Deng Min Pan, Li Yan Zhang

Keywords:

Dc-Dc Converter, Neural Network (NN), Predictive Control, State Observer

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