Study on Compensation Based on Neural Network Control of GPC

Yue Jing Zhang

doi:10.4028/www.scientific.net/AMR.490-495.1555

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The Control System Design Based on PLC for Low-Pressure Sealed Cabin
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Research and Design of the Remote Fault Diagnosis System for Complicated Equipment Based on Intelligent IETM
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Single-Chip Fuzzy Control of Diesel Engine Electronic Speed Governor
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Study on Processing Quality Monitoring Technology for Gun Barrel Caliber
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 490-495Study on Compensation Based on Neural Network...

Study on Compensation Based on Neural Network Control of GPC

Abstract:

The method to describe the use of neural network nonlinear prediction model is presented in this paper,it works on the nonlinear model and translates it into linearization.The linear model is dealt with by generalize predictive control, and finally the use of the compensation algorithm to linearization bring the model to compensate for the mismatch, it is verified the effectiveness of the algorithm by simulation.