Beer Fermentation Temperature Control Curve Optimization Based on the Fuzzy - Neural Network PID Control Algorithm

Abstract:

An auto-control model is presented to the process of beer fermentation, which has the characteristics such as time-varying, inertia, time-delay and nonlinear. The traditional PID control is difficult to accurately control. This paper according to the beer fermentation of problems puts forward a new control algorithm: fuzzy-neural network PID control algorithm. The fuzzy logistic differential control and intelligent integral control were supplemented into the fuzzy set-point weight tuning, so that the insufficiency of original PID control method was effectively improved. The advantages of this control algorithm are not only constitute a simple, small static error, dynamic response speed but also the ability to learn, etc. Therefore it not only can strengthen robust and intelligence of the system, but also make design simple and easily be required.

• Periodical: Advanced Materials Research (Volumes 846-847)
• Pages: 325-328
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.846-847.325
• Online since: November 2013
• Authors: Xian Qiu Xu*
• Keywords: Fermentation, Fuzzy Control, PID, Temperature Control

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