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Systems Modeling and Intelligent Control of Meat Drying Process

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Title: Systems Modeling and Intelligent Control of Meat Drying Process
Author: Ma, Hong
Department: School of Engineering
Program: Engineering
Advisor: Yang, Simon X.
Abstract: The main objectives of this thesis are to develop a system model and an intelligent controller for the meat drying process, which can provide better control accuracy than the proportional-integral-derivative (PID) control system. In a meat drying room, important environment variables of temperature and relative humidity are coupled by a nonlinear relationship. Therefore, the design of a nonlinear, intelligent controller is required. The meat drying room system model encompasses both the plant model and the coupling model between temperature and relative humidity. The proposed intelligent controller uses a fuzzy PID control method and a PI-like fuzzy logic control method to limit the fluctuations in the meat drying system. Results show that the performances of the proposed fuzzy PID and PI-like fuzzy control systems are superior in terms of relative humidity control accuracy.
URI: http://hdl.handle.net/10214/9244
Date: 2015-09
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