Decoupling control and energy efficient system for meat drying processing based on fuzzy-PID approaches

The paper presents a fuzzy PID decoupling control method for a drying room system in meat manufacturing. This decoupling algorithm aims to solve the issue of the coupling between temperature and relative humidity in meat drying rooms. The current traditional PID control algorithm is not performed better control accuracy to the systems of temperature and relative humidity. Therefore, the proposed decoupling control with the fuzzy PID algorithm is developed to solve the issue of the coupling. The result of simulated decoupling data for the meat drying system is presented better control accuracy based on the fuzzy PID decoupling algorithm. The coupling effects of temperature and relative humidity are also discussed in details with the system stability and energy consumption.

[1]  Abdelkader Mami,et al.  Decoupling Control Approach for Neonate Incubator System , 2012 .

[2]  Fang Zhu,et al.  Research on Decoupling Control in Temperature and Humidity Control Systems , 2011, CCTA.

[3]  Jia Liang Feedforward Decoupling for Multivariable Fuzzy Control System , 2004 .

[4]  Jiangjiang Wang,et al.  Genetic optimization algorithm of PID decoupling control for VAV air-conditioning system , 2009 .

[5]  X Zhao,et al.  [Simulation of a decoupling generalized predictive control algorithm for temperature-humidity system]. , 1997, Hang tian yi xue yu yi xue gong cheng = Space medicine & medical engineering.

[6]  Jian Wang,et al.  Application of a fuzzy decoupling control algorithm for simultaneous control of both temperature and humidity , 2006, International Symposium on Precision Mechanical Measurements.

[7]  Wang Peng,et al.  Study on Fuzzy Self-Tuning PID Internal Model Control Algorithm and Its Application , 2007, 2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007).

[8]  Jie Tang,et al.  Research of Temperature and Humidity Decoupling Control for Central Air-Conditioning System , 2009, 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics.

[9]  M. Velez-Reyes,et al.  Decoupled control of temperature and relative humidity using a variable-air-volume HVAC system and non-interacting control , 2001, Proceedings of the 2001 IEEE International Conference on Control Applications (CCA'01) (Cat. No.01CH37204).

[10]  Rubiyah Yusof,et al.  Decoupled HVAC System via Non-Linear Decoupling Algorithm to Control the Parameters of Humidity and Temperature through the Adaptive Controller , 2014 .

[11]  Seyed Mohammad Ali Mohammadi,et al.  A new mathematical dynamic model for HVAC system components based on Matlab/Simulink , 2012 .

[12]  Servet Soyguder,et al.  An expert system for the humidity and temperature control in HVAC systems using ANFIS and optimization with Fuzzy Modeling Approach , 2009 .