Poultry House Temperature Control Using Fuzzy-PID Controller
Citation
Aborisade, David O. , Oladipo Stephen. "Poultry House Temperature Control Using Fuzzy-PID Controller", International Journal of Engineering Trends and Technology (IJETT), V11(6),310-314 May 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
Temperature control of poultry house within thermal neutral zone of poultry birds is essential in order to reduce their mortality and increase production. The most advanced method to control the highly complex and nonlinear behaviour of the poultry house temperature, is fuzzy logic. On the other hand, PID controllers are used in most of poultry house due to its functional and structural simplicity. This paper presents a method of controlling the poultry house temperature by the combined action of both Fuzzy and PID controllers. In the design, fuzzy controller uses the structure of two inputs and three outputs. Deviation e and deviation rate ? are the inputs of the system. These are translated into a fuzzy form, fuzzy processed according to IF…THEN rules to arrive at a single outcome value and then defuzzified to get accurate values of which are used to auto-tune PID controller to control the poultry house temperature. The performances of the Fuzzy-PID based poultry house temperature control scheme during hot weather are compared with the classical PID controller. The results show that the Fuzzy-PID scheme is able to control the poultry house temperature more effectively in terms of both the steady-state error and the settling time than that of PID controller.
References
[1] Curtis S. (1983), “Environmental Management in Animal Agriculture”, Iowa State University Press, Ames.
[2] William J., (1995), “Extension Poultry Specialist”, Iowa State University, Ames.
[3] Sturkie, P.D. (1965) Avian Physiology, 2nd edn. Cornstock Press, Ithaca, New York.
[4] Van Der Hel, W., et al., (1991) The upper critical ambient temperature in neonatal chicks. Poultry Science 70, 1882–1887.
[5] MacDonald J. M (2008), “The Economic Organization of U.S. Broiler Production”, Economic Information Bulletin No. 38, Economic Research Service, U.S. Dept. of Agriculture.
[6] Czarick M. and Michael L. (1994), “Poultry Housing Tips: Environmental Controllers”, University of Georgia Cooperative Extension Service. College of Agricultural and Environmental Sciences, Athen, Georgia 30602, USA.
[7] Nick J. Killingsworth and Miroslav Krstic (2006), “PID Tuning Using Extremum Seeking: Online, Model-Free Performance Optimization”, IEEE Control Systems Magazine. Pp.70- 79.
[8] K.J. Åström and T. Hägglund, PID Controllers: Theory, Design and Tuning 2nd ed. Research Triangle Park, NC: Instrum. Soc. Amer., 1995.
[9] K.J. Åström, T. Hägglund, C.C. Hang, and W.K. Ho, “Automatic tuning and adaptation for PID controllers—A survey,” Contr. Eng. Pract., vol. 1, no. 4, pp. 699–714, 1993.
[10] Jinkun Liu. Advanced PID Control and Simulation by MATLAB. Beijing: Publishing House of Electronics Industry, 2003.
[11] Xinyu Liu, Xianzhang Shen, Daoyin Qiu et al., (2003), “The application of self-adaption fuzzy PID in the process of agglomeration”, Journal of Zhong Yuan Institute of Technology.
[12] Nebil Ben-Aissa, Johnson Controls, Inc. (1997), VisSim Tutorial Series: Heating, Ventilation, and Air Conditioning (HVAC) Controls: Variable Air Volume (VAV) Systems.
[13] Wai Wai Shein et al., (2012), “PID Controller for Temperature Control with Multiple Actuators in Cyber-physical Home System”, International Transactions on Science and Applications. Volume 8. Pp.149-166.
Keywords
Poultry house temperature, Fuzzy-PID control, Defuzzification.