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PID Temperature Control Using PSO-EP Algorithm for Water Source Heat Pump Dryer
|關鍵字:||粒子群-進化規劃演算法;PSO-EP Algorithm||出版社:||電機工程學系所||引用:||References  http://www.airsystemsonline.com & http://home.howstuffworks.com  G. A. Nowakowski, “An introduction and status update on unitary engine-driven heat pumps,” ASHRAE Transactions, pp42–47, January 1996.  Y. Hasegawa, T. Nakano, T. Fukuda, G. Vachkov, “Learning predictive control for gas heat pumps,” Proc. of the IEEE ,vol. 2, pp. 1062–7, Oct. 2000.  L.R. Russo, B.W. Bequette, “State space versus input–output representations for cascade control of unstable systems, ” Ind Eng Chem Res, Vol. 36, pp. 2271–2278, 1997.  E. H. Mamdani, “Application of fuzzy algorithms for control of simple dynamic plant,” Proc. of IEEE, Vol. 121, No. 12, pp.1585–1594, 1974.  Y. I Gu, E. zelkaya M, I. Eksin, “Self tuning fuzzy PID type load and frequency controller,” Energy Conversion Magazine, Vol. 45, pp.377–390, 2004.  J. P. Gerry, "A comparison of PID control algorithm," Control Engineering, pp.102-105, March 1987.  J. G. Ziegler, and N. B. 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Mandal et al, “Optimal synthesis of array pattern for concentric circular antenna array using hybrid evolutionary programming,” International Journal of Research Trends in Engineering and Technology, vol. 3, no. 3, ACEEE, May 2010  R. Roy, S. P. Ghoshal, ”Optimization of proportional-integral-derivative gains by evolutionary programming in fuzzy based automatic generation control”, Journal of Electrical Engineering, IE(I), Vol. 87, pp. 29-35, December 2006||摘要:||
This thesis presents methodologies and techniques to design and implement two PID temperature controllers for a water-source heat pump dryer using particle swarm optimization-evolutionary programming (PSO-EP) algorithm, in order to achieve fast tracking and performance optimization. The first temperature controller employs a single-loop PID control strategy whose three-term parameters are off-line tuned using the proposed PSO-EP algorithm, whereas the second temperature controller uses a cascaded PID structure whose two sets of three-term parameters are also off-line searched by the same PSO-EP algorithm. In comparison with the first temperature controller, the second temperature control strategy using the cascaded PID structure not only retains the benefits of the first controller but also has better properties of robustness and disturbances rejection. Simulations and experimental results are conducted to show the effectiveness and merits of both proposed controllers via set-point tracking and disturbance rejection, and, furthermore, the cascaded PID controller has a faster transient response and a less steady-state error.
|Appears in Collections:||電機工程學系所|
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