Optimized PIDA Controller Design with Bat-inspired Algorithm for Temperature Control of Electric Furnace System
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Abstract
The electric furnace temperature control system is one of the real-world second-order systems plus time delay (SOSPD) widely used as the process control in industries. It is normally operated under the PID feedback control loop. The PIDA controller, however, performed better response than the PID controller for higher order plant. In this paper, an optimal PIDA controller design for the electric furnace temperature control system is presented. Regarding to modern optimization context, the Bat-inspired Algorithm (BA) which is one of the most efficient population-based metaheuristic optimization techniques is applied to search for the appropriate PIDA’s parameters. The proposed BA-based PIDA design framework is considered as the constrained optimization problem. System responses obtained by the PIDA controller designed by the BA will be compared with those obtained by the PIDA controller also designed by the BA. As results, it was found that the PIDA can provides the very satisfactory tracking and regulating responses of the electric furnace temperature control system superior to the PIDA, significantly.
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References
A. O’ Dwyer, Handbook of PI and PID Controller Tuning Rules, 3rd ed. London, U.K.: Imperial College Press, 2009.
B. G. Lipták, Instrumentation Engineers Handbook Process Control, 3rd ed. Boca Raton, FL, USA: CRC Press, 1995.
Y. Han, J. Jinling, C. Guangjian, and C. Xizhen, “Temperature control of electric furnace based on fuzzy PID,” in Proc. Int. Conf. Electron. and Optoelectronics, Dalian, China, Jul. 2011, pp. V3-41–V3-44.
F. Teng and H. Li, “Adaptive fuzzy control for the electric furnace,” in Proc. IEEE Int. Conf. Intell. Comput. and Intell. Syst., Shanghai, China, Nov. 2009, pp. 439–443.
X. Junming, Z. Haiming, J. Lingyun, and Z. Rui, “Based on Fuzzy–PID self-tuning temperature control system of the furnace,” in Proc. Int. Conf. Elect. Inf. and Control Eng., Wuhan, China, Apr. 2011, pp. 1203–1206.
B. Srilakshmi and K. Venkataratnam, “Temperature control of electric furnace using genetic algorithm based PID controller,” Int. J. Adv. Eng. Global Technol., vol. 3, no. 11, pp. 1348–1352, Dec. 2015.
C. Thammarat, K. Lurang, D. Puangdownreong, S. Hlangnamthip, A. Nawikavatan, and S. Suwannarongsri, “Application of bat-Inspired algorithm to optimal PIDA controller design for liquid-level system,” in Proc. Int. Elect. Eng. Congr. (iEECON), Krabi, Thailand, Mar. 2018, pp. 556–559.
S. Jung and R. C. Dorf, “Analytic PIDA controller design technique for a third order system,” in Proc. 35th IEEE Conf. Decis. and Control, Kobe, Japan, Dec. 1996, pp. 2513–2518.
S. Sornmuang and S. Sujitjorn, “GA-based PIDA control design optimization with an application to AC motor speed control,” Int. J. Math. Comput. Simul., vol. 4, no. 3, pp. 67–80, Jan. 2010.
D. Puangdownreong and S. Suwannarongsri, “Torsional resonance suppression via PIDA controller designed by the particle swarm optimization,” in Proc. 5th Int. Conf. Elect. Eng./Electron. Comput. Telecommun. Inf. Technol. (ECTI-CON), Krabi, Thailand, May 2008, pp. 673–676.
C. Thammarat, P. Sukseam, D. Puangdown-reong, and S. Suwannarongsri, “Design of PIDA controllers via particle swarm optimization,” (in Thai), in Proc. Int. Annu. Symp. Comput. Sci. and Eng. Symp. (ANSCSE12), Ubon Ratchathani, Thailand, Mar. 2008, pp. 393–398.
X. S. Yang, “A new metaheuristic bat-inspired algorithm,” in Nature Inspired Cooperative Strategies for Optimization (NICSO 2010), Heidelberg, Germany: Springer, 2010, pp. 65–74.
X.-S. Yang, “Bat algorithm for multi-objective optimisation,” Int. J. Bio-Inspired Comput., vol. 3, no. 5, pp. 267–274, 2011.
A. Benaissa, A. Zeblah, A. Belafdal, and A. Chaker, “An efficient bat algorithm for series-parallel power system optimization,” J. Elect. Electron. Syst., vol. 5, no. 3, 2016, Art. no. 1000189.
B. Ramesh, V. C. J. Mohan, and V. C. V Reddy, “Application of bat algorithm for combined economic load and emission dispatch,” Int. J. Elect. Eng. Telecommun., vol. 2, no.1, pp. 1–9, Jan. 2013.
C. Thammarat, K. Lurang, D. Puangdownreong, S. Hlangnamthip, A. Nawikavatan, and S. Suwannarongsri, “Application of Bat-Inspired algorithm to optimal PIDA controller design for liquid-level system,” in Proc. Int. Elect. Eng. Congr. (iEECON), Krabi, Thailand, Mar. 2018, pp. 556–559.
J. Paulusová and M. Dubravská, “Application of design of PID controller for continuous systems,” in Proc. 20th ročník medzinárodnej konferencie: Tech. Comput. Bratislava, Bratislava, Slovakia, Nov. 2012. pp. 1–6.
N. Pringsakul, D. Puangdownreong, C. Thammarat, and S. Hlangnamthip, “Obtaining optimal PIDA controller for temperature control of electric furnace system via flower pollination algorithm,” WSEAS Trans. Syst. Control, vol. 14, pp. 1–7, 2019.