Please use this identifier to cite or link to this item:
標題: 使用粒子群-實數編碼基因演算法之太陽能熱泵溫水供應系統PID溫度控制
PID Temperature Control Using PSO-RGA Algorithm for Warm Water Supply Systems with Solar Heat Pumps
作者: 徐紳彰
Shen-Chang Hsu
關鍵字: Solar water-source heat pump system (SWSHPS);temperature control;PID control;particle swarm optimization (PSO);Real-coded Genetic algorithm(RGA).;太陽能水源熱泵系統;溫度控制;PID控制;粒子群最佳化;實數編碼基因演算法。
引用: [1] G. A. Nowakowski, 'An introduction and status update on unitary engine-driven heat pumps,' ASHRAE Transactions, pp.42–47, January 1996. [2] Y. Hasegawa, T. Nakano, T. Fukuda, G. Vachkov, 'Learning predictive control for gas heat pump,' Proc. of IEEE 26th Intern. Conf. of the IEEE Industrial Electronics Society (IECON2000), vol. 2, pp. 1062–7, Oct. 2000. [3] K. I. Tsai, C. C. Tsai, 'Cascaded Fuzzy Control for Air Source Heat Pumps, ' Proc. of the SICE Annual Conference 2010 (SICE 2010 in Taiwan), Taipei, Taiwan, August 2010. [4] J. S. Chiou, M. T. Liu, 'Numerical simulation for cascaded-PID controllers and helping EP reproduction with PSO hybrid algorithm' Simulation Modeling and Practice and Theory, vol. 17, pp.1555-1565, 2009. [5] C. C. Tsai, K. I Tsai, C. T. Su, 'Cascaded Fuzzy-PID Control Using PSO-EP Algorithm for Air Source Heat Pumps,' Proc. of the 2012 International Conference on Fuzzy Theory and Its Application, Taichung, Taiwan, Nov. 16-18, 2012. [6] H. Duan, Q. Luo ,G. Ma ,Y. Shi, 'Hybrid Particle Swarm Optimization and Genetic Algorithm for Multi-UAV Formation Reconfiguration, 'IEEE Computational Intelligent Magazine, pp16-27,August 2013. [7] J. Y. Wu, 'Real-coded Genetic Algorithm-based Particle Swarm Optimization Method for Unconstrained Optimization Problems,' Proc. of Intern. Conf. on Electronics and Information Engineering (ICEIE), V1-194-V1-198, 2010. [8] H.C Huang, S. C Lin, 'Hybrid GA-PSO Algorithm for Inverse Kinematics of 7-DOF Robot,' Proc. of 2011 International Conference on Service and Interactive Robots National Chung Hsing University, Taichung, Taiwan, Nov.25-27,2011. [9] M.W. Iruthayarajan, S. Baskar , 'Optimization Of PID Parameters Using Genetic Algorithm And Particle Swarm Optimization,' Proc. of IET-UK International Conference on Information and Communication Technology in Electrical Science(ICTES 2007), Dr.M.G.R. University, Chennai, Tamil Nadu,India, pp.81-86, Dec. 20-22,2007. [10] C. T. Su, PID Temperature Control Using PSO-EP Algorithm for Water-source Heat Pump Dryer, Master Thesis, Department of Electrical Engineering, National Chung Hsing University, July 2013. [11] A. M. Omer'Ground-source heat pumps systems and applications,'Renewable and Sustainable Energy Reviews, vol. 12, pp. 344-371, 2008. [12] J. Kennedy, R.C. Eberhart, 'Particle swarm optimization,' Proceedings of IEEE International Conference on Neural Networks IV, pp.1942-1948, 1995. [13] S.Y. Shi, R. Eberhart, 'A Modified Particle Swarm Optimizer,' Proceedings of the IEEE International Conference on Evolutionary Computation, Anchorage AK, pp. 69-73, May 4-9 ,1998. [14] M. Clerc, and J. Kennedy, ' The particle swarm-explosion, stability, and convergence in a multidimensional complex space, ' IEEE Transactions on Evolutionary Computation, vol.6, no. 1, pp. 58-73, 2002. [15] A. Acan, A. Gunay, 'Enhanced Particle Swarm Optimization through External Memory Support,' Proceeding of the 2005 IEEE Congress on Evolutionary Computation, vol. 2, pp.235-242, 2005. [16] C. Cao, B. Zhou, M. Li, J. Du, 'Digital Implementation of DTC Based on PSO for Induction Motor, ' Proceeding of the 6th world congress on Intelligent control and Automation, Dalian, China, pp. 6349 - 6352 June.21-23,2006. [17] Z. Bingul, O. Karahan,'Tuning of Fractional PID Controllers Using PSO Algorithm for Robot Trajectory control, ' Proceeding of the 2011 IEEE International Conference on Mechatronics, Turkey, Istanbul, pp. 955- 960, April 13-15, 2011. [18] S. Cao, J. Tu, H. Liu,'PSO Algorithm-Based Robust design of PID Controller for PMSM, ' Proceeding of 2010 Sixth International Conference on Natural Computation(ICNC2010), pp. 3513-3517, August 10-12,2010. [19] G. Zhang, K. Zhang,'A Particle Swarm Optimization Approach for Optimal Design of PID Controller for Temperature Control in HVAC, ' Proceeding of 2011 Third International Conference on Measuring Technology and Mechatronics Automation, pp. 230 – 233, Jan 6-7,2011 [20] H. M. Asifa, Dr S.R.Vaishnav,'Particle Swarm Optimization Algorithm based PID Controller, ' Proceeding of Third International conference on Emerging Trends in Engineering and Technology, pp.628 – 631, Nov. 19-21,2010. [21] S. F.. Chen,'Particle Swarm Optimization for PID Controller with Robust Testing, ' Proceeding of the Sixth International Conference on Machine Learning and Cybernetics, Hong Kong, pp.956 - 961, August 19-22 , 2007. [22] R.L. Haupt, S.E.Haupt, Practical Genetic Algorithms, John Wiley, Second Edition, May 2004. [23] A. H. Wright, 'Genetic algorithm for real parameter optimization,' Foundations of Genetic Algorithms 1,San Mateo, CA: Morgan Kaufmann, pp. 205-218,1991. [24] B. Zhang, 'A Heuristic Mutation operator for Evolutionary Neural Network, ' Proceeding of 2011 International Conference on Internet computing and Information Services(ICICIS), Hong Kong, pp. 506 -509, September 17-18 ,2011. [25] J. C. Gallagher, S. Vigraham and G, Kramer, 'A family of compact genetic algorithms for intrinsic evolvable hardware,' IEEE Transactions on Evolutionary Computation, vol. 8, no. 2, pp. 111-126, 2004. [26] Y. Lei, S. Li, X .Zhang, 'Optimal Control Solving of Polymer Flooding Based on Real-coded Genetic Algorithm , ' Proceeding of the 8th world congress on Intelligent control and Automation(WCICA), Jinan, china, pp.5111- 5114, July 7-9, 2010. [27] C. T. Wu, J. P. Tien, T. S. Li, ' Integration of DNA and Real Coded GA for the Design of PID-Like Fuzzy controllers, ' Proceeding of 2012 IEEE International Conference on Systems, Man , and Cybernetics(SMC), Seoul, pp. 2809- 2814 October 14-17, 2012. [28] X. F Luo, A. Qing, C. K. Lee, 'The design of Frequency Selective Surfaces (FSS) Using Real-Coded Genetic Algorithm(RGA), ' Proceeding of ICICS-PCM2003,Singapore, pp.391-395, December 15-18, 2003. [29] J. Liu ,Y. Li, H. Zhao,'A Temperature Measurement System Based on PT100,' Proceeding of 2010 International on Electrical and Control Engineering, pp.296-298, 2010. [30] Q. Song, G. Y. Hong, K. S. Hong,'Adaptive control for a multi-condenser inverter heat pump system,' Proceeding of International Conference on Control, Automation and Systems, KINTEX, Gyeonggi-do, Korea, pp.501-506, Oct.27-30, 2010. [31] C. C. Tsai, K. I. Tsai, S. C. Hsu, S. f. Su, 'Two-Loop PID Control Using PSO-RGA Algorithm for Solar Heat Pumps,' Proc. of 2014 International Conference on Machine Learning and Cybernetics, Lanzhou, China, 13-16 July, 2014.
This thesis presents two proportional-integral-derivative (PID) control methods for a class of warm water supply system with a solar water-source heat pump for semiconductor factories and many commercial applications. The proposed temperature controller employs a single-loop and two-loop PID control strategies whose controller's parameters are off-line optimally selected by a combination of the well-known particle swarm optimization (PSO) and real-coded genetic algorithm (RGA). Both controllers are tuned by the proposed PSO-RGA method, in order to accomplish satisfactory transient responses and steady-state accuracy. Simulations and experimental results are conducted to show the effectiveness, robustness and merits of both proposed controllers via set-point tracking and parameter variations. The two-loop PID controller has a superior transient performance and smaller steady-state errors than the single-loop PID controller does. Both control strategies are shown to give satisfactory temperature control of the proposed warm water supply system.

其他識別: U0005-2811201416194944
Rights: 不同意授權瀏覽/列印電子全文服務
Appears in Collections:電機工程學系所

Files in This Item:
File SizeFormat Existing users please Login
nchu-103-5100064009-1.pdf2.38 MBAdobe PDFThis file is only available in the university internal network    Request a copy
Show full item record

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.