Prospects of application of intelligent PID controller in power plant thermal process control

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering

Volumn 22, Issue 8, 2002, Pages 128-134

  Liu, Zhi Yuan ^a   Lu, Jian Hong ^a   Chen, Lai Jiu ^a  

^a SOUTHEAST UNIVERSITY   (China)

Author keywords

Fuzzy control; Genetic algorithm; Intelligent control; Neural network; PID controller; Power plant thermal process

Indexed keywords

FUZZY CONTROL; GENETIC ALGORITHMS; INTELLIGENT CONTROL; NEURAL NETWORKS;

PID CONTROLLER; POWER PLANT THERMAL PROCESS;

GEOTHERMAL POWER PLANTS;

EID: 0036698724     PISSN: 02588013     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (44)

1. Gorez R. A survey of PID auto-tuning methods [J]. Journal A, 1997, 38 (1): 3-10.
2. Lu Jianhong, Zhang Shijun, Chen Laijiu. The design and application study of intelligent PID controller [J]. Power Engineering, 1995, 15 (4): 6-10.
3. Li Shiyong. Fuzzy control · neurocontrol and intelligent cybernetics [M]. Harbin: The Press in Harbin Institute of Technology, 1996.
4. Tao Yonghua, Yin Yixin, Ge Lusheng, Novel PID Control and its Application [M], Beijing: Mechanical Industry Press, 1998.
5. Ketata R, et al. Fuzzy controller: Design, evaluation, parallel and hierarchical combination with a PID controller [J]. Fuzzy Sets and Systems, 1995, 71 (1): 113-129.
6. Zhao Z.Y, et al. Fuzzy gain scheduling of PID controllers [J]. IEEE Trans. on SMC, 1993, 23 (5): 1392-1398.
7. Xu J X, et al. Parallel structure and tuning of a fuzzy PID controller [J]. Automatica, 2000, 36 (4): 673-684.
8. Chung H Y, et al. A PI-type fuzzy controller with self-tuning scaling factors [J]. Fuzzy Sets and Systems, 1998, 93 (1): 23-28.
9. Ying H. A nonlinear fuzzy controller with linear control rules is the sum of a global two-dimensional multilevel relay and a local nonlinear proportional-integral controller [J]. Automatica, 1993, 29 (2): 499-505.
10. Byung S M. Equivalence between fuzzy logic controllers and PI controllers of single input systems [J]. Fuzzy Sets and Systems, 1995, 69 (2): 105-113.
11. Wang C C, Feng S M. A switching type of fuzzy controller [J]. The 3th IEEE Internat. Conf. Fuzzy Systems [C], Orlando, Florida, USA, 1994, 30-34.
12. Misir D, et al. Design and analysis of a fuzzy proportional integral-derivative controller [J]. Fuzzy Sets and Systems, 1996, 79 (3): 297-314.
13. Wu Z Q, Mizumoto M. PID type fuzzy controller and parameters adaptive method [J]. Fuzzy Sets and Systems, 1996, 78 (1): 23-35.
14. Xie Shuming, Chai Tianyou. A kind of fuzzy PID controller with parameter adaption [J]. Information and Control, 1998, 27 (4): 255-259.
15. Woo Z W, et al. A PID type fuzzy controller with self-tuning scaling factors[J]. Fuzzy Sets and Systems, 2000, 115 (3): 321-326.
16. Long Shengzhao, Wang Peizhuang. On self-regulation of fuzzy control rule [J]. Fuzzy Mathematics, 1982, 2 (3): 15-30.
17. Procyk T J, Mamdani E H. A linguistic self-organizing process controller [J]. Automatica, 1979, 15 (1): 15-30.
18. Yoshioka M, Omatu S. Self-tuning neuro-PID control applied to an inverted pendulum system [J]. Journal A, 1996, 37, (3): 17-21
19. Chu S Y, Teng C C. Tuning of PID controllers based on gain and phase margin specifications using fuzzy neural network [J]. Fuzzy Sets and Systems, 1999, 101 (1): 21-30.
20. Hu Zexin, Zhou Jinrong, Huang Dao. A multivariable nonlinear self-tuning PID controller [J]. Control Theory and Applications, 1996, 13 (2): 268-272.
21. Yang Zhi, Gao Jing. An adaptive neural PID controller with optimal predictive and its realization [J]. Information and Control, 1999 28 (5): 345-349.
22. Shu Huailin. PID neural network for decoupling control of strong coupling multivariable time-delay systems [J]. Control Theory and Applications, 1998, 15 (6): 920-924.
23. Wang Yaonan, Tong Tiaosheng, Cai Zixing. Intelligent PID control based on neuron network and its application [J]. Information and Control, 1994, 23 (3): 185-189.
24. Wang Yaonan. Adaptive PID control based on Gaussian potential function networks [J]. Control and Decision, 1997, 12 (5): 548-553.
25. Yang Zhi, Gao Jing. Optimal predicting PID controller based on genetic algorithm [J]. Control and Decision, 2000, 15 (1): 113-115.
26. Zuo W. Multivariable adaptive control for a space station using genetic algorithms [J]. IEE Proc. on Control Theory Appl, 1995, 142 (2): 81-87.
27. Siarry P, Guely F. A genetic algorithm for optimizing Takagi-Sugeno fuzzy rule bases [J]. Fuzzy Sets and Systems, 1998, 99 (1): 37-47.
28. Li T H S, Shieh M Y. Design of a GA-based fuzzy PID controller for non-minimum phase systems [J]. Fuzzy Sets and Systems, 2000, 111 (2): 183-197.
29. Cho H J, et al. Fuzzy-PID hybrid control: Automatic rule generation using genetic algorithms [J]. Fuzzy Sets and Systems, 1997, 92 (3): 305-316.
30. Linlens D A, Nyongesa H O. Learning systems in intelligent control: An appraisal of fuzzy, neural and genetic algorithm control applications [J]. IEE Proc. Control Theory Appl, 1996, 143 (4): 367-386.
31. Lu Jianhong, Chen Laijiu. Fuzzy PID controller and its application study in temperature control system [J]. Proceedings of the CSEE, 1995, 15 (1): 16-22.
32. Ju Gang, Chen Laijiu. Fuzzy predictive control and its application study in temperature control system [J]. Proceedings of the CSEE, 1996, 16 (1): 17-21.
33. Fan Yibo, et al. Superheated stream temperature intelligent control based on adaptive neural network [J]. Power Engineering, 1998, 18 (2); 7-10.
34. Ma Ping, Zhu Yanfei, Niu Zheng. Main stream temperature control system based on neural network [J]. Journal of North China Electric Power University, 2001, 28 (1): 52-55.
35. Zhang Jingtao, Wang Wei, Cao Fang. Intelligent control method application study in the 300 MW power unit main steam temperature control system [J]. Proceedings of the CSEE, 1999, 19 (3): 6-10.
36. Gu Junjie, et al. Fuzzy control of reheater steam temperature [J]. Power Engineering, 1997, 17 (6): 26-29.
37. Lu Jianhong, Chen Jianqin, Chen Laijiu. A simulation study on load control system of thermal power unit based on adaptive neural model [J]. Proceedings of the CSEE, 1995, 15 (1): 1-7.
38. Zhang Jianming, Wang Ning, Wang Shuqing. Fuzzy-neuro compound coordination control for a unit of power plant [J]. Power Engineering, 1999, 19 (3): 38-42.
39. Zhang Jianming, Wang Ning, Wang Shuqing. Fuzzy neuron model-free coordination control with feed-forward compensation for a unit power plant [J]. Power Engineering, 2000, 20 (3): 664-668.
40. Li Tianyou. A weighted algorithm of fuzzy logic strategy on water level control of steam generator [A]. The 36th IEEE Conference on Decision and Control [C], San Diego, California USA. 1997, 10-12.
41. Niu Peifeng, Chu Dongsheng. The intelligence control for the steam drum water-supply process of the boiler with lash load [J]. Power Engineering, 2000, 20 (6): 963-964.
42. Liu Xiangjie, Chai Tianyou, Liu Hongbo. Fuzzy logic strategy for boiler control [J]. ACTA Automatica Sinica, 1998, 24 (4): 538-564.
43. Liu Xiangjie, et al. Identification of boiler models and its fuzzy logic control strategy [J]. Proceedings of the CSEE, 1999, 19 (8): 1-6.
44. Lu Jianhong, et al. Multivariable fuzzy control system of generator's and condenser's water levels for 200 MW and below thermal power units [J]. Electric Power, 2001, 34 (1): 55-58.