On Applications of Generalized Intelligent Control System Synthesis Method Based on Idea of System Generalized Performance Index

Article Preview

Abstract:

Every control theory has its advantages and shortages. It is difficult to adopt single control theory or method to solve technical problems of complex control system. Taking asymptotically tracking and disturbance rejection of complex controlled object as an example, the Reference is to explore noetic method of control science, and approve the control ideas of broad the nonlinear control system performance indicators Receiving the thought of metasynthetic engineering, a generalized intelligent control system has been designed by fusing manifold control ideas, which is beneficial to bring colony wisdom into play and is accordance with opening great system study pattern, and is expansible. There has presented sufficiency conditions and proves of the system stability, and salience effect has been acquired in engineering practice.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 634-638)

Pages:

3970-3988

Citation:

Online since:

January 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] GUAN Z Z. Identification and control of complex system, Collected Works of GUAN Zhao-zhi, Beijing: Science Publishing House, 1986.175-178

Google Scholar

[2] Huang Lin, Duan Zhisheng. Complexity in Control Science[J]. Acta Automatica Sinica, 2003, 29(5): 748-754

Google Scholar

[3] GAO Zhiqiang. On Disturbance Rejection Paradigm in Control Engineering [C]. Proceedings of the 29th Chinese Control Conference, Beijing, China, (2010)

Google Scholar

[4] Zheng Dazhong. Linear System Theory [M], Beijing: Tsinghua University Press, 2002, p.1, pp.22-31,pp.54-74,pp.81-97

Google Scholar

[5] DUAN Guangren. Linear System Theory [M], Harbin Institute of Technology Press, (2004)

Google Scholar

[6] H. Rosenbrock. State-space and multivariable theory [M]. New York: Wiley- Interscience, (1970)

Google Scholar

[7] A. Wolovich. Linear multivariable systems [M]. New York: Springer- Verlag, (1974)

Google Scholar

[8] Chai Tianyou, Liu Hongbo, Zhang Jing et al. Novel design method for the coordinated control system based on fuzzy reasoning and adaptive control and its application [J]. Proceedings of the CSEE , 2000, 20(4): 14-18

Google Scholar

[9] Yu Daren,Xu Zhiqiang,Guo Hongbo,et al.the control of boiler pressure based on neural networks decoupling linearization [J].Proceedings of the CSEE,2002,22(5):143-147

Google Scholar

[10] Yu Tao,Zhu Shouzhen, Shen Shande,et al. Extended state observer based nonlinear robust coordinated control of power systems[J].Proceedings of the CSEE,2004,24(4):1-5

Google Scholar

[11] Han Zhongxu.Concept of increment function observer and its application in state feedback control[J].Proceedings of the CSEE, 2004,24(4):210-216

Google Scholar

[12] Hua Zhigang,Lü Jianhong,Zhang Tiejun.Rearch and application of state variable-predictive control in 600MW unit reheater temperature control system[J].Proceedings of the CSEE,2005, 25(12):103-107

Google Scholar

[13] LUAN Xiu-chun, LI Shi-yong, WU Jian-jun, et al. Takagi-Sugeno Fuzzy Coordinated Control System Based on Fuzzy State Observer for Power [J]. Proceedings of the CSEE,, 2006, 26(4): 76-81

Google Scholar

[14] LU Qiang, ZHENG Shaoming, MEI Shengwei, et al. NR-PSS (Nonlinear Robust Power System Stabilizer) for large synchronous generators and its large disturbance experiments on real time digital simulator [J]. China Science E: Science and Technology. 2008, 51(4): 337-352

DOI: 10.1007/s11431-008-0038-4

Google Scholar

[15] DONG Ya-Li, YANG Ying-Juan, FAN Jiao-Jiao. Observer Design for a Class of Multi-input Multi-output Nonlinear Systems Based on Input-output Linearization Approach[J]. Acta Automatica Sinica, 2008, 34(8): 880-885

DOI: 10.3724/sp.j.1004.2008.00880

Google Scholar

[16] WU Min, ZHOU Lan, SHE Jin-Hua, et al. Repetitive Control Design Based on Two-dimensional Hybrid Model and State Observer[J]. Acta Automatica Sinica, 2009, 35(7): 945-952

DOI: 10.3724/sp.j.1004.2009.00945

Google Scholar

[17] Qian Xue-Sen, Yu Jing-Yuan, Dai Ru-Wei. A new discipline of science-the study of open complex giant system and its methodology. Chinese Journal of Nature, 1990, 13(1):3-10, 64

Google Scholar

[18] DAI Ru-Wei, LI Yao-Dong. Researches on hall for workshop of metasynthetic engineering and system complexity. Complex Systems and Complexity Science, 2004, 1(4): 1-24

Google Scholar

[19] DAI Ru-Wei. The Proposal and Recent Development of Metasynthetic Method(M) from Qualitative to Quantitative [J]. CHINESE JOURNAL OF NATURE, 2009, 31(6): 311-314,326

Google Scholar

[20] DAI Ru-Wei,HANG Lei-Ming. The Creation and Development of Noetic (Cognitive) Science in China [J]. Acta Automatica Sinica, 2010, 36(2): 193-109

DOI: 10.3724/sp.j.1004.2010.00193

Google Scholar

[21] Dai Ru-Wei. Qian Xue-Sen0s great contributions to the systems science and noetic science. The Proceedings of the Symoposium about Qian Xue-Sen0s Scienti¯c Contributions and Academic Thoughts. Beijing: China Science and Technology Press, 2001. 54-58

Google Scholar

[22] HAN Zhong-xu. Concept of Generalized Intelligent Control as well as Research and Application on Thermal Control Field[J]. Proceedings of the CSEE, 2008, 28(s):84-90

Google Scholar

[23] HAN Zhong-xu, ZHU Ze-lei. Asymptotic Stability Analysis on Generalized Intelligent Coordinated Control System of 600MW Unit and Engineering Application[C].2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM 2010), Harbin, China. (2010)

DOI: 10.1109/iclsim.2010.5461350

Google Scholar

[24] HAN Zhong-xu. Connotation and Compatibility of Generalized Intelligent Control [C]. Proceedings of the 29th Chinese Control Conference, Beijing, China, (2010)

Google Scholar

[25] HAN Zhongxu. Stability Robustness and Fault-Tolerant Capability of Generalized Intelligent Control [J]. Control Engineering of China,(2010)

Google Scholar

[26] CHAI Tian-You. Challenges of Optimal Control for Plant-wide Production Processes in Terms of Control and Optimization Theories [J]. Acta Automatica Sinica, 2009, 35(6): 641-649

DOI: 10.3724/sp.j.1004.2009.00641

Google Scholar

[27] ZHANG Chen-gan, ZHANG Guo-qiang. System distinguish and parameter estimate [M], Beijing: Mechanism industry Press,, 1986:210

Google Scholar

[28] HAN Zhong-xu, ZHOU Chuan-xin, LI Dan, et al. Soft Measurement Technology of Coal-fired Heat and Its Application on Supercritical Generating Unit Control System[J]. Proceedings of the CSEE, 2008, 28(35):90-95

Google Scholar

[29] HAN Zhong-xu. Designing Method of Asymptotically Tracking and Disturbance Control to Non-linear Control System [J]. Proceedings of the CSEE, 2010, 30(35):78-87 ( in Chinese)

Google Scholar

[30] HAN Zhong-xu, ZHOU Chuan-xin, LI Dan, et al. Soft Measurement Technology of Coal-fired Heat and Its Application on Supercritical Generating Unit Control System[J]. Proceedings of the CSEE, 2008, 28(35):90-95

Google Scholar

[31] Han Zhongxu,Zhang Zhi,Liu Min,et al.Application and design of coordinated control system for No.1& 2 600MW unit of Beilun power Plant[J].Proceedings of the CSEE,2006,26(18): 126-132(in Chinese).

Google Scholar

[32] Engell S. Feedback control for optimal process operation. Journal of Process Control, 2007, 17(3): 203-219

DOI: 10.1016/j.jprocont.2006.10.011

Google Scholar

[33] Chai T Y, Wu F H, Ding J L, Su C Y. Intelligent worksituation fault diagnosis and fault-tolerant system for roasting process of shaft furnace. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 2007, 221(6): 843-855

DOI: 10.1243/09596518jsce364

Google Scholar

[34] LU Qiang, HE Guangyu, MEI Shengwei, et al. Advanced EMS and its trial operation in Shanghai power system[J]. China Science E: Science and Technology. 2008, 51(2): 220―224.

DOI: 10.1109/eit.2007.4374451

Google Scholar

[35] HE Guangyu, SUN Yingyun, YUAN Qiantu, et al. Modern power systems control centers: From EMS to AEMS [J]. China Science E: Science and Technology. 2009, 52(2):413-419

DOI: 10.1007/s11431-008-0312-5

Google Scholar

[36] HAN Zhong-xu, QI Xiao-hong, SUN Ying. The method heightening response rate to AGC by analog flexible fuzzy pre-feed coal control and its application[J]. Power System Technology, 2006, 30(supplement ):1-6 (in Chinese).

Google Scholar

[37] ZHANG Xianda. Matrix analysis and application [M], Beijing: Tsinghua University Press, 2004:pp.34-46

Google Scholar