全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

网络信息模式下分布式系统协调预测控制

DOI: 10.3724/SP.J.1004.2013.01778, PP. 1778-1786

Keywords: 预测控制,分布式系统,分布式预测控制,大系统,协调控制

Full-Text   Cite this paper   Add to My Lib

Abstract:

?工业系统中广泛存在一类由多个相互关联的子系统组成的大系统.尽管分布式控制结构的性能没有集中式控制好,但由于其具有较高的灵活性和容错性,相对于集中控制更加适合控制上述系统.在保持容错性的情况下如何提高系统的整体性能是分布式控制的一个难点问题.本文提出了一种分布式预测控制(Distributedmodelpredictivecontrol,DMPC)方法,该方法通过在各子系统预测控制器的性能指标中加入输入变量对其下游子系统的影响的二次函数,来扩大分布式预测控制的协调度,进而在不增加网络连通度,不改变系统容错性的前提下,提高系统的性能.另外,本文给出了基于该协调策略的带输入约束的分布式预测控制器的设计方法,在初始可行的前提下,该方法相继可行并可保证系统渐近稳定.

References

[1]  Christofides P D, Scattolini R, Mu?oz de la Pe?a D, Liu J F. Distributed model predictive control: a tutorial review and future research directions. Computers & Chemical Engineering, 2013, 51: 21-41
[2]  Chai Tian-You, Li Shao-Yuan, Wang Hong. Networked modeling and contorl for complex industrial processes. Acta Automatica Sinica, 2013, 39(5): 469-470 (柴天佑, 李少远, 王宏. 网络信息模式下复杂工业过程建模与控制. 自动化学报, 2013, 39(5): 469-470)
[3]  Qin S J, Badgwell T A. A survey of industrial model predictive control technology. Control Engineering Practice, 2003, 11(7): 733-764
[4]  Kong Xiao-Bing, Liu Xiang-Jie. Nonlinear model predictive control for DFIG-based wind power generation. Acta Automatica Sinica, 2013, 39(5): 636-643 (孔小兵, 刘向杰. 双馈风力发电机非线性模型预测控制. 自动化学报, 2013, 39(5): 636-643)
[5]  Li Shao-Yuan. Model Predictive Control for Global Operating Condition System and Its Implementation. Beijing: Science Press, 2008 (李少远. 全局工况系统预测控制及其应用. 北京: 科学出版社, 2008)
[6]  Doan M D, Keviczky T, De Schutter B. An iterative scheme for distributed model predictive control using Fenchel's duality. Journal of Process Control, 2011, 21(5): 746-755
[7]  Al-Gherwi W, Budman H, Elkamel A. A robust distributed model predictive control based on a dual-mode approach. Computers & Chemical Engineering, 2013, 50: 130-138
[8]  Scheu H, Marquardt W. Sensitivity-based coordination in distributed model predictive control. Journal of Process Control, 2011, 21(5): 715-728
[9]  Al-Gherwi W, Budman H, Elkamel A. A robust distributed model predictive control algorithm. Journal of Process Control, 2011, 21(8): 1127-1137
[10]  Zheng Y, Li S Y, Wang X B. Distributed model predictive control for plant-wide hot-rolled strip laminar cooling process. Journal of Process Control, 2009, 19(9): 1427-1437
[11]  Dunbar W B, Murray R M. Distributed receding horizon control for multi-vehicle formation stabilization. Automatica, 2006, 42(4): 549-558
[12]  Li S Y, Zhang Y, Zhu Q M. Nash-optimization enhanced distributed model predictive control applied to the Shell benchmark problem. Information Sciences, 2005, 170(2-4): 329-349
[13]  Zheng Y, Li S Y, Qiu H. Networked coordination-based distributed model predictive control for large-scale system. IEEE Transactions on Control Systems Technology, 2013, 21(3): 991-998
[14]  Zheng Y, Li S Y, Li N. Distributed model predictive control over network information exchange for large-scale systems. Control Engineering Practice, 2011, 19(7): 757-769
[15]  Zheng Y, Li S Y, Wang X B. Optimization target resetting distributed model predictive control for accelerated cooling process. In: Proceedings of the 10th World Congress on Intelligent Control and Automation. Beijing, China: IEEE, 2012. 2764-2769
[16]  Mayne D Q, Rawlings J B, Rao C V, Scokaert P O M. Constrained model predictive control: stability and optimality. Automatica, 2000, 36(6): 789-814
[17]  Scattolini R. Architectures for distributed and hierarchical model predictive control——a review. Journal of Process Control, 2009, 19(5): 723-731
[18]  Min Hai-Bo, Liu Zhi-Guo, Liu Yuan, Wang Shi-Cheng, Yang Yan-Li. Coordination control of networked Euler-Lagrange systems with possible switching topology. Acta Automatica Sinica, 2013, 39(7): 1003-1010 (闵海波, 刘志国, 刘源, 王仕成, 杨艳丽. 切换网络拓扑下Euler-Lagrange系统的分布式协调控制. 自动化学报, 2013, 39(7): 1003-1010)
[19]  Xi Yu-Geng. Model Predictive Control. Beijing: National Defence Industry Press, 1993 (席裕庚. 预测控制. 北京: 国防工业出版社, 1993)
[20]  Yang Jian, Xi Yu-Geng, Zhang Zhong-Jun. Time decomposition for moving horizon optimization in predictive control. Acta Automatica Sinica, 1995, 21(5): 555-561 (杨健, 席裕庚, 张钟俊. 预测控制滚动优化的时间分解方法. 自动化学报, 1995, 21(5): 555-561)
[21]  Camponogara E, Jia D, Krogh B H, Talukdar S. Distributed model predictive control. IEEE Control Systems, 2002, 22(1): 44-52
[22]  Maestre J M, Mu?oz de la Pe?a D, Camacho E F, Alamo T. Distributed model predictive control based on agent negotiation. Journal of Process Control, 2011, 21(5): 685-697
[23]  Al-Gherwi W, Budman H, Elkamel A. Selection of control structure for distributed model predictive control in the presence of model errors. Journal of Process Control, 2010, 20(3): 270-284
[24]  Morosan P D, Bourdais R, Dumur D, Buisson J. A distributed MPC strategy based on Benders' decomposition applied to multi-source multi-zone temperature regulation. Journal of Process Control, 2011, 21(5): 729-737
[25]  Mc Namara P, Negenborn R R, De Schutter B, Lightbody G. Optimal coordination of a multiple HVDC link system using centralized and distributed control. IEEE Transactions on Control Systems Technology, 2013, 21(2): 302-314
[26]  Farina M, Scattolini R. Distributed predictive control: a non-cooperative algorithm with neighbor-to-neighbor communication for linear systems. Automatica, 2012, 48(6): 1088-1096
[27]  Stewart B T, Venkat A N, Rawlings J B, Wright S J, Pannocchia G. Cooperative distributed model predictive control. Systems & Control Letters, 2010, 59(8): 460-469
[28]  Zheng Y, Li S. The stabilization of coordinated distributed model predictive control. In: Proceedings of the 13th IFAC Symposium on Large Scale Complex Systems: Theory and Applications. Shanghai, China: IFAC, 2013
[29]  Zheng Y, Li S Y, Wu J, Zhang X X. Stabilized neighborhood optimization based distributed model predictive control for distributed system. In: Proceedings of the 31st Chinese Control Conference. Hefei, China: IEEE, 2012. 4212-4217
[30]  Alvarado I, Limon D, Mu?oz de la Pe?a D, Maestre J M, Ridao M A, Scheu H, Marquardtb W, Negenbornc R R, De Schutterc B, Valenciad F, Espinosad J. A comparative analysis of distributed MPC techniques applied to the HD-MPC four-tank benchmark. Journal of Process Control, 2011, 21(5): 800-815

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133