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...

基于LQG基准的预测控制器经济敏感度分析及调节准则

DOI: 10.3724/SP.J.1004.2013.01735, PP. 1735-1740

Keywords: 经济性能评估,敏感度分析,调节准则,LQG基准,子空间辨识

Full-Text   Cite this paper   Add to My Lib

Abstract:

?为考虑控制变量方差变化对控制器经济性能的影响,提出一种基于线性二次高斯(LinearQuadraticGaussian,LQG)基准的预测控制器经济敏感度分析方法及调节准则.首先由子空间辨识算法推导出带输入输出变量加权的LQG基准一般描述形式,在此基础上,构造了基于方差调节和基于约束松弛的两个优化问题进行敏感度分析,最终求解得到敏感变量的方差调节量和约束松弛量以提高控制器的经济效益.Shell塔仿真实验结果表明本文方法的有效性.

References

[1]  Chai Tian-You. Challenges of optimal control for plant-wide production processes in terms of control and optimization theories. Acta Automatica Sinica, 2009, 35(6): 641-649(柴天佑. 生产制造全流程优化控制对控制与优化理论方法的挑战. 自动化学报, 2009, 35(6): 641-649)
[2]  Young R E. Petroleum refining process control and real-time optimization. IEEE Control Systems Magazine, 2006, 26(6): 73-83
[3]  Huang B, Qi F. Book review on process control performance assessment: from theory to implementation. IEEE Transactions on Automatic Control, 2008, 53(4): 1083-1084
[4]  Bauer M, Craig I K. Economic assessment of advanced process control-A survey and framework. Journal of Process Control, 2008, 18(1): 2-18
[5]  Zhao C, Su H Y, Gu Y, Chu J. A pragmatic approach for assessing the economic performance of model predictive control systems and its industrial application. Chinese Journal of Chemical Engineering, 2009, 17(2): 241-250
[6]  Xu F W, Huang B, Akande S. Performance assessment of model predictive control for variability and constraint tuning. Industrial and Engineering Chemistry Research, 2007, 46(4): 1208-1219
[7]  Lee K H, Tamayo E C, Huang B. Industrial implementation of controller performance analysis technology. Control Engineering Practice, 2010, 18(2): 147-158
[8]  Xu Q L, Zhao C, Zhang D F, Aimin A, Zhang C. Data-driven LQG benchmaking for economic performance assessment of advanced process control systems. In: Proceedings of the 2011 American Control Conference. San Francisco, USA: IEEE, 2011. 5085-5090
[9]  Marshman D J, Chmelyk T, Sidhu M S, Gopaluni R B, Dumont G A. Economic performance assessment with optimized LQG benchmarking in MIMO systems. In: Proceedings of the 9th International Symposium on Dynamics and Control of Process Systems. Leuven, Belgium: IEEE, 2010. 761-766
[10]  Chintapalli P S K, Douglas J M. The use of economic performance measures to synthesize optimal control systems. Industrial and Engineering Chemistry Fundamentals, 1975, 14(1): 1-10
[11]  Harris T J, Boudreau F, Macgregor J F. Performance assessment of multivariable feedback controllers. Automatica, 1996, 32(11): 1505-1518
[12]  Van Overschee P, De Moor B L. Subspace Identification for Linear Systems: Theory Implementation Applications. Boston: Kluwer Academic Publishers, 1996. 79-92
[13]  Engell S. Feedback control for optimal process operation. Journal of Process Control, 2007, 17(3): 203-219
[14]  Kadam J V, Marquardt W, Schlegel M, Backx T, Bosgra O H, Brouwer P J, Dunnebier G, van Hessem D, Tiagounov A, de Wolf S. Towards integrated dynamic real-time optimization and control of industrial processes. In: Proceedings of the 2003 Foundations of Computer Aided Process Operations. Florida, USA: Coral Springs, 2003. 593-596
[15]  Wei D H, Craig I. Development of performance functions for economic performance assessment of process control systems. In: Proceedings of the 2009 IEEE AFRICON. Nairobi, Kenya: IEEE, 2009. 1-6
[16]  Lee K H, Huang B, Tamayo E C. Sensitivity analysis for selective constraint and variability tuning in performance assessment of industrial MPC. Control Engineering Practice, 2008, 16(10): 1195-1215
[17]  Muske K R. Estimating the economic benefit from improved process control. Industrial and Engineering Chemistry Research, 2003, 42(20): 4535-4544
[18]  Lee K H, Xu F W, Huang B, Tamayo E C. Controller performance analysis technology for industry: implementation and case studies. In: Proceedings of the 17th World Congress. Seoul, Korea: IFAC, 2008. 14912-14919
[19]  Zhao C, Zhao Y, Su H Y, Huang B. Economic performance assessment of advanced process control with LQG benchmarking. Journal of Process Control, 2009, 19(4): 557-569
[20]  Liu Z, Gu Y, Xie L. MPC economic performance assessment based on equal-grid LQG benchmark. In: Proceedings of the 2011 International Symposium on Advanced Control of Industrial Processes. Hangzhou, China: IEEE, 2011. 632-637
[21]  Zhao C, Xu Q L, Zhang D F, An A M. Economic performance assessment of process control: a probability optimization approach. In: Proceedings of the 2011 International Symposium on Advanced Control of Industrial Processes. Hangzhou, China: IEEE, 2011. 585-590
[22]  Huang B, Shah S L, Kwok E K. Good, bad or optimal? Performance assessment of multivariable processes. Automatica, 1997, 33(6): 1175-1183
[23]  Kadali R, Huang B. Controller performance analysis with LQG benchmark obtained under closed loop conditions. ISA Transactions, 2002, 41(4): 521-537

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133