Please wait a minute...
J4  2011, Vol. 45 Issue (8): 1490-1497    DOI: 10.3785/j.issn.1008-973X.2011.08.028
自动化技术     
基于经济指标的分层递阶控制系统性能评估
傅若玮, 宋执环
浙江大学 工业控制研究所,工业控制技术国家重点实验室, 浙江 杭州 310027
Economic-based performance assessment of hierarchical control systems
FU Ruo-wei, SONG Zhi-huan
State Key Laboratory of Industrial Control Technology, Institute of Industrial Process Control,
Zhejiang University, Hangzhou310027, China
 全文: PDF 
摘要:

为了解决复杂多变量过程工业平稳安全运行与经济效益最大化共同实现的问题,提出一种分层递阶控制结构的性能评估方法.通过分析分层递阶控制的直接控制、约束控制和实时优化三层垂直结构,构建出抑制扰动、不违反约束和经济效益最大化的控制目标函数.通过计算该控制系统的最优-最差性能区间,给出了一种面向经济性能的评估基准和新的评估指标,提出一种根据开环模型和调节器参数计算被控系统广义对象模型的方法,在此基础上实时监测和评估过程的生产经济效益,并分析存在的最大提升潜力,能有效减少模型与真实对象失配引起的控制性能下降.对Shell重油分馏塔模型的仿真结果表明了本文方法的可靠性和有效性.

关键词: 过程工业分层递阶控制系统经济性能评估基准    
Abstract:

In order to ensure multivariable industrial processes operating in a safe and economic mode, a method for control performance assessment of hierarchical control systems was proposed. The three-layer structure of a hierarchical control system: direct control layer, constraint control layer and real-time optimization layer, was analyzed to formulate the control objective functions of three aspects: suppressing disturbances, keeping constraints and maximizing process profits, respectively. A control performance assessment benchmark called “best to worst performance range” was established to monitor the economic performance of industrial processes, and to evaluate how much potential would be improved. To avoid the degradation of control performance due to model-plant mismatch, a method to compute generalized object model through open loop model and regulatory parameters was presented. The reliability and efficacy of the proposed performance assessment technique is demonstrated on a case study on Shell heavy oil fractionator control problem.

Key words: process industry    hierarchical control systems    economic performance    assessment    benchmark
出版日期: 2011-08-30
:  TP 273  
基金资助:

国家自然科学基金资助项目(60774067,60736021);国家“863”高技术研究发展计划资助项目(2009AA04Z154).

通讯作者: 宋执环,男,教授,博导.     E-mail: zhsong@iipc.zju.edu.cn
作者简介: 傅若玮(1984—),女,博士生,从事过程控制性能评估及故障诊断的研究工作.E-mail: rwfu@iipc.zju.edu.cn
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  

引用本文:

傅若玮, 宋执环. 基于经济指标的分层递阶控制系统性能评估[J]. J4, 2011, 45(8): 1490-1497.

FU Ruo-wei, SONG Zhi-huan. Economic-based performance assessment of hierarchical control systems. J4, 2011, 45(8): 1490-1497.

链接本文:

http://www.zjujournals.com/xueshu/eng/CN/10.3785/j.issn.1008-973X.2011.08.028        http://www.zjujournals.com/xueshu/eng/CN/Y2011/V45/I8/1490

[1] 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[J].自动化学报,2009,35(6): 641-649.
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.
[2] TATJEWSKI P. Advanced control of industrial processes: structures and algorithms [M]. London: Springer, 2007: 1-29.
[3] SCATTOLINI R. Architectures for distributed and hierarchical Model Predictive ControlA review [J]. Journal of Process Control, 2009, 19(5): 723-731.
[4] TATJEWSKI P. Advanced control and online process optimization in multilayer structures [J]. Annual Reviews in Control, 2008, 32(1): 71-85.
[5] HARRIS T J. Assessment of control loop performance [J]. Canadian Journal of Chemical Engineering, 1989, 67(10): 856-861.
[6] HARRIS T J, BOUDREAU F, MACGREGOR J F. Performance assessment of multivariable feedback controllers [J]. Automatica, 1996, 32(11): 1505-1518.
[7] XU Fangwei, HUANG Biao. Performance assessment of model predictive control for variability and constraint tuning [J]. Industrial & Engineering Chemistry Research.,2007, 46(4): 1208-1219.
[8] ZHAO Chao, ZHAO Yu, SU Hongye et al. Economic performance assessment of advanced process control with LQG benchmarking [J]. Journal of Process Control, 2009, 19(4): 557-569.
[9] CAMPO P J, HOLCOMB T R, GELORMINO M S, et al. Decentralized control system design for a heavy oil fractionator: the Shell control problem [C]∥ The Second Shell Process Control Workshop: Solutions to the Shell Standard Control Problem. Stoneham,MA: Butterworths, 1990: 315-365.
[10] PRETT D M, MORARI M. Shell process control workshop [M]. Stoneham: Butterworth Publishers, 1987: 350-360.
[11] VLACHOS C, WILLIAMS D, GOMM J B. Solution to the Shell standard control problem using genetically tuned PID controllers [J]. Control Engineering Practice, 2002, 10(2): 151-163.
[12] YING C M, JOSEPH B. Performance and stability analysis of LPMPC and QPMPC cascade control systems [J]. AIChE Journal, 1999, 45(7): 1521-1534.
[13] KETTUNEN M, ZHANG P, JAMSAJOUNELA S L. An embedded fault detection, isolation and accommodation system in a model predictive controller for an industrial benchmark process [J]. Computers and Chemical Engineering, 2008, 32(12): 2966-2985

[1] 秦培江, 马永亮, 韩超帅, 曲先强. 海上风机支撑结构的频域疲劳评估方法研究[J]. 浙江大学学报(工学版), 2017, 51(9): 1712-1719.
[2] 许翔, 黄侨, 任远. 局部变权和云理论在悬索桥综合评估中的应用[J]. 浙江大学学报(工学版), 2017, 51(8): 1544-1550.
[3] 李英民, 杨龙, 刘烁宇, 罗文文. 基于可恢复指标的结构损伤机制评价方法[J]. 浙江大学学报(工学版), 2017, 51(11): 2197-2206.
[4] 岳文泽, 高佳斌, 熊昌盛. 基于CA非均质性邻接关系的城市扩张模拟[J]. 浙江大学学报(工学版), 2017, 51(11): 2232-2238.
[5] 廖小伟, 王元清, 宗亮, 施刚. 基于有效缺口应力法的钢桥焊接细节疲劳分析[J]. 浙江大学学报(工学版), 2017, 51(1): 1-8.
[6] 贾驰千, 冯冬芹. 基于模糊层次分析法的工控系统安全评估[J]. 浙江大学学报(工学版), 2016, 50(4): 759-765.
[7] 梁耀,冯冬芹. 基于攻击增益的工业控制系统物理层安全风险评估[J]. 浙江大学学报(工学版), 2016, 50(3): 589-.
[8] 修思文, 李彦哲, 黄凯, 马德, 晏荣杰, 严晓浪. 面向MPSoC性能评估的高速缓存建模技术[J]. 浙江大学学报(工学版), 2015, 49(7): 1367-1375.
[9] 曹宇, 刘紫嫣. 大口径复合材料管水下铺设的安全性评估[J]. 浙江大学学报(工学版), 2015, 49(6): 1108-1115.
[10] 卢颖,郭良杰,侯云玥,赵云胜,陈连进. 多灾种耦合综合风险评估方法在城市用地规划中的应用[J]. 浙江大学学报(工学版), 2015, 49(3): 538-546.
[11] 曹宇, 刘紫嫣. 大口径复合材料管水下铺设的安全性评估[J]. 浙江大学学报(工学版), 2015, 49(2): 3-4.
[12] 张兴友, 王守相. 配电系统与通信相关的风险评估[J]. 浙江大学学报(工学版), 2014, 48(4): 568-574.
[13] 崔磊, 何勇, 金伟良. 不同海域Semi平台关键节点的疲劳可靠性分析[J]. J4, 2013, 47(8): 1329-1337.
[14] 鲍鑫 ,贺治国,王振宇,吴钢锋,刘国华,钱镜林. 台风暴雨影响区溃坝洪灾淹没损失评估[J]. J4, 2012, 46(9): 1638-1646.
[15] 袁幸,朱永生,张优云,洪军,祁文昌. 基于正反问题的滚动轴承损伤程度评估[J]. J4, 2012, 46(11): 1960-1967.