化工学报 ›› 2018, Vol. 69 ›› Issue (S2): 266-273.DOI: 10.11949/j.issn.0438-1157.20180833
李凡, 许锋, 罗雄麟
收稿日期:
2018-07-23
修回日期:
2018-10-26
出版日期:
2018-12-31
发布日期:
2018-12-31
通讯作者:
许锋
基金资助:
国家自然科学基金项目(21676295)。
LI Fan, XU Feng, LUO Xionglin
Received:
2018-07-23
Revised:
2018-10-26
Online:
2018-12-31
Published:
2018-12-31
Supported by:
supported by the National Natural Science Foundation of China (21676295).
摘要:
化工过程通常为高维大系统,在进行底层常规PID控制系统设计时,难以得到最佳配对方案,迫切需要一种简便且快速的计算机优化算法解决该问题。对此提出了一种基于遗传算法的分散常规控制系统结构设计的优化求解算法。该算法基于遗传算法的思想,对结构矩阵进行字符串形式的编码,将变量配对转换成数组形式,选择合适的遗传算子,通过交叉、变异、选择等遗传操作,解得无约束条件下的最优变量配对方案。其次,结合约束条件对遗传算子适当改进和调整,以无约束条件下的最优配对方案为基础,仅需通过变异和选择算子,就可解得存在约束条件的最优变量配对方案,并且具有较快的计算速度。最后通过包括TE过程在内的实例分析证明了该算法的有效性与准确性。
中图分类号:
李凡, 许锋, 罗雄麟. 分散常规控制系统结构设计的遗传算法求解[J]. 化工学报, 2018, 69(S2): 266-273.
LI Fan, XU Feng, LUO Xionglin. Control configuration design with genetic algorithm for decentralized control system[J]. CIESC Journal, 2018, 69(S2): 266-273.
[1] | ELICES A, ROUCO L, BOURLES H, et al.Physical interpretation of state feedback controllers to damp power system oscillations[J].IEEE Transactions on Power Systems, 2004, 19(1):436-443. |
[2] | 罗雄麟, 任丽红, 蒋慧蓉, 等.基于多变量状态反馈预测控制的变量配对新方法[J].控制工程, 2013, 20(6):996-999.LUO X L, REN L H, JIANG H R, et al.A new pairing method based on multivariable state feedback predictive control[J].Control Engineering of China, 2013, 20(6):996-999. |
[3] | BRISTOL E.On a new measure of interaction for multivariable process control[J].IEEE Transactions on Automatic Control, 1966, 11(1):133-134. |
[4] | ZHAO J, YANG C, XUE Z, et al.Analysis on interactive influences among control loops of multi inverters connected to weak-structured power system[C]//International Conference on Power and Renewable Energy.IEEE, 2016:241-245. |
[5] | JOLEVSKI D, BEGO O, SARAJCEV P.Control structure design and dynamics modelling of the organic Rankine cycle system[J].Energy, 2017, 121:193-204. |
[6] | VIJAYAN A T, ASHOK S.Integrating visual guidance and feedback for an industrial robot[C]//2nd International Conference on Control and Robotics Engineering.IEEE, 2017:18-22. |
[7] | WANG Y, WANG W, WANG C, et al.Coupling analysis on current control at low switching frequency for the three-phase PWM converter based on RGA and a novel output feedback decoupling method[J].IEEE Transactions on Industrial Electronics, 2016, 63(11):6684-6694. |
[8] | KADHIM A M H, CASTANO M, BIRK W, et al.Relative gain array of weakly nonlinear systems using a nonparametric identification approach[C]//International Conference on Control Applications.IEEE, 2015:1612-1617. |
[9] | KADHIM A M H, BIRK W, ARRANZ M C.Dynamic relative gain array estimation using local polynomial approximation approach[J].Modeling Identification & Control, 2016, 37(4):247-259. |
[10] | MOAVENI B, KHAKISEDIGH A.Input-output pairing for nonlinear multivariable systems[J].Journal of Applied Sciences, 2007, 7(22):3492-3498. |
[11] | WITCHER M F, MCAVOY T J.Interaction control system:steady state and dynamic measurement of interaction[J].ISA Transactions, 1977, 16(3):35-41. |
[12] | HU W H, CAI W J, XIAO G X.Relative gain array for MIMO processes containing integrators and/or differentiators[C]//Control Automation Robotics & Vision.Singapore:Control Automation Robotics & Vision, 2010:231-235. |
[13] | HE M J, CAI W J, NI W, et al.RNGA based control system confi-guration for multivariable process[J].Journal of Process Control, 2009, 19(7):1036-1042. |
[14] | XIONG Q, CAI W J.Effective transfer function method for decen-tralized control system design of multi-input multi-output processes[J].Journal of Process Control, 2006, 16(8):773-784. |
[15] | 许锋, 潘琦, 王一岚, 等.工业过程多变量系统常规控制结构的频域设计[J].清华大学学报(自然科学版), 2016, 5(4):448-452.XU F, PAN Q, WANG Y L, et al.Frequency domain design method for decentralized control of multivariable processes[J].Journal of Tsinghua University (Science and Technology), 2016, 5(4):448-452. |
[16] | 罗雄麟, 任丽红, 周晓龙, 等.常规控制系统配对设计的动态相对增益阵研究[J].化工自动化及仪表, 2012, 39(3):295-300.LUO X L, REN L H, ZHOU X L, et al.Dynamic RGA for control system configuration of multivariable process[J].Control and Instruments in Chemical Industry, 2012, 39(3):295-300. |
[17] | 任丽红, 刘雨波, 罗雄麟, 等.多变量时滞系统的关联分析与变量配对[J].化工自动化及仪表, 2012, 39(6):743-746.REN L H, LIU Y B, LUO X L, et al.Association analysis and variable pairing for multivariable system with time delays[J].Control and Instruments in Chemical Industry, 2012, 39(6):743-746. |
[18] | HOLLAND J.Adaptation in natural and artificial systems:an introductory analysis with applications to biology, control and artificial intelligence[J].Quarterly Review of Biology, 1975, 6(2):126-137. |
[19] | HE Y, HUI C W.A binary coding genetic algorithm for multi-purpose process scheduling:a case study[J].Chemical Engineering Science, 2010, 65(16):4816-4828. |
[20] | YANG X, YANG Z, YIN X, et al.Chaos gray-coded genetic algorithm and its application for pollution source identifications in convection-diffusion equation[J].Communications in Nonlinear Science & Numerical Simulation, 2008, 13(8):1676-1688. |
[21] | DEEP K, THAKUR M.A new crossover operator for real coded genetic algorithms[J].Applied Mathematics & Computation, 2007, 188(1):895-911. |
[22] | 何东晓, 周栩, 王佐,等.复杂网络社区挖掘-基于聚类融合的遗传算法[J].自动化学报, 2010, 36(8):1160-1170.HE D X, ZHOU X,WANG Z, et al.Community mining in complex networks-clustering combination based genetic algorithm[J].Acta Automatica Sinica, 2010, 36(8):1160-1170. |
[23] | DEEP K.A new mutation operator for real coded genetic algrithms[J].Applied Mathematics & Computation, 2007, 193(1):211-230. |
[24] | ALBAYRAK M, ALLAHVERDI N.Development a new mutation operator to solve the traveling salesman problem by aid of genetic algorithms[J].Expert Systems with Applications, 2011, 38(3):1313-1320. |
[25] | RUDOLPH G.Convergence analysis of canonical genetic algo-rithms[J].IEEE Transactions on Neural Networks, 2002, 5(1):96-101. |
[26] | TESSEMA B, YEN G G.An Adaptive penalty formulation for constrained evolutionary optimization[J].IEEE Transactions on Systems, Man, and Cybernetics-Part A:Systems and Humans, 2009, 39(3):565-578. |
[27] | ELSAYED S M, SARKER R A, ESSAM D L.A new genetic algo-rithm for solving optimization problems[J].Engineering Applications of Artificial Intelligence, 2014, 27(C):57-69. |
[28] | NIEDERLINSKI A.A heuristic approach to the design of linear multivariable interacting control systems[J].Automatica, 1971, 7(6):691-701. |
[29] | 许锋, 袁未未, 罗雄麟.大系统结构分解的评价准则和控制系统结构设计方法[J].高校化学工程学报, 2018, 32(3):606-619.XU F, YUAN W W, LUO X L.Decomposition evaluation criteria and control structure design of large-scale systems[J].Journal of Chemical Engineering of Chinese Universities, 2018, 32(3):606-619. |
[30] | LIN L, GEN M.Priority-based genetic algorithm for shortest path routing problem in OSPF[M]//Intelligent and Evolutionary Systems.Springer Berlin Heidelberg, 2009:91-103. |
[31] | COIT D.Genetic algorithms and engineering design[J].Engineering Economist, 1998, 43(4):379-381. |
[32] | LUYBEN W L.Simple method for tuning SISO controllers in multivariable systems[J].Industrial & Engineering Chemistry Process Design & Development, 1986, 25(3):654-660. |
[33] | MCAVOY T J, YE N.Base control for the Tennessee Eastman problem[J].Computers & Chemical Engineering, 1994, 18(5):383-413. |
[34] | LUO X L, LIU Y B, XU F.Interaction analysis and decomposition principle for control structure design of large-scale systems[J].Chinese Journal of Chemical Engineering, 2014, 22(1):59-71. |
[1] | 李孟原, 崔祎, 王彧斐, 杨路, 李海东, 张奇琪, 常承林. 具有柔性拓扑结构的厂际多周期换热网络优化[J]. 化工学报, 2023, (): 1-12. |
[2] | 张忠义, 张磊, 王宇, 董亚超, 陶进, 李义, 佟毅, 庄钰, 刘琳琳, 都健. 基于数据挖掘的玉米淀粉果糖生产流程的关键位点筛选[J]. 化工学报, 2023, (): 1-11. |
[3] | 董轩, 彭肖祎, 廖祖维, 孙婧元, 蒋斌波, 王靖岱, 阳永荣. 基于能级总组合曲线的化工过程功-热公用工程设置[J]. 化工学报, 2018, 69(11): 4823-4831. |
[4] | 周文晋, 江苇, 邓春, 冯霄. 工业多水源供水网络优化设计[J]. 化工学报, 2018, 69(6): 2560-2566. |
[5] | 黄卫清, 谭桂平, 钱宇. 化工反应器系统的最大时滞可耐受度指数求解与应用分析[J]. 化工学报, 2018, 69(3): 974-981. |
[6] | 康丽霞, 刘永忠. 考虑冗余控制的多周期换热网络设计[J]. 化工学报, 2018, 69(3): 1022-1029. |
[7] | 黄卫清, 徐平如, 钱宇. 基于事故树方法的城市灰霾的致因机理分析:以天津市为例[J]. 化工学报, 2018, 69(3): 982-991. |
[8] | 胡永欣, 廖祖维, 王靖岱, 董宏光, 阳永荣. 面向CO2分离的膜-深冷耦合过程优化[J]. 化工学报, 2018, 69(3): 943-952. |
[9] | 黄灵军, 李伟, 王颖佳, 刘桂莲, 王志伟. 考虑多对耦合源阱的氢网络优化方法及其应用[J]. 化工学报, 2018, 69(3): 1038-1045. |
[10] | 谢府命, 许锋, 梁志珊, 罗雄麟, 石凤勇. 乙炔加氢反应器全周期操作优化[J]. 化工学报, 2018, 69(3): 1081-1091. |
[11] | 王杰, 曹道帆, 蓝兴英, 高金森. 用于催化裂化装置产率预测的Filter-Wrapper特征变量选择方法[J]. 化工学报, 2018, 69(1): 464-471. |
[12] | 陈旭, 梅从立, 徐斌, 丁煜函, 刘国海. 一种求解过程动态优化问题的生物地理学习粒子群算法[J]. 化工学报, 2017, 68(8): 3161-3167. |
[13] | 周业扬, 邓春, 周凌子, 冯霄. 多工况氢网络压缩机配置和运行优化[J]. 化工学报, 2017, 68(5): 1954-1960. |
[14] | 曹健, 牟鹏, 耿志强, 朱群雄. 工业系统超结构模型应用研究进展[J]. 化工学报, 2017, 68(3): 801-810. |
[15] | 江苇, 周晶, 邓春, 冯霄. 通用炼油厂水系统优化模型开发与应用[J]. 化工学报, 2017, 68(3): 932-940. |
阅读次数 | ||||||
全文 |
|
|||||
摘要 |
|
|||||