针对多变量耦合时滞系统的无模型控制改进算法

doi:10.11949/j.issn.0438-1157.20151611

化工学报 ›› 2016, Vol. 67 ›› Issue (6): 2488-2494.DOI: 10.11949/j.issn.0438-1157.20151611

针对多变量耦合时滞系统的无模型控制改进算法

牛培峰, 李梦宁, 孙丽朋, 马云鹏, 刘魏岩, 李刚

燕山大学电气工程学院, 河北秦皇岛 066004

收稿日期:2015-10-26 修回日期:2016-02-21 出版日期:2016-06-05 发布日期:2016-06-05
通讯作者: 牛培峰
基金资助:
国家自然科学基金项目(61573306)。

Improved model-free control algorithm for multivariate coupling time-delay system

NIU Peifeng, LI Mengning, SUN Lipeng, MA Yunpeng, LIU Weiyan, LI Gang

School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, Hebei, China

Received:2015-10-26 Revised:2016-02-21 Online:2016-06-05 Published:2016-06-05
Supported by:
supported by the National Natural Science Foundation of China (61573306).

摘要/Abstract

摘要：

工业生产是国家经济发展的命脉,而在工业生产中过程控制起到非常重要的作用。实际的工业过程控制系统难以避免时滞,再者大部分的工业化生产过程都不只有一个被控量且往往互相耦合,种种原因使得整个控制过程难以建立准确的数学模型,因此一般控制方法难以实现令人满意的控制。无模型自适应控制(model free adaptive control,MFAC)方法无须建立被控对象准确模型,可直接进行控制器的设计,考虑针对被控系统的大时滞特性,将基本MFAC算法中的控制律进行变周期差值分析,增大控制输入差值周期,对原有控制算法进行改进,并对MIMO系统实现直接解耦控制。以循环流化床锅炉燃烧过程模型为例,MATLAB计算机模拟仿真实验表明该改进算法具有良好的控制效果。

关键词: 多变量耦合, 大时滞, 无模型自适应, 过程控制, 改进算法, 计算机模拟, 循环流化床

Abstract:

The industrial production is the lifeline of the country's economic development, and the process control plays an important role in industrial production. Inevitably, the actual industrial process control systems are time-delay system. Besides, there are more than one controlled variable in most of the industrial production processes, and these controlled variables are coupled. All of these factors result in a huge difficulty to build an exact mathematical model for the control system, indicating that the tradition control methods cannot meet the control requirements nicely. With model-free adaptive control (MFAC) method, controller can be directly designed without exact model to reach the control objectives. Given the large time-delay of CFBB, the control law in MFAC is analyzed by changing the period of D-value,and control algorithm should be improved by increasing the period of D-value. Then, the decoupling control strategy of MIMO can be achieved. In the end, taking the circulating fluidized bed boiler combustion process as example, the MATLAB computer simulation results show that the algorithm has better control effect.

Key words: multivariate coupling, large time-delay, model-free adaptive, process control, improved algorithm, computer simulation, circulating fluidized bed

中图分类号:

TK323

牛培峰, 李梦宁, 孙丽朋, 马云鹏, 刘魏岩, 李刚. 针对多变量耦合时滞系统的无模型控制改进算法[J]. 化工学报, 2016, 67(6): 2488-2494.

NIU Peifeng, LI Mengning, SUN Lipeng, MA Yunpeng, LIU Weiyan, LI Gang. Improved model-free control algorithm for multivariate coupling time-delay system[J]. CIESC Journal, 2016, 67(6): 2488-2494.

参考文献 20

[1]	HJALMARSSON H, GUNNARSSON S, GEVERS M. A convergent iterative restricted complexity control design scheme [C]//IEEE Conference on Decision & Control, 1994, 2: 1735-1740.
[2]	CAMPI M C, LECCHINI A, SAVARESI S M. Virtual reference feedback tuning: a direct method for the design of feedback controllers [J]. Automatica, 2002, 38 (8): 1337-1346.
[3]	侯忠生. 非线性系统参数辨识, 自适应控制及无模型学习自适应控制 [D]. 沈阳: 东北大学, 1994. HOU Z S. Parameter identification of nonlinear systems, adaptive control and model-free learning adaptive control [D]. Shenyang: Northeastern University, 1994.
[4]	侯忠生. 再论无模型自适应控制 [J]. 系统科学与数学, 2014, 34 (10):1182-1191. HOU Z S. Highlight and perspective on model free adaptive control [J]. Journal of Systems Science & Mathematical Sciences, 2014, 34 (10): 1182-1191.
[5]	侯忠生. 无模型自适应控制的现状与展望 [J]. 控制理论与应用, 2006, 23 (4): 586-592. HOU Z S. On model-free adaptive control: the state of the art and perspective [J]. Control Theory & Applications, 2006, 23 (4): 586-592.
[6]	HOU Z, BU X. Model free adaptive control with data dropouts [J]. Expert Systems with Applications, 2011, 38 (8): 10709-10717.
[7]	侯忠生. 再论无模型自适应控制 [J]. 系统科学与数学, 2014, (10): 1182-1191. HOU Z S. Again on model-free adaptive control [J]. Systems Science and Mathematics, 2014, (10): 1182-1191.
[8]	TAN K K, HUANG S N, LEE T H, et al. Adaptive-predictive PI control of a class of SISO systems [C]//American Control Conference, 1999. Proceedings of the 1999. IEEE, 1999, 6: 3848-3852.
[9]	HOU Z, JIN S. Model Free Adaptive Control: Theory and Applications [M]. CRC Press, 2013.
[10]	韩志刚, 蒋爱平, 汪国强. 无模型控制方法对多变量耦合系统控制的应用研究 [J]. 控制与决策, 2004, 19 (10): 1155-1158, 1162. HAN Z G, JIANG A P, WANG G Q. Study on control of multivariable coupling systems with model free control method [J]. Control and Decision, 2004, 19 (10): 1155-1158, 1162.
[11]	MARSHALL J E. Control of Time-delay Systems [M]. London: Institution of Electrical Engineers, 1979.
[12]	ZHENG Q, GAO Z. Predictive active disturbance rejection control for processes with time delay [J]. ISA Transactions, 2014, 53 (4): 873-881.
[13]	ZHANG J, ZHANG H, LUO Y, et al. Model-free optimal control design for a class of linear discrete-time systems with multiple delays using adaptive dynamic programming [J]. Neurocomputing, 2014, 135: 163-170.
[14]	金尚泰, 侯忠生. 一类非线性大滞后系统的改进无模型自适应控制 [J]. 控制理论与应用, 2008, 25 (4): 623-626. JIN S T, HOU Z S. An improved model-free adaptive control for a class of nonlinear large delay systems [J]. Control Theory & Applications, 2008, 25 (4): 623-626.
[15]	王东, 周东华, 金以慧. 自适应广义一般模型控制 [J]. 化工学报, 2003, 54 (3): 344-349. WANG D, ZHOU D H, JIN Y H. Adaptive generalized generic model control [J]. Journal of Chemical Industry and Engineering (China), 2003, 54 (3): 344-349.
[16]	李秀英, 李桂英, 毛琳, 等. 采用改进粒子群算法的非线性大时滞系统无模型控制 [J]. 智能系统学报, 2013, 8 (3): 254-260. LI X Y, LI G Y, MAO L, et al. Model-free control method for a nonlinear system with large time-delay based on IPSO [J]. CAAI Transactions on Intelligent Systems, 2013, 8 (3): 254-260.
[17]	牛培峰, 柴天佑. 采用国产 75t/h 循环流化床锅炉的单元机组汽压自适应控制系统 [J]. 控制理论与应用, 1998, 15 (1): 82-86. NIU P F, CHAI T Y. The Steam pressure self-adaptive control system of a monoblock with home-made 75t/h CFBB [J]. Control Theory & Applications, 1998, 15 (1): 82-86.
[18]	牛培峰. 大型国产循环流化床锅炉燃烧过程智能控制系统应用研究 [J]. 中国电机工程学报, 2000, 20 (12): 62-66. NIU P F. An introduce combustion process control system application and research for circulation fluidized bad boilers of giant domestic manufacture [J]. Proceedings of the CSEE, 2000, 20 (12): 62-66
[19]	杨晨, 何祖威, 唐胜利,等. 大型循环流化床锅炉整体动态模型的构成及其求解方法 [J]. 化工学报, 2001, 52 (12):1083-1089. YANG C, HE Z W, TANG S L, et al. Integrated dynamic modeling of large scale circulating fluidized bed boiler and its solution [J]. Journal of Chemical Industry and Engineering (China), 2001, 52 (12): 1083-1089.
[20]	童一飞, 金晓明. 基于广义预测控制的循环流化床锅炉燃烧过程多目标优化控制策略 [J]. 中国电机工程学报, 2010, 30 (11): 38-43. TONG Y F, JIN X M. Optimal control of multi-objective in circulating fluidized bed boiler combustion process based on generalized predictive control method [J]. Proceedings of the CSEE, 2010, 30 (11): 38-43.

针对多变量耦合时滞系统的无模型控制改进算法

Improved model-free control algorithm for multivariate coupling time-delay system

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献 20

相关文章 15

编辑推荐

Metrics

本文评价

[1]	陈哲文, 魏俊杰, 张玉明. 超临界水煤气化耦合SOFC发电系统集成及其能量转化机制[J]. 化工学报, 2023, 74(9): 3888-3902.
[2]	曹跃, 余冲, 李智, 杨明磊. 工业数据驱动的加氢裂化装置多工况切换过渡状态检测[J]. 化工学报, 2023, 74(9): 3841-3854.
[3]	刘远超, 关斌, 钟建斌, 徐一帆, 蒋旭浩, 李耑. 单层XSe₂（X=Zr/Hf）的热电输运特性研究[J]. 化工学报, 2023, 74(9): 3968-3978.
[4]	康飞, 吕伟光, 巨锋, 孙峙. 废锂离子电池放电路径与评价研究[J]. 化工学报, 2023, 74(9): 3903-3911.
[5]	文兆伦, 李沛睿, 张忠林, 杜晓, 侯起旺, 刘叶刚, 郝晓刚, 官国清. 基于自热再生的隔壁塔深冷空分工艺设计及优化[J]. 化工学报, 2023, 74(7): 2988-2998.
[6]	邵远哲, 赵忠盖, 刘飞. 基于共同趋势模型的非平稳过程质量相关故障检测方法[J]. 化工学报, 2023, 74(6): 2522-2537.
[7]	张媛媛, 曲江源, 苏欣欣, 杨静, 张锴. 循环流化床燃煤机组SNCR脱硝过程气液传质和反应特性[J]. 化工学报, 2023, 74(6): 2404-2415.
[8]	刘尚豪, 贾胜坤, 罗祎青, 袁希钢. 基于梯度提升决策树的三组元精馏流程结构最优化[J]. 化工学报, 2023, 74(5): 2075-2087.
[9]	苏晓丹, 朱干宇, 李会泉, 郑光明, 孟子衡, 李防, 杨云瑞, 习本军, 崔玉. 湿法磷酸半水工艺考察与石膏结晶过程研究[J]. 化工学报, 2023, 74(4): 1805-1817.
[10]	张中秋, 李宏光, 石逸林. 基于人工预测调控策略的复杂化工过程多任务学习方法[J]. 化工学报, 2023, 74(3): 1195-1204.
[11]	张江淮, 赵众. 碳三加氢装置鲁棒最小协方差约束控制及应用[J]. 化工学报, 2023, 74(3): 1216-1227.
[12]	袁妮妮, 郭拓, 白红存, 何育荣, 袁永宁, 马晶晶, 郭庆杰. 化学链燃烧过程Fe₂O₃/Al₂O₃载氧体表面CH₄反应：ReaxFF-MD模拟[J]. 化工学报, 2022, 73(9): 4054-4061.
[13]	朱莲峰, 王超, 张梦娟, 刘方正, 贾鑫, 安萍, 许光文, 韩振南. 水蒸气/氧流化床两段煤气化制备低焦油合成气工艺实验[J]. 化工学报, 2022, 73(8): 3720-3730.
[14]	张东旺, 杨海瑞, 周托, 黄中, 李诗媛, 张缦. 生物质锅炉对流受热面积灰冷态模拟实验研究[J]. 化工学报, 2022, 73(8): 3731-3738.
[15]	赵涛岩, 曹江涛, 李平, 冯琳, 商瑀. 区间二型模糊免疫PID在环己烷无催化氧化温度控制系统中的应用[J]. 化工学报, 2022, 73(7): 3166-3173.