Coke Oven Collector Pressure Control Based on Subspace Identification

doi:10.12068/j.issn.1005-3026.2014.05.006

Abstract

Abstract: In the light of the characteristics of multivariable， coupling and time variation of coke oven gas collector pressure， a incremental online subspace multivariable predictive control strategy was designed for coke oven gas collector pressure. On the basis of incremental subspace predictive control， rolling window subspace identification method was introduced to design the updating strategy of subspace predictor model， and the online subspace adaptive predictive control was realized. Online subspace identification method was used to identify field data of coke oven gas collecting system and better predicted precision was obtained. State space model of gas collecting system was built based on subspace predictor model. In the condition of considering input constraints， timevarying model and disturbance， the control strategy indicated good control precision and performance for state space model of gas collector pressure.

Key words: coke oven, gas collector pressure, online subspace identification, modeling, adaptive predictive control

CLC Number:

TP273

LIU Xinming， GAO Xianwen， MA Yunxia. Coke Oven Collector Pressure Control Based on Subspace Identification[J]. Journal of Northeastern University Natural Science, 2014, 35(5): 630-634.

References

[1] 高忠仁.焦炉集气管压力与鼓风机综合控制系统［J］.冶金自动化，2009，33(6):7/12.(Gao Zhongren.Comprehensive control system of gas pressure in coke oven collector and blower［J］.Metallurgical Industry Automation，2009，33(6):7/12.)
[2] Liu X M，Gao X W，Wang W.Survey on coke oven gascollector pressure control［C］//2011 Chinese Control and Decision Conference.Mianyang，2011:528/533.
[3] Song L J，Mazumder J.Feedback control of melt pool temperature during laser cladding process［J］.IEEE Transactions on Control Systems Technology，2011，19(6):1349/1356.
[4] Privara S，Jan S，Ferkliroky L，et al.Model predictive control of a building heating system:the first experience［J］.Energy and Buildings，2011，43(2/3):564/572.
[5] 孙磊，金晓明.基于子空间辨识的模型预测控制策略及其应用［J］.控制理论与应用，2009，26(3):313/315.(Sun Lei，Jin Xiaoming.Modelpredictivecontrol based on subspace identification and its application［J］.Control Theory and Applications，2009，26(3):313/315.)
[6] 刘福来，陈萍萍，汪晋宽，等.基于多参数二次规划的零陷展宽和旁瓣控制方法［J］.东北大学学报:自然科学版，2012，33(11):1559/1562.(Liu Fulai，Chen Pingping，Wang Jinkuan，et al.Null broadening and side lobe control method based on multi parametric quadratic programming［J］.Journal of Northeastern University:Natural Science，2012，33(11):1559/1562.)
[7] Yang N，Li D，Zhang J，et al.Model predictive controller design and implementation on FPGA with application to motor servo system［J］.Control Engineering Practice，2012，20(11):1229/1235.
[8] Yang H，Shao L.Subspacebased adaptive predictive control for a class of nonlinear systems［J］.International Journal of Innovative Computing，Information and Control，2005，1(4):743/753.
[9] Hale E T，Qin S J.Subspace model predictive control and a case study［C］//Proceedings of the American Control Conference.Anchorage，2002:4758/4763.

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