Papermaking Process Basis Weight Control Based on PIDDMC Optimal Algorithm

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Abstract:

In the papermaking actual process basis weight of paper sheet often has properties of nonlinearity, time-varying, uncertainty and larger-time delay. With the improvement of control requirements, traditional PID control is not ideal, and DMC control depends on the process model which needs the actual feedback information to complete repeated online optimization. So a novel PIDDMC combined optimal algorithm is proposed to obtain the satisfied performance index. Simulation is analyzed to show that the algorithm can be well performed with high accuracy and stability.

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1258-1261

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March 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Dumont, GA. Application of Advanced Control Methods in the Pulp and Paper Industry[J]. Automatica, 1986, pp.143-153.

DOI: 10.1016/0005-1098(86)90076-2

Google Scholar

[2] Heaveb, E.M., etal. Application of system identification to Paper machine model development and simulation[J]. Pulp paper Canada, 1996, pp.49-54.

Google Scholar

[3] Xiao Zhongjun. Research on intelligent control system for papermaking process. Shaanxi University of Science and Technology, (2011).

Google Scholar

[4] T Shen, J Zhu. Robust stability analysis for dynamic matrix control[J]. Acta Automatica Sinica, 2003, Vol. 29, No. 6, pp.1023-1026.

Google Scholar

[5] Grimble, M.J., and Ordys, A.W. Predictive control for industrial applications[J]. Annual Reviews in Control, Vol. 25, pp.13-24, (2001).

DOI: 10.1016/s1367-5788(01)00003-7

Google Scholar

[6] Mayne, Rawlings, J.B., Rao, C.V. and Scokaert, P.O.M. Constrained model predictive control: Stability and optimality[J]. Automatica, 36: 789-814, (2000).

DOI: 10.1016/s0005-1098(99)00214-9

Google Scholar