Speed Model Predictive Control Based on the Track Error Rate

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Abstract:

In order to make the controlled object have better dynamical characteristics, through introducing the differential item of error into optimal performance index function of tracking error, an improved algorithm of model predictive control is discussed in this paper. The theoretical analysis and Matlab simulation results show that it has better controlled quality and stronger robustness for closed-loop system.

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839-842

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July 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] JIN yihui. Process Control. Bei Jing: Tsinghua university press.1997.

Google Scholar

[2] LI Guoyong. Intelligent Predictive Control and MATLAB. Bei Jing: Electronic Industry Press.2010.1

Google Scholar

[3] XI YuGeng, LI Dewei. Model Predictive Control - Status and Challenges .Acta Automatica Sinica, Vol.38, No.9 (2012), P.1-15

Google Scholar

[4] WANG Shuqing. Advanced Control technology and Application. Bei Jing: Chemical Industry Press, 2011.7

Google Scholar

[5] XI YuGeng, LI Dewei. Fundamental Philosophy and Status of Qualitative Synthesis of Model Predictive Control. Acta Automatica Sinica, Vol.34, No.10 (2008), P.1226-1234

DOI: 10.3724/sp.j.1004.2008.01225

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