Algorithm and Implementation of Smith Predictive Control

Article Preview

Abstract:

With invariable time delay theoretically,Smith predictor is deeply studied,the fact that the Smith predictor depends on the math model of the system is found ,and so it is very difficult to control the time-varying delay system well. Therefore,it is necessary to take an effective method--using PID controller with the digital Smith predictor,and studying its control algorithm,and doing the simulation in the lab of micro-computer control. Simulation results have proved the efficiency of the algorithm and the validity.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

60-63

Citation:

Online since:

November 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] A. Bemporad, M. Morari, N.L. Ricker. Model privatives control toolbox user's guide. The Mathworks, Inc. 3, Apple Hill Drive, Natick, MA, (2005).

Google Scholar

[2] S.J. Qin, T.A. Badgwell. A survey of industrial model predictive control technology [J]. Control Engineering Practice, 2003, 11, pp: 733-764.

DOI: 10.1016/s0967-0661(02)00186-7

Google Scholar

[3] E.F. Camacho, C. Bordons. Model Predictive Control. Springer, New York, (1999).

Google Scholar

[4] J. Richalet, D. O'Donovan. Predictive Functional Control: Principles and Industrial Applications. Springer, (2009).

Google Scholar

[5] Hao Chen, Zoubir Zouaoui, Zheng Chen, A modified Smith predictive scheme based back-propagation neural network approach for FOPDT processes control, [J], Journal of Process Control, 2013, 23(9): 1261-1269.

DOI: 10.1016/j.jprocont.2013.07.003

Google Scholar

[6] H. Bouhenehir, M. Cabassud, M.V. LeLann. Predictive functional control for the temperature control of a chemical batch reactor. Computers and Chemical Engineering [J]. 2006, 30(6-7), pp: 1141-1154.

DOI: 10.1016/j.compchemeng.2006.02.014

Google Scholar

[7] M, Sbarciog, R. De Keyser, S. Cristea and C. De Prada. Nonlinear control of process with variable time delay, A temperature control case study. Proceeding of IEEE Multi-conference on Systems and Control Applications[J]. 2008: 3-5.

DOI: 10.1109/cca.2008.4629668

Google Scholar