Article (Scientific journals)
Robust PI controller design for integrator plus deadtime process with stochastic uncertainties using operational matrix
Duong, Pham
2012In Korean Journal of Chemical Engineering, 30 (11), p. 1990-1996
Peer reviewed
 

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Keywords :
Dead-time Process; Operational Matrix; Stochastic Process,
Abstract :
[en] To increase the precision and reliability of process control, random uncertainty factors affecting the control system must be accounted for. We propose a novel approach based on the operational matrix technique for robust PI controller design for dead-time processes with stochastic uncertainties in both process parameters and inputs. The use of the operational matrix drastically reduces computational time in controller design and statistical analysis with a desired accuracy over that of the traditional Monte-Carlo method. Examples with deterministic and stochastic inputs were considered to demonstrate the validity of the proposed method. The computational effectiveness of the proposed method was shown by comparison with the Monte-Carlo method. The proposed approach was mainly derived based on the integrator plus dead-time process, but can be easily extended to other types of more complex stochastic systems with dead-time, such as a first-order plus dead-time or a second-order plus dead-time system.
Disciplines :
Mechanical engineering
Author, co-author :
Duong, Pham ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
External co-authors :
yes
Language :
English
Title :
Robust PI controller design for integrator plus deadtime process with stochastic uncertainties using operational matrix
Publication date :
2012
Journal title :
Korean Journal of Chemical Engineering
ISSN :
0256-1115
Publisher :
Springer
Volume :
30
Issue :
11
Pages :
1990-1996
Peer reviewed :
Peer reviewed
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