Performance increasing of multiple model based control

Author

Shamsaddinlou, Ali ; Tohidi, Akbar ; Shamsadinlo, Behrang

Author_Institution

Adv. Process Autom. & Control (APAC) Res. Group in Electr. Eng. Dept., K.N. Toosi Univ. of Technol., Tehran, Iran

fYear

2013

fDate

28-30 Aug. 2013

Firstpage

599

Lastpage

604

Abstract

In this paper, two novel supervisory method for Multiple Models Predictive Control (MMPC) algorithm presented. Enhanced decision-making unit in MMPC is designed based on practical applicability notions and new fundamental control concepts. The goal is performance increasing of regulation and disturbance rejection. Presented algorithms are evaluated in simulation study on nonlinear pH neutralization process and Mean Arterial Pressure. Comparison results are provided to evaluate the performance and robustness characteristics of the proposed methods.

Keywords

blood vessels; chemical variables control; control system synthesis; decision making; nonlinear control systems; pH; performance index; predictive control; robust control; MMPC algorithm; control design; decision-making unit; disturbance rejection; mean arterial pressure; multiple model based control; multiple models predictive control; nonlinear pH neutralization process; performance increase; regulation performance; robustness characteristics; supervisory method; Adaptation models; Blood pressure; Computational modeling; Predictive models; Process control; Switches;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications (CCA), 2013 IEEE International Conference on

Conference_Location

Hyderabad

ISSN

1085-1992

Type

conf

DOI

10.1109/CCA.2013.6662815

Filename

6662815