DocumentCode :
2010534
Title :
A New Framework for Controller Performance Assessment
Author :
Yuan, Qiaolin ; Lennox, Barry
Author_Institution :
Manchester Univ., Manchester
fYear :
2007
fDate :
May 30 2007-June 1 2007
Firstpage :
2679
Lastpage :
2684
Abstract :
A new framework of controller performance assessment is presented. The control performance index -relative variance index is recalculated more simply by adopting the normal operating data plus knowledge of the plant model. Then, the potential improvement to control performance by retuning the controller can be detected according to a comparison of the current control performance with that of the optimally tuned controller, which is based on the regeneration of normal operating data accuracy without estimating the disturbance model, instead, estimating disturbance directly. This helps define the best controller for specific systems, in order to make immune from any exceptional disturbance. The benefits of this new control performance assessment framework are demonstrated on a univariate system simulation.
Keywords :
optimal control; performance index; control performance index; controller performance assessment; data accuracy; optimally tuned controller; plant model; relative variance index; Automatic control; Automation; Control systems; Current control; Delay effects; Open loop systems; Optimal control; Performance analysis; Product safety; Production systems; Harris index; closed-loop system identificaton; controller performance assessment; minimum variance control; relative variance index;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0818-4
Electronic_ISBN :
978-1-4244-0818-4
Type :
conf
DOI :
10.1109/ICCA.2007.4376848
Filename :
4376848
Link To Document :
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