Grimble, M.J. (2002) Controller performance benchmarking and tuning using generalised minimum variance control. Automatica, 38 (12). pp. 2111-2119. ISSN 0005-1098Full text not available in this repository. (Request a copy from the Strathclyde author)
The use of the generalised minimum variance control law for control loop performance assessment and benchmarking is considered. A novel derivation of the control law enables the link to minimum variance benchmarking to be explored and exploited. The main advantage lies in the generality of the weighted cost index and the simplicity of the results. The only price for this simplicity is the assumption on the choice of weightings. Simple expressions are provided for each of the cost terms that enable performance to be assessed, including the total performance index, variance of error and control signals and variance of weighted signals. These can be used to compare existing (classical) designs with optimal solutions using either models or real time normal operating records.
|Keywords:||benchmarking, minimum variance, polynomial systems, optimal control, industrial control, control systems, Electrical engineering. Electronics Nuclear engineering, Control and Systems Engineering, Electrical and Electronic Engineering|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering|
|Depositing user:||Strathprints Administrator|
|Date Deposited:||19 Jun 2007|
|Last modified:||22 Mar 2017 09:08|