Restricted structure control of multiple model systems with series 2 DOF tracking and feedforward action
Grimble, M.J. (2001) Restricted structure control of multiple model systems with series 2 DOF tracking and feedforward action. Optimal Control Applications and Methods, 22 (4). pp. 157-196. ISSN 0143-2087 (http://dx.doi.org/10.1002/oca.689)
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The solution of a scalar optimal control problem is discussed where the feedback, series tracking and feedforward controllers are chosen to have a very simple. Each controller term may be chosen to be of reduced order, lead/lag, or PID forms, and the controller is required to minimize an LQG cost-index. The optimization is based upon a cost-function which also allows separate costing of the terms due to the feedback, tracking and feedforward controllers. The system model can be uncertain and can be represented by a set of models over which the optimization is performed. This provides a form of robust optimal control that might even be applied to non-linear systems that can be approximated by a set of linearized models. The theoretical problem considered is to obtain the causal, stabilizing, feedback, series-tracking and feedforward controllers, of a prespecified form, that minimize an LQG criterion over the set of possible linear plant models. The underlying practical problem of importance is to obtain a simple method of tuning low-order controllers, given only an approximate model of the process. The results are illustrated in a power generation control problem for a system represented by 12 different linearized plant models. The single feedback controller that is obtained has a simple form and stabilizes the full set of models.
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Item type: Article ID code: 23616 Dates: DateEventJuly 2001PublishedSubjects: Technology > Mechanical engineering and machinery Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Strathprints Administrator Date deposited: 06 Jul 2010 10:48 Last modified: 11 Nov 2024 09:29 URI: https://strathprints.strath.ac.uk/id/eprint/23616