Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/11212
Title: | Variable Transition Time Predictive Control |
Authors: | Kowalska, Kaska |
Advisor: | Mohrenschildt, Martin von Down, Doug Down, Doug |
Department: | Computing and Software |
Keywords: | optimal control;variable sampling;receding horizon control;Controls and Control Theory;Process Control and Systems;Controls and Control Theory |
Publication Date: | Oct-2011 |
Abstract: | <p>This thesis presents a method for the design of a predictive controller with variable step sizes.Predictive methods such as receding horizon control (or model predictive control) use aa fixed sampling frequency when updating the inputs. In the proposed method, the switchingtimes are incorporated into an optimization problem, thus resulting in anadaptive step-size control process. The controller with variable timesteps is shown to require less tuning and to reduce the number of expensive model evaluations.An alternate solution approach had to be developed to accommodate the new problem formulation.The controller's stability is proven in a context that does not require terminal cost or constraints.The thesis presents examples that compare the performance of the variable switching time controllerwith the receding horizon method with a fixed step size. This research opens many roads for futureextension of the theoretical work and practical applications of the controller.</p> |
URI: | http://hdl.handle.net/11375/11212 |
Identifier: | opendissertations/6198 7195 2242998 |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
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fulltext.pdf | 802.9 kB | Adobe PDF | View/Open |
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