Analysis and development of iterative fast model control strategies for systems with constraints
PhD Thesis
Title | Analysis and development of iterative fast model control strategies for systems with constraints |
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Type | PhD Thesis |
Authors | |
Author | Ghude, Sarang |
Supervisor | Billingsley, John |
Institution of Origin | University of Southern Queensland |
Qualification Name | Doctor of Philosophy |
Number of Pages | 166 |
Year | 2011 |
Abstract | In this research, new fast model control strategies are developed and analysed. To avoid confusion with the competing directions taken by Predictive Control The possibility of extending IFMC strategies for systems up to an nth order is supported by development of IFMC strategies for 6th to 11th order systems. The purpose of any real time controller is to determine the drive that should be applied to the plant at each instant. In IFMC, this is performed with the aid of a fast model of the system that can run at a speed that may be a thousand or more times that of the system. Then a decision on plant input is made, based on the fast model behaviour. The input is constrained at both extremes, full positive and full negative. Fast Model Control strategies were developed from the mid 1950s, initially termed Predictive control although subsequently this term has been taken up by a different |
Keywords | iterative fast model control strategies; IFMC; state constraints |
ANZSRC Field of Research 2020 | 400799. Control engineering, mechatronics and robotics not elsewhere classified |
400103. Aircraft performance and flight control systems | |
Byline Affiliations | Faculty of Engineering and Surveying |
https://research.usq.edu.au/item/q213v/analysis-and-development-of-iterative-fast-model-control-strategies-for-systems-with-constraints
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