Investigations into implementation of an iterative feedback tuning algorithm into microcontroller
Master Thesis
2008
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University of Cape Town
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Implementation of an Iterative Feedback Tuning (IFT) and Myopic Unfalsified Control (MUC) Algorithm into microcontroller is investigated in this dissertation. Motivation in carrying out this research emanates from successful results obtained in application of IFT algorithm to various physical systems since the method was originated in 1995 by Hjalmarsson [4]. The Motorola DSP56F807C microcontroller is selected for use in the investigations due to its matching characteristics with the requirements of IFT algorithm. Speed of program execution, large memory, in-built ADC & DAC and C compiler type are the key parameters qualifying for its usage. The Analog Devices ARM7024 microcontroller was chosen as an alternative to the DSP56F807C where it is not available. Myopic Unfalsified Control (MUC) is noted to be similar to IFT since it also employs ‘myopic’ gradient based steepest descent approach to parameter optimization. It is easier to implement in that its algorithm is not as complex as the IFT one, meaning that successful implementation of IFT algorithm in a microcontroller would obviously permit the implementation of MUC into microcontroller as well.
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Includes bibliographical references (leaves 73-75).
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Himunzowa, G. 2008. Investigations into implementation of an iterative feedback tuning algorithm into microcontroller. University of Cape Town.