Iterative Feedback Tuning into Microcontroller - Himunzowa, Grayson
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Implementation of an Iterative Feedback Tuning (IFT) and Myopic Unfalsified Control (MUC) Algorithm is investigated. The Motorola DSP56F807C and ARM7024 microcontrollers are selected for use in the investigations due to their matching characteristics with the requirement of the two algorithms. Speed of program execution, large memory, in-built ADC and DAC and C compiler type are the key parameters qualifying their usage. 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…mehr

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Produktbeschreibung
Implementation of an Iterative Feedback Tuning (IFT) and Myopic Unfalsified Control (MUC) Algorithm is investigated. The Motorola DSP56F807C and ARM7024 microcontrollers are selected for use in the investigations due to their matching characteristics with the requirement of the two algorithms. Speed of program execution, large memory, in-built ADC and DAC and C compiler type are the key parameters qualifying their usage. 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.
Autorenporträt
Mr. Grayson Himunzowa holds Advanced Certificate in Electronics & Telecommunication, Advanced Diploma in Electrical Engineering, Bachelor of Engineering in Electrical (in Electronics and Telecommunication) from University of Zambia, Master of Science in Engineering in Electrical (in Control Systems) from University of Cape Town