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This dissertation, A Diagrammatic Algorithm for Minimum Sampling Frequency and Quantization Resolution for Digital Control of Power Converters by Cheuk-wai, Fung, 馮卓慧, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Abstract of thesis entitled A Diagrammatic Algorithm for Minimum Sampling Frequency and Quantization Resolution for Digital Control of Power Converters submitted by Fung Cheuk Wai for the degree of Master of Philosophy Digital control offers many advantages to switching power converters such as immunity to noise and component variations, fast design process and easy to implement control algorithms. However, due to the high cost of Digital Signal Processors, applications are limited to high power applications like motor drives and expensive systems. Applications of digital controllers for low power, mass produced ACDC power converters are still very limited. In order to make digital control a practical proposition for mass produced power supply products it is necessary to determine the minimum computing hardware configuration required for a digital power supply in order to minimize microcontroller cost. In this thesis, a solution algorithm for minimizes the sampling rate and quantization resolution in digital controlled power converters is presented. A low sampling rate allows more computation time, while low quantization resolution reduces hardware cost. The study establishes that the sampling rate and quantization resolution should not be chosen separately. The design idea is based on the interdependent property of sampling rate and quantization resolution in digital power converters to develop a diagrammatic approach to determine a minimum requirement of digital controller. A mixed signal control platform for switching power converters is also proposed, which can fully exploit the computing hardware and separate it from the converter switching frequency. 1A new algorithm is developed which provides a clear illustration in terms of a diagram for determines the sampling rate and quantization required for a power converter. Computer programs are developed to carry out the solution algorithm and parameters optimization in a MATLAB environment. Two fundamental DC/DC topologies buck and boost converters are used as the test systems and time simulations are used to analyze and compare the performance of the designed power converters. Hardware experiments were done to realize this method. Computer simulation and hardware results illustrate the effectiveness of the proposed algorithm in determining the minimum configurations of digital controlled power converters. The proposed algorithm helps engineers to choose digital controllers with minimum requirement in sampling and quantization resolution so that they can be applied in mass produced switching power converters. (345 words) 2 DOI: 10.5353/th_b3938996 Subjects: Digital control systemsElectric current convertersAlgorithms

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