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This paper discusses the implementation of a realtime model of a switched reluctance motor drive for which the parameters of its magnetisation curve are represented by the data in a look-up table. A method of cubic interpolation has been applied for the look-up table approximation in order to provide a high accuracy and realistic performance of the modelled motor drive. The model structure has been optimised for real-time execution in a motion control microcontroller operating under PWM frequency up to 40 kHz. The model is designed to be used in the students' coursework on the specialist subject of electric drive control.

This paper presents the results of simulation and practical tests of the inverter-based power converter with a sine output filter designed for implementation in an aircraft power system. In order to reduce the output voltage harmonic distortion, the converter utilises active software harmonics filtering. This work provides an analysis of the converter performance under two control algorithms applied for the active filtering operation. The first control algorithm is based on discrete Fourier transform (DFT) where the control system injects measured higher harmonics with inverse polarity into the inverter command voltage and DFT provides the measurement of the converter output voltage. The second control method is based on repetitive controller (RC) algorithms which adjusts the inverter command voltage using a self-learning approach. The second method significantly reduces the demand for CPU computational resources. The software filtering in both systems shows a good performance and ensures the converter output voltage with less than 5% THD under all load conditions. This paper discusses the structures for both proposed control systems as well as the implementation in MATLAB models and microcontroller software. Both algorithms are modelled in software and implemented in a practical microcontroller. The advantages of the RC-based control method are demonstrated through the software analysis and performance of the system.

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