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This paper presents the harmonic reduction performance of proportional resonant (PR) current controller in single phase inverter system connected to nonlinear load. In the study, proportional resonant current controller and low pass filter is discussed to eliminate low order harmonics injection in single phase inverter system. The potential of nonlinear load in producing harmonics is showed and identified by developing a nonlinear load model using a full bridge rectifier circuit. The modelling and simulation is done in MATLAB Simulink while harmonic spectrum results are obtained using Fast Fourier Transfor. End result show PR current controller capability to overcome the injection of current harmonic problems thus improved the overall total harmonic distortion (THD).

<span>This paper present the influence of pole number on the characteristics of permanent magnet synchronous motor (PMSM). This study is devoted to construct three different motors with varying pole numbers and investigating its effect on the characteristics of permanent magnet synchronous motor (PMSM). It is a study on an influence of pole numbers on electromagnetic and thermal characteristics of the PMSMs all while maintaining the same motor dimensions, parameters and slot number. The study is conducted to analyse the best slot-pole combination for a given dimension to determine if pole numbers have a role in the motor performance. The analysis for these permanent magnet motors is done via finite element analysis (FEA) in which JMAG Designer software is used. The software is used to analyse the motor performance in terms of cogging torque, speed, power, iron loss, copper loss as well as the efficiency of the motor itself. All three motors were simulated in no load and load condition.</span>

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<span>It is important to predict the temperature in some of the essential parts in machine design to prevent the machine from any damage. Most researchers usually not given much attention on thermal analysis during machine design as much as the electromagnet design. Therefore, in this study, two types of thermal modelling were proposed to predict the temperature of a permanent magnet synchronous machine (PMSM). Infolytica ThermNet software has been used since the software is related to Infolytica Magnet and the losses obtained from the electromagnetic field analysis are used as the heat source in the thermal analysis. Comparison has been done between the predicted temperature from lumped parameter model and finite element analysis. The results also will be validated by using experimental setup. Since Infolytica Magnet has been used to analyse the electromagnetic output therefore finite element analysis model is the better choice.</span>