<![CDATA[ Power Electronics, IET - new TOC ]]>
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TOC Alert for Publication# 4475725 2014November 17<![CDATA[Minimisations of total harmonic distortion in cascaded transformers multilevel inverter by modifying turn ratios of the transformers and input voltage regulation]]>711268726941070<![CDATA[Effective space vector modulation switching sequence for three phase Z source inverters]]>711269527031020<![CDATA[High step-up interleaved converter with soft-switching using a single auxiliary switch for a fuel cell system]]>711270427161368<![CDATA[Small-capacity grid-connected solar power generation system]]>71127172725717<![CDATA[Finite control set predictive control based on Lyapunov function for three-phase voltage source inverters]]>71127262732778<![CDATA[Single-phase ac–dc–ac multilevel five-leg converter]]>71127332742907<![CDATA[Comparison of power losses, current and voltage stresses of semiconductors in voltage source transformerless multilevel inverters]]>711274327571526<![CDATA[Hybrid state of charge estimation for lithium-ion batteries: design and implementation]]>H_{∞} filter and radial basis function (RBF) networks. The RBF network's parameters are adjusted off-line by acquired data from the battery in charging step. This kind of neural network approximates the non-linear function utilised in the state-space equations of the extended H_{∞} filter. The advantages of the proposed method are 3-fold: (i) it is not necessary to require the measurement and process noise covariance matrices as Kalman filter, (ii) the SOC is directly estimated and (3) it is a robust estimator in the sense of H_{∞} criteria. The state variables are composed of the SOC and the battery terminal voltage. The experimental results illustrate the feasibility of the proposed method in terms of robustness, accuracy and convergence speed.]]>71127582764773<![CDATA[Induction motor control based on approximate stator flux]]>v/f control method. In ASFC, in linear modulation range, to control rotating field speed and stator flux modulus, desired voltage vector components in line with and perpendicular to the stator flux vector are calculated. Based on these two components, three-phase voltages are applied to three-phase inverter using pulse-width modulation strategy. In addition, in overmodulation range, a switching-table-based approach is presented to control the rotating field speed by adjusting the stator flux modulus. The relationship between the stator flux modulus and rotating field speed is derived and it is shown that average switching frequency is calculable and under control. Through simulations and experiments, ASFC method is compared with v/f method in terms of motor behaviour in starting and steady-state operation. Also, correctness of presented formulas is validated by simulations and experimental results.]]>711276527771387<![CDATA[Research on input-voltage feedforward control for high-order converter topologies]]>711277827901795<![CDATA[Generalised transformerless ultra step-up DC–DC converter with reduced voltage stress on semiconductors]]>n stages of diode–capacitor–inductor (D–C–L) units at the input side and m units of voltage multiplier cells (VMCs) at the output side. Increasing of D–C–L units and VMCs, lead to high-voltage gain at low duty cycle. Lower values of duty cycle will result in increasing of converter controllability and increasing of operation region. Also by increasing of VMCs, the voltage stress across the main switch and other semiconductors is reduced severely. Decreasing of voltage stress across the main switch leads to use a switch with lower R_{DS-ON} that reduces on state losses of the proposed converter. Besides, by decreasing of voltage stress across the diode rectifiers, diodes with less forward voltage drop can be adopted. The circuit performance will be compared with other solutions that were previously proposed for voltage step-up in the terms of voltage gain, main switch voltage stress and number of components. Finally, a 357 V–65.5 W laboratory prototype with 92% conversion efficiency is built in order to prove the satisfying operation of the proposed converter and carried mathematical analysis.]]>711279128051046<![CDATA[Non-isolated multi-input–single-output DC/DC converter for photovoltaic power generation systems]]>71128062816891<![CDATA[Magnetically coupled high-gain Y-source isolated DC/DC converter]]>711281728241097<![CDATA[Application of shunt active power filter for harmonic reduction and reactive power compensation in three-phase four-wire systems]]>711282528361541<![CDATA[Control scheme for cascaded H-bridge converter-based distribution network static compensator]]>71128372845843<![CDATA[Efficiency improvement on two-switch buck-boost converter with coupled inductor for high-voltage applications]]>711284628561123<![CDATA[Analysis and design of pulse frequency modulation discontinuous-current-mode dielectric barrier corona discharge with constant applied electrode voltage]]>711285728691067<![CDATA[Recursive integral proportional–integral control based on membership cloud for active power filter]]>X-term two-dimensional (2D) cloud generator as forward cloud generator and Y-term 1D cloud generator as backward cloud generator is built for cloud reasoning. The outputs from the rule generator are dealt with to obtain their numerical values. The system controlling performance is analysed, which is compared with the recursive integral PI based on fuzzy theory. Simulation and experimentation are done and the results verify the feasibility and good performance of the proposed controlling method. The APF can suppress harmonic currents well.]]>71128702876628<![CDATA[Evaluation of current stresses in nine-switch energy conversion systems]]>711287728861238<![CDATA[Pulse-width modulation control strategy for high efficiency LLC resonant converter with light load applications]]>71128872894937