<![CDATA[ IET Electric Power Applications - new TOC ]]>
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TOC Alert for Publication# 4079749 2017July 20<![CDATA[Guest Editorial]]>11695395597<![CDATA[PMSG-based wind energy conversion systems: survey on power converters and controls]]>1169569681244<![CDATA[Fault-tolerant predictive power control of a DFIG for wind energy applications]]>1169699801628<![CDATA[Series-connected multi-half-bridge modules converter for integrating multi-megawatt wind multi-phase permanent magnet synchronous generator with dc grid]]>1169819901104<![CDATA[Brushless doubly-fed induction machines for wind turbines: developments and research challenges]]>1169911000764<![CDATA[5L full-scale converter with a dc-link flying-capacitor auxiliary bridge leg for large direct-drive wind turbines]]>116100110121855<![CDATA[Second-order sliding-mode-based global control scheme for wind turbine-driven DFIGs subject to unbalanced and distorted grid voltage]]>11610131022766<![CDATA[Design guidelines for fractional slot multi-phase modular permanent magnet machines]]>116102310311136<![CDATA[SRG converter topologies for continuous conduction operation: a comparative evaluation]]>116103210421481<![CDATA[Intelligent tracking control of a PMLSM using self-evolving probabilistic fuzzy neural network]]>116104310541828<![CDATA[Control of SRM drive for photovoltaic powered water pumping system]]>116105510661375<![CDATA[Improved method for field analysis of surface permanent magnet machines using Schwarz–Christoffel transformation]]>11610671075724<![CDATA[Detection of mixed eccentricity fault in doubly-fed induction generator based on reactive power spectrum]]>11610761084896<![CDATA[Position sensorless technology of switched reluctance motor drives including mutual inductance]]>116108510941114<![CDATA[Unbalanced magnetic force prediction in permanent magnet machines with rotor eccentricity by improved superposition method]]>116109511041260<![CDATA[Indirect field-oriented torque control of induction motor considering magnetic saturation effect: error analysis]]>11611051113774<![CDATA[Hybrid analytical model of switched reluctance machine for real-time hardware-in-the-loop simulation]]>®, Ansys Simplorer^{®}, and Simulink^{®}, which model the SRM, drive circuit, and control system, respectively.]]>116111411231631<![CDATA[Minimisation of torque ripple in slotless axial flux BLDC motors in terms of design considerations]]>11611241130406<![CDATA[Accuracy of time domain extension formulae of core losses in non-oriented electrical steel laminations under non-sinusoidal excitation]]>11611311139699<![CDATA[Carrier signal injection-based sensorless control for permanent magnet synchronous machine drives with tolerance of signal processing delays]]>1/10 pulse width modulation (PWM) switching frequency), which can lead to enhanced system bandwidths. However, simultaneously, signal processing delay effects (e.g., PWM duty ratio updating delay, etc.) become prominent, resulting in large phase shifts of carrier currents. On the other hand, the high frequency (HF) resistance effects may also be enlarged. Consequently, large oscillating position estimation errors will arise for the pulsating injection method due to carrier signal distortions induced by the delay and HF resistance effects. In order to suppress the undesirable position errors, based on the theoretical analyses, a new compensation strategy of maximizing the useful inductive saliency part and minimising the resistive saliency components using a PI regulator is proposed. The proposed position error suppression method is very easy and simple to implement, and moreover can significantly improve the sensorless control performance. Furthermore, the similar compensation strategy can also be applied for the position error compensation for rotating injection method as will also be discussed in this paper. Finally, the theoretical analyses and compensation effectiveness are validated by experiments on a laboratory interior permanent magnet machine.]]>116114011491041