<![CDATA[ IEEE Transactions on Industrial Electronics - new TOC ]]>
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TOC Alert for Publication# 41 2020March 26<![CDATA[Table of Contents]]>677C15219237<![CDATA[IEEE Industrial Electronics Society]]>677C2C2188<![CDATA[Carrier-Based PWM Equivalent to Multilevel Multiphase Space Vector PWM Techniques]]>677522052316256<![CDATA[An SVM Approach for Five-Phase Current Source Converters Output Current Harmonics and Common-Mode Voltage Mitigation]]>677523252456140<![CDATA[Adaptive Threshold Correction Strategy for Sensorless High-Speed Brushless DC Drives Considering Zero-Crossing-Point Deviation]]>677524652576227<![CDATA[A Novel Hybrid-Magnetic-Circuit Variable Flux Memory Machine]]>q-axis barriers are presented to elevate the LCF PM working point for preventing the on-load demagnetizing effect, while maintaining the torque capability. The electromagnetic characteristics of the HMC design are investigated and compared with the parallel/series counterparts. Finally, the experiments have been carried out to validate the finite-element analyses.]]>677525852685222<![CDATA[Performance Comparison Between PCB-Stator and Laminated-Core-Stator-Based Designs of Axial Flux Permanent Magnet Motors for High-Speed Low-Power Applications]]>677526952776289<![CDATA[Comparative Analysis of Flux Reversal Permanent Magnet Machines With Toroidal and Concentrated Windings]]>677527852905133<![CDATA[Induction Machine Parameters Determination and the Impact of Stator/Rotor Leakage Split Ratio on Its Performance]]>dq-model of the IM. Other machine parameters are determined by implementing the standard tests in FEM. To verify the effectiveness of the proposed method, the predicted results are compared to the dynamic responses obtained experimentally from a three-phase, 5-hp squirrel cage IM.]]>677529153015839<![CDATA[Harmonic Analysis of Air Gap Magnetic Field in Flux-Modulation Double-Stator Electrical-Excitation Synchronous Machine]]>677530253124217<![CDATA[A Neutral-Point Diode-Clamped Converter With Inherent Voltage-Boosting for a Four-Phase SRM Drive]]>677531353245439<![CDATA[Water Cold Plates for Efficient Cooling: Verified on a Permanent-Magnet Machine With Concentrated Winding]]>677532553366944<![CDATA[Design and Optimization of a Flux-Modulated Permanent Magnet Motor Based on an Airgap-Harmonic-Orientated Design Methodology]]>677533753485445<![CDATA[Computer Modeling of the Eddy Current Losses of Metal Fasteners in Rotor Slots of a Large Nuclear Steam Turbine Generator Based on Finite-Element Method and Deep Gaussian Process Regression]]>677534953592057<![CDATA[High-Speed Permanent Magnet Synchronous Motor Iron Loss Calculation Method Considering Multiphysics Factors]]>677536053682611<![CDATA[Analysis of PM Eddy Current Loss in Four-Phase Fault-Tolerant Flux-Switching Permanent-Magnet Machines by Air-Gap Magnetic Field Modulation Theory]]>677536953784266<![CDATA[Design of a LQR-Based Boost Converter Controller for Energy Savings]]>677537953884110<![CDATA[A New Coupled Inductor Nonisolated High Step-Up Quasi Z-Source DC–DC Converter]]>677538953972918<![CDATA[Asymmetric Cascaded H-Bridge Multilevel Inverter With Single DC Source per Phase]]>677539854097454<![CDATA[<inline-formula><tex-math notation="LaTeX">${mathsf Gamma}$</tex-math></inline-formula>-Source Magnetic Integrated Filter for Single-Phase Grid Tied Voltage Source Converters]]>${mathsf Gamma}$-source and Flipped-${mathsf Gamma}$-source with the advantage of better magnetic circuit utilization. Therefore, the number of required magnetic cores and the total size of inductive elements are reduced compared to the other high-order filters, such as the LCL and the LLCL. Also, the total windings copper weight as well as the windings currents and losses are lower. It will be shown that the required air gap for the magnetic core is very short, so the adverse effects of the electro-magnetic interference and the fringing flux are also prevented. Thus, the proposed filters require a small and simple magnetic element, which also works at a lower temperature. Moreover, the proposed filters offer a robust stability and a high filtering performance against a wide range of parameter mismatches. Based on the theoretical analysis and the comparative experimental tests on a grid tied converter, the advantages of the proposed filters are confirmed.]]>677541054204197<![CDATA[Switched-Capacitor Differential Boost Inverter: Design, Modeling, and Control]]>677542154315944<![CDATA[Analysis and Design of the <italic>LLC</italic> Resonant Converter With Variable Inductor Control Based on Time-Domain Analysis]]>LLC resonant converters commonly adopt frequency modulation (FM) or combination of FM with phase-shift modulation to regulate its output voltage. However, in these control schemes, a variable switching frequency range is required, which makes the magnetic components design complicated. Therefore, in this article, magnetic control (or variable inductor control) is adopted to make the converter operating at constant switching frequency and constant duty cycle. The fundamental harmonic analysis is commonly used because of its characteristic of simplicity. However, the accuracy of this method is reduced and considerable errors occur when the switching frequency or output power changes. Therefore, an optimal design methodology based on time-domain analysis of the LLC resonant converter with magnetic control is proposed in this article. The proposed methodology can assure that the converter will operate in PO or OPO modes within the whole operating range, and zero voltage switching operation for primary switches and zero current switching operation for secondary rectifier will be guaranteed. In addition, by limiting the resonant tank root-mean-square current, the system efficiency is improved. A 200-W experimental prototype is built and the effectiveness of the proposed optimal design methodology is verified.]]>677543254433499<![CDATA[Magnetically Coupled High-Voltage-Boost Split <italic>Y</italic>-Source Inverter Without Leakage-Induced Voltage Spikes]]>Y-source network, has been used for voltage boosting with a standard inverter bridge and no other active switches. However, its maximum modulation and boost duty ratios are correlated with an increase of one maximum necessitating the reduction of the other. Its voltage quality and dc-bus utilization will hence deteriorate greatly at high gain. Moreover, in the presence of nonnegligible leakage, the Y-source network experiences large voltage spikes caused by unintentionally abrupt inductive current changes. Its coupling coefficient must hence be very close to unity or a snubber and always be added. To overcome these limitations, a split-Y-source inverter has been proposed, whose maximum modulation and boost duty ratios can be increased simultaneously, while using only a single-inverter bridge. It is also not burdened by inrush currents and voltage spikes and hence does not impose strict requirements on coupling and snubber. These advantages are in addition to the increased freedom of tuning two turns ratios to keep the total number of turns small, while retaining a high-voltage boost. Theoretical analyses, simulations, and experimental results have successfully verified the performance of the proposed inverter.]]>677544454554139<![CDATA[Dual-Loop-Based Harmonic Current Control Strategy and Admittance Modeling for a Multimodular Parallel SAPFs System]]>677545654665382<![CDATA[Multiport Interline Current Flow Controller for Meshed HVDC Grids]]>$n$ lines with unidirectional current flows. The device is able to control the dc lines’ currents to the desired value by inserting variable voltage sources in series. First, the modeling of the generic $n$-port topology is presented and then, its modulation and control strategy are described. In the first case study, the concept is validated considering a 5-port CFC by means of dynamic simulations using different control methods. Finally, in the second case study, a 3-port CFC prototype is built and tested in an experimental platform in the laboratory considering different control modes.]]>677546754783909<![CDATA[A Hybrid Interleaved DC–DC Converter With a Wide Step-Up Regulation Range and Ultralow Voltage Stress]]>677547954894159<![CDATA[Impedance-Based Harmonic Current Suppression Method for VSG Connected to Distorted Grid]]>677549055026633<![CDATA[DC Fault Current Blocking With the Coordination of Half-Bridge MMC and the Hybrid DC Breaker]]>off. In addition, in the fault clearing state, the MMC is programmed to generate zero voltages at all arms. Using this mechanism, a second-order RLC circuit with zero input is formed, and the fault current is cleared in a very short time. A freewheeling path is provided to bypass the dc line when the equivalent inductance seen from the dc line is large. In contrast to conventional approaches, the peak of dc fault current is limited to a specific limit and the necessity to ultrafast mechanical switches is avoided. In addition, the amplitude of arms currents and corresponding insulated-gate bipolar transistors are kept in the safe operating area. A detailed circuit analysis of the new method is given and design formulas are extracted. Simulation results are provided in PSCAD/EMTDC environment, and experimental results are presented for a scaled-down prototype.]]>677550355147275<![CDATA[Characteristic Analysis and Risk Assessment for Voltage–Frequency Coupled Transient Instability of Large-Scale Grid-Connected Renewable Energy Plants During LVRT]]>677551555308284<![CDATA[Performance Improvement of the Unbalanced Voltage Compensation in Islanded Microgrid Based on Small-Signal Analysis]]>677553155426848<![CDATA[A Coupled Inductor-Based Buck–Boost Type Grid Connected Transformerless PV Inverter Having the Ability to Control Two Subarrays Simultaneously]]>677554355535096<![CDATA[An Active Islanding Detection Strategy With Zero Nondetection Zone for Operation in Single and Multiple Inverter Mode Using GPS Synchronized Pattern]]>d-axis component of voltage at the point of common coupling (PCC) and d-axis current injected into the PCC remains constant over a complete cycle of the injected pattern. The method offers zero nondetection zone (NDZ). This article presents a detailed model-based derivation of the approach to islanding detection. Parametric studies are discussed to illustrate the working of the proposed approach. The case of multiple inverters is then presented, where the use of GPS signals has been proposed for time synchronization of the injected pattern. Simulation studies are presented to clarify the working of the scheme, for a single inverter case and for two inverters connected to a common grid. Finally, the proposed approach is also demonstrated experimentally for single inverter and two inverters case, with GPS signals used for time synchronization.]]>677555455645077<![CDATA[Flexible 3-D Helix Fabrication by In-Situ SEM Micromanipulation System]]>$mu$m with the standard deviation (STD) of 1.06. This research will pave a new path for the high-precision 3-D manufacturing at small scale, and have long-term impacts on robot-aided manufacturing system with high potential for commercialization in the future.]]>677556555743264<![CDATA[Parameter Space Optimization Towards Constrained Controller Design With Application to Tray Indexing]]>$mathcal {H}_2$ guaranteed cost optimization problem is formulated. The system performance in terms of tracking accuracy and jerk minimization is quantified as the $mathcal {H}_2$-norm, and it aims to minimize the upper bound to the $mathcal {H}_2$-norm over the uncertain domain. However, due to structural constraints on the composite gain matrix as well as robustness requirement, the algebraic Riccati equations cannot be used. This article presents the theoretical results where all the stabilizing constrained gain matrices can be parameterized over an extended matrical set. Efficient numerical procedures are developed to obtain the $epsilon$-optimum with guaranteed robustness by linear programming and outer linearization in an iterative framework. Numerical optimization and experiments are conducted to validate the theoretical results and the practical appeal of the proposed approach.]]>677557555854818<![CDATA[Trajectory Generation of a Two-Wheeled Mobile Robot in an Uncertain Environment]]>677558655942019<![CDATA[Online Hysteresis Identification and Compensation for Piezoelectric Actuators]]>677559556032714<![CDATA[Decoupled Torque Control of Series Elastic Actuator With Adaptive Robust Compensation of Time-Varying Load-Side Dynamics]]>677560456145103<![CDATA[Correction of Winding Peak Temperature Detection in High-Frequency Automotive Electric Machines]]>677561556256702<![CDATA[Design of New Dual-Stator Field Modulation Machines]]>677562656365077<![CDATA[Tuning of Digital PID Controllers Using Particle Swarm Optimization Algorithm for a CAN-Based DC Motor Subject to Stochastic Delays]]>677563756461864<![CDATA[Finite-Time Continuous Terminal Sliding Mode Control of Servo Motor Systems]]>677564756561799<![CDATA[Analytic Modeling Optimal Control of Pulsed Power Supply for Accelerator Magnet]]>677565756656221<![CDATA[Predictive Control of IM Drive Acoustic Noise]]>677566656762229<![CDATA[Full-Order Observer for a Class of Nonlinear Systems With Unmatched Uncertainties: Joint Attractive Ellipsoid and Sliding Mode Concepts]]>677567756863238<![CDATA[Image Superresolution via Dense Discriminative Network]]>677568756954015<![CDATA[Effective Disturbance Compensation Method Under Control Saturation in Discrete-Time Sliding Mode Control]]>677569657072638<![CDATA[Electromagnetic Induced Failure in GaN-HEMT High-Frequency Power Amplifier]]>677570857165061<![CDATA[Adaptive Prognosis of Hybrid Dynamical System for Dynamic Degradation Patterns]]>677571757282747<![CDATA[Estimation of Contamination Level of Overhead Insulators Based on Surface Leakage Current Employing Detrended Fluctuation Analysis]]>677572957362377<![CDATA[Remaining Useful Life Estimation of Structure Systems Under the Influence of Multiple Causes: Subsea Pipelines as a Case Study]]>677573757472936<![CDATA[Fault Diagnosis in Microelectronics Attachment Via Deep Learning Analysis of 3-D Laser Scans]]>677574857575276<![CDATA[Development of a Three-Dimensional Magnetic Equivalent Circuit Model for Axial Flux Machines]]>677575857675326<![CDATA[Magnetic Sensor Design for a Permanent Magnet Linear Motor Considering Edge-Effect]]>677576857777670<![CDATA[Meta Learning for Task-Driven Video Summarization]]>677577857862249<![CDATA[Light Sensor Based Occupancy Estimation via Bayes Filter With Neural Networks]]>677578757972724<![CDATA[An Effective Optimization Algorithm for Application Mapping in Network-on-Chip Designs]]>$n$$ >$ 30) cannot be solved optimally by an exact algorithm in reasonable time, and the evolutionary algorithms have drawn the attention of NoC researchers. In this paper, we propose a new effective optimization method based on the discrete particle swarm optimization framework, which includes the novel principles for representation, velocity computing, and position-updating of the particles. In our proposed method, particles are allowed to swing between elite and regular pools, and a simple local search procedure is applied on elite particles to exploit the promising solutions. Extensive computational studies using standard benchmark instances and task graphs for free (TGFF) random instances reveal that the proposed optimization algorithm is able to attain the best results, and thus competes very favorably with the previously proposed heuristic approaches. A stability analysis and the two-sided Wilcoxon rank sum tests are also presented to shed light on the robust behavior of the algorithm.]]>677579858091849<![CDATA[Double-Thyristor-Based Protection for Valve-Side Single-Phase-to-Ground Faults in HB-MMC-Based Bipolar HVDC Systems]]>677581058152518<![CDATA[Novel Compensation Strategy for Calculation Delay of Finite Control Set Model Predictive Current Control in PMSM]]>677581658191092<![CDATA[Effective Hold-Up Time Extension Method Using Fan Control in Server Power Systems]]>off during the hold-up time with ac input loss. Due to the elimination of the fan power in the proposed method, the efficiency of the dc–dc converter increases during the hold-up time; thus, the energy stored in the link capacitor decreases less sharply, compared with the conventional method. That is, the hold-up time can be extended without additional devices, volume increase, and operational change of the dc–dc converter, maintaining high efficiency and high power density. The effectiveness of the proposed method is verified by a prototype with 90–264 V_{ac,rms} input, 800 W/12 V output specifications of the server power supply.]]>677582058242513<![CDATA[Guest Editorial: Position Sensorless AC Motor Drives]]>67758255829366<![CDATA[Position Sensorless Permanent Magnet Synchronous Machine Drives—A Review]]>677583058421737<![CDATA[Application of Sliding Switching Functions in Backstepping Based Speed Observer of Induction Machine]]>αβ) coordinate system. The stator voltage vector components are treated as known values. Additionally, such an observer structure is extended to the integrators. The observer stabilizing functions contain the appropriate sliding surfaces, which result from Lyapunov function. The rotor angular speed is obtained from nonadaptive dependence. Stability analysis of the observer structure based on Lyapunov theory is presented in order to guarantee the estimation errors decay to zero. In the sensorless control system, the classical sliding-mode controllers are applied with the multiscalar variables transformation. The theoretical derivations are verified in experimental waveforms.]]>677584358531857<![CDATA[Simple Stability Enhancement Method for Stator Current Error-Based MRAS-Type Speed Estimator for Induction Motor]]>CC that is analyzed in this article is created with a rotor flux simulator based on the stator current (first superscript C) and the stator current estimator (second superscript C), both adapted with the estimated rotor speed. As the original estimator is unstable in the regenerating mode, a simple stability extension solution is proposed based on the introduction of an auxiliary variable in the mathematical model of this estimator. The new adaptation rule is derived using the Lyapunov theory and stability range of a modified speed estimator is determined. This modification is compared with the existing solutions and analyzed in the simulation and experimental tests under motoring and regenerating modes of the drive system in open and closed–loop operation. It has been shown that the modified speed estimator with an additional variable adapted on-line is stable in the whole regenerating mode, contrary to the classical solution and does not require any modifications during the change from the regenerating to motoring mode and vice versa, as it is required in existing solutions.]]>677585458668931<![CDATA[A Novel Sliding Mode Observer With Optimized Constant Rate Reaching Law for Sensorless Control of Induction Motor]]>677586758785198<![CDATA[Alternative Solution Regarding Problems of Adaptive Observer Compensating Parameters Uncertainties for Sensorless Induction Motor Drives]]>677587958885656<![CDATA[Sensorless Rotor Position Estimation of Doubly Fed Induction Generator Based on Backstepping Technique]]>677588958993640<![CDATA[Dual Phase-Locked Loop-Based Speed Estimation Scheme for Sensorless Vector Control of Linear Induction Motor Drives]]>677590059126628<![CDATA[An Improved Delay-Suppressed Sliding-Mode Observer for Sensorless Vector-Controlled PMSM]]>677591359235526<![CDATA[Complex-Coefficient Adaptive Disturbance Observer for Position Estimation of IPMSMs With Robustness to DC Errors]]>677592459353136<![CDATA[Electromagnetic Torque-Based Model Reference Adaptive System Speed Estimator for Sensorless Surface Mount Permanent Magnet Synchronous Motor Drive]]>677593659477134<![CDATA[A Third-Order Super-Twisting Extended State Observer for Dynamic Performance Enhancement of Sensorless IPMSM Drives]]>677594859584866<![CDATA[A Robust Observer and Nonorthogonal PLL-Based Sensorless Control for Fault-Tolerant Permanent Magnet Motor With Guaranteed Postfault Performance]]>6775959597061654<![CDATA[Sensorless Control of Linear Flux-Switching Permanent Magnet Motor Based on Extended Kalman Filter]]>677597159794611<![CDATA[ILC-Based Voltage Compensation Method for PMSM Sensorless Control Considering Inverter Nonlinearity and Sampling Current DC Bias]]>677598059896499<![CDATA[PLL Position and Speed Observer With Integrated Current Observer for Sensorless PMSM Drives]]>677599059993989<![CDATA[High-Performance Selective and Output Filter Techniques for Sensorless Direct Position and Speed Estimation]]>$< $1% absolute mean position and speed estimation error. Hence, they perform one to two orders of magnitude better than traditional estimation schemes, which typically achieve $< $100 Hz bandwidth at similar errors.]]>677600060094674<![CDATA[Sensorless Low/Zero Speed Estimation for Permanent Magnet Synchronous Machine Using a Search-Based Real-Time Commissioning Method]]>677601060185027<![CDATA[IPMSM Sensorless Control Using High-Frequency Voltage Injection Method With Random Switching Frequency for Audible Noise Improvement]]>677601960304222<![CDATA[Sensorless Control of Planar Switched Reluctance Motors Based on Voltage Injection Combined With Core-Loss Calculation]]>677603160426698<![CDATA[Design of a New Fault-Tolerant Permanent Magnet Machine With Optimized Salient Ratio and Reluctance Torque Ratio]]>677604360549600<![CDATA[Design and Analysis of New Five-Phase Flux-Intensifying Fault-Tolerant Interior-Permanent-Magnet Motor for Sensorless Operation]]>L_{d} > L_{q}, which can contribute the sensorless operation significantly. By integrating the special design of the stator tooth, using the masterly permanent-magnet (PM) placement and increasing the length of air gap in the q-axis, the high fault tolerance and high reliability can be obtained, which is essential for EV applications. The static performances of the proposed motor are investigated by using finite-element analysis. And the corresponding sensorless operation experiments are implemented based on the prototyped motor. Both theoretical analysis and the experimental results verify the validity of the proposed five-phase FIFT- IPM motor design.]]>677605560655530<![CDATA[An Assistant-Mover-Based Position Estimation Method for Planar Switched Reluctance Motors]]>677606660776009<![CDATA[Sensorless Closed-Loop Voltage and Frequency Control of Stand-Alone DFIGs Introducing Direct Flux-Vector Control]]>677607860885267<![CDATA[Speed Sensorless Control for Permanent Magnet Synchronous Motors Based on Finite Position Set]]>d-axis. The optimal rotor position angle is the one that yields a back EMF minimizing the defined cost function. With the increase of the iterations, the accuracy of rotor position angle increases geometrically. To effectively extract the back EMF signal under the low-speed condition, the high-frequency signal injection method is used to realize the low-speed operation of the motor. A hybrid control strategy is adopted to achieve the smooth switching from the low-speed to high-speed. The performance of the proposed method has been validated experimentally and compared with that of the conventional phase locked loop under different conditions.]]>677608961004779<![CDATA[Detrimental Effect Elimination of Current Sensor Accuracy Uncertainty for High-Precision Position Sensorless Control of Interior Permanent Magnet Synchronous Motor Drives]]>677610161113474<![CDATA[Fault Detection and Identification Scheme for Dual-Inverter Fed OEWIM Drive]]>off one switch in the healthy pair continuously. Through properly controlling the duty ratios of the other switches in this bridge, the faulty switch is allowed to be further identified from the faulty pair by analyzing the behavior of the induced current in this phase. This approach is independent of either the speed or the voltage information. The effectiveness is validated through experiments on a sensorless controlled open-end winding induction motor drive.]]>677611261234979<![CDATA[Fast Restarting of Free-Running Induction Motors Under Speed-Sensorless Vector Control]]>677612461343806<![CDATA[Rotor Position Estimation Method for Brushless Synchronous Machine Based on Second-Order Generated Integrator in the Starting Mode]]>677613561463814<![CDATA[Sensorless Optimal Commutation Steady Speed Control Method for a Nonideal Back-EMF BLDC Motor Drive System Including Buck Converter]]>677614761574340<![CDATA[Sensorless Commutation Deviation Correction of Brushless DC Motor With Three-Phase Asymmetric Back-EMF]]>677615861674359<![CDATA[Connect. Support. Inspire.]]>677616861681683<![CDATA[IEEE Industrial Electronics Society]]>677C3C351<![CDATA[Information for Authors]]>677C4C459