<![CDATA[ IEEE Transactions on Industrial Electronics - new TOC ]]>
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TOC Alert for Publication# 41 2021January 21<![CDATA[Table of Contents]]>684C12739240<![CDATA[IEEE Industrial Electronics Society]]>684C2C2123<![CDATA[A Multicell Network Control and Design for Three-Phase Grid-Connected Inverter]]>LCL filter is commonly controlled in synchronous frame in order to independently control active power and reactive power. And proportional-integral controller is usually adopted in synchronous frame to achieve zero steady error of inverter fundamental current. However, d–q axes cross-coupling issue may deteriorate the dynamic and steady-state performance. Moreover, the weak damping characteristic of the LCL filter will lead to resonance issue. Both issues are analyzed by the established complex-vector model of the inverter in this article. A novel multicell network control structure is proposed to address both coupling and resonance problems. To design all parameters of the multicell network controller, a multiple parameter design method is proposed. Moreover, this design method can adapt to weak grid well. Based on the proposed control structure and design method, d–q axes cross-coupling issue can be addressed thoroughly, and the damping performance is also improved obviously. Besides, the excellent steady-state and dynamic performances are realized simultaneously. Finally, the superior performances of the proposed control are verified by simulation and experimental results.]]>684274027495089<![CDATA[A Single DC Source-Based Three-Level Inverter Topology for a Four-Pole Open-End Winding Nine-Phase PPMIM Drives]]>684275027597648<![CDATA[A Centralized CB-MPC to Suppress Low-Frequency ZSCC in Modular Parallel Converters]]>684276027719565<![CDATA[Optimal Third-Harmonic Current Injection for Asymmetrical Multiphase Permanent Magnet Synchronous Machines]]>684277227834400<![CDATA[An Improved Fault-Tolerant Control Scheme for Cascaded H-Bridge STATCOM With Higher Attainable Balanced Line-to-Line Voltages]]>684278427978534<![CDATA[Circulating Current Optimization Control of MMC]]>684279828115187<![CDATA[Current-Modulation-Based On-Line Resonance Tuning Strategy for Linear Generator Drives]]>d-axis). The averaged product of modulated air-gap power and modulation signal is fed into a controller to adjust the d-axis current and restore resonance. The use of air-gap power instead of dc power improves resonance tracking accuracy and eliminates steady-state low-frequency stroke oscillations. This article presents a full theoretical analysis providing accurate steady-state and small-signal models for control synthesis. The broad experimental validation included in the article proves that the control is able to restore resonance even when the force-source introduces significant additional mechanical impedance.]]>684281228227238<![CDATA[Dynamic Performance Improvement for Permanent Magnet Generator System Using Current Compensating Method With Two-Degrees-of-Freedom Control]]>684282328335115<![CDATA[Integration of Battery Charging Process for EVs Into Segmented Three-Phase Motor Drive With V2G-Mode Capability]]>684283428445494<![CDATA[Modulation Method for Nine-Switch Converter Based on Equivalent Mechanism Between Nine-Switch Converter and Dual Six-Switch Converters]]>684284528554766<![CDATA[General Formulation of Kalman-Filter-Based Online Parameter Identification Methods for VSI-Fed PMSM]]>$text{20};text{kHz}$ is demonstrated via experiments.]]>684285628642398<![CDATA[Estimation Procedure Based on Less Filtering and Robust Tracking for a Self-Sensing Control of IPMSM]]>684286528753322<![CDATA[Design and Analysis of Oil-Immersed Cooling Stator With Nonoverlapping Concentrated Winding for High-Power Ironless Stator Axial-Flux Permanent Magnet Machines]]>684287628865082<![CDATA[Analysis and Design of a PM-Assisted Wound Rotor Synchronous Machine With Reluctance Torque Enhancement]]>q-axis flux while keeping the d-axis flux unchanged as much as possible, for enhancing reluctance torque and power factor. Meanwhile, the assisting ferrite magnet makes an asymmetrical magnetic flux distribution to close the current phase angles between the maximum of the field torque and the reluctance torque. Moreover, the related parameters of the assisting ferrite magnet in the proposed structure were determined by optimal techniques using the Kriging method and genetic algorithm. In addition, the potential for demagnetization of the assisting magnet was analyzed and the results verified that this would not affect the motor output performance. Finally, prototypes are manufactured for the experiments to verify the principle analysis and finite element analysis results.]]>684288728975258<![CDATA[Phase Reconfiguring Technique for Enhancing the Modulation Index of Multilevel Inverter Fed Nine-Phase IM Drive]]>684289829066444<![CDATA[No-Load Performance Analysis of an Asymmetric-Pole Single-Phase Doubly Salient Permanent Magnet Machine]]>684290729186497<![CDATA[Thermal Model Approach to Multisector Three-Phase Electrical Machines]]>684291929304868<![CDATA[Iron Loss Modeling in Dual Stator Winding Induction Machines With Unequal Pole Pairs and Squirrel Cage Rotor]]>dq0 form of the proposed model is derived in an arbitrary reference frame. In addition, based on this model the iron loss estimation in DSWIMs is presented. The proposed model is simulated in MATLAB/Simulink based on the parameters obtained from IEEE standard characterization tests performed on a 3.3-kW DSWIM and also some experimental tests are executed via a digital signal processor (DSP)-based DSWIM drive system. Comparison of the simulation and experimental results confirms the validity of the proposed model both in steady-state and transient conditions. Moreover, this comparison clarifies that the proposed iron loss estimation method can account for the iron loss with high accuracy.]]>684293129412762<![CDATA[Self-Calibration of Phase Current Sensors With Sampling Errors by Multipoint Sampling of Current Values in a Single PWM Cycle]]>684294229514613<![CDATA[Online Fault Diagnosis for Rotating Rectifier in Wound-Rotor Synchronous Starter–Generator Based on Geometric Features of Current Trajectory]]>684295229635185<![CDATA[A Novel Sensorless Initial Position Estimation and Startup Method]]>684296429754217<![CDATA[Model Predictive Direct Duty-Cycle Control for PMSM Drive Systems With Variable Control Set]]>684297629875749<![CDATA[Effect of Phase Shift Angle on Radial Force and Vibration Behavior in Dual Three-Phase PMSM]]>684298829984326<![CDATA[Analysis of a Spoke-Array Brushless Dual-Electrical-Port Dual-Mechanical-Port Machine With Reluctance Rotor]]>684299930116177<![CDATA[A Soft-Switching Current-Source-Inverter-Fed Motor Drive With Reduced Common-Mode Voltage]]>684301230214223<![CDATA[A Brushless Dual-Electrical-Port Dual-Mechanical-Port Machine With Integrated Winding Configuration]]>684302230323808<![CDATA[Fatigue Mechanism of Die-Attach Joints in IGBTs Under Low-Amplitude Temperature Swings Based on 3D Electro-Thermal-Mechanical FE Simulations]]>684303330436685<![CDATA[Switching-Based Optimized Sliding-Mode Control for Capacitor Self-Voltage Balancing Operation of Seven-Level PUC Inverter]]>684304430578262<![CDATA[Low-Frequency DC-Link Capacitor Current Mitigation in Reduced Switch Count Single-Phase to Three-Phase Converter]]>$%$ and the temperature rise in the dc-bus electrolytic capacitors is reduced by more than 30$%$. The proposed method is validated experimentally using a laboratory prototype APC. Theoretical and simulation results of the dc-link double-frequency current are in close agreement with the experimental findings.]]>684305830682094<![CDATA[A Double-Side Self-Tuning <italic>LCC</italic>/S System Using a Variable Switched Capacitor Based on Parameter Recognition]]>LCC/S system using a variable switched capacitor based on parameter recognition is proposed in this article. The main innovation is that the parameter recognition method is able to recognize both mutual inductance and double-side self-inductance with only rms value of sampling signal, phase information and auxiliary circuit being needless. Besides, based on the result of parameter recognition, the double-side use of variable switched capacitors and corresponding control strategy allow the proposed system to operate in a large-scale coupling space and help to improve system efficiency. Experiment results show parameters recognizing error less than 5%. A contrastive simulation verifies that variable switched capacitor can be equivalent to discrete capacitor with the same branch current in the proposed system. System feasibility is testified by a 700-W prototype and the effectiveness of the proposed system is demonstrated by a contrastive experiment with and without pulsewidth modulation (PWM) tuning, efficiency from dc to dc will increase about 3% with PWM tuning.]]>684306930787374<![CDATA[Stability Analysis of Voltage Controlled Buck Converter Feed From a Periodic Input]]>684307930894675<![CDATA[Noniterative Design of Litz-Wire High-Frequency Gapped-Transformer (Lw-HFGT) for LLC Converters Based on Optimal Core-Geometry Factor Model (OKGM)]]>$(B_{{rm{pk}}})$, current density, core-material parameters, air-gap, effective permeability, and Litz-wire-sizing (LwS)] in the CWS process. Analytical models with improved accuracy for core geometrical features extraction from core-geometry factor, optimal-$B_{{rm{pk}}}$, and LwS are also proposed. The complete methodology is improved based on proposed models, optimality criteria, application requirements, and energy storage inside gapped transformer. Optimal values of initial setup parameters, calculated using optimal-$B_{{rm{pk}}}$, enable OKGM to carryout optimal CWS in single iteration. The methodology is experimentally validated by designing Lw-HFGT for the 110-kHz, 200-W, 400–12 VDC LLC converter. The PC40-material-based Lw-HFGT design achieves up to 67% r-
duction in volume-loss product, in comparison to various existing methods with the same input.]]>684309031025738<![CDATA[A Single-Stage Low-Power AC–DC RGB-LED Driver With Switching Capacitor Control Scheme]]>μs, which is at least three orders faster than the previous work. The peak efficiency of the proposed LED driver is up to 88.6%.]]>684310331125051<![CDATA[A Multiport Converter Interfacing Solar Photovoltaic Modules and Energy Storage With DC Microgrid]]>684311331233375<![CDATA[Short-Term Self-Scheduling of Virtual Energy Hub Plant Within Thermal Energy Market]]>684312431363840<![CDATA[Robust Control Strategies for SyRG-PV and Wind-Based Islanded Microgrid]]>684313731475811<![CDATA[Control for Power Converter of Small-Scale Switched Reluctance Wind Power Generator]]>684314831585786<![CDATA[Reversible Wideband Hybrid Model of Two-Winding Transformer Including the Core Nonlinearity and EMTP Implementation]]>684315931692203<![CDATA[A Data-Driven Approach With Uncertainty Quantification for Predicting Future Capacities and Remaining Useful Life of Lithium-ion Battery]]>684317031802484<![CDATA[Linear Feedback Dead-Beat Control for Modular Multilevel Converters: Validation Under Faults Grid Operation Mode]]>684318131912068<![CDATA[Batteryless Tire Pressure Real-Time Monitoring System Driven by an Ultralow Frequency Piezoelectric Rotational Energy Harvester]]>684319232013013<![CDATA[Effect of Communication Delay on Consensus-Based Secondary Controllers in DC Microgrid]]>684320232123500<![CDATA[Nonlinear Model Predictive Control for the Energy Management of Fuel Cell Hybrid Electric Vehicles in Real Time]]>684321332233167<![CDATA[Impedance Analysis and Stabilization of Point-to-Point HVDC Systems Based on a Hybrid AC–DC Impedance Model]]>684322432385052<![CDATA[Decoupling Control for DC Electric Spring-Based Unbalanced Voltage Suppression in a Bipolar DC Distribution System]]>684323932503823<![CDATA[Deep Neural Learning Based Distributed Predictive Control for Offshore Wind Farm Using High-Fidelity LES Data]]>684325132612074<![CDATA[Circuit Modeling of the Mechanical-Motion Rectifier for Electrical Simulation of Ocean Wave Power Takeoff]]>684326232723873<![CDATA[A Wireless Rectifier for Inductively Energizing High Direct-Current High-Temperature Superconducting Magnets]]>684327332812584<![CDATA[Simulation Credibility Assessment Methodology With FPGA-based Hardware-in-the-Loop Platform]]>684328232912835<![CDATA[An Efficient RRT-Based Framework for Planning Short and Smooth Wheeled Robot Motion Under Kinodynamic Constraints]]>684329233022597<![CDATA[CoboSkin: Soft Robot Skin With Variable Stiffness for Safer Human–Robot Collaboration]]>684330333148734<![CDATA[Linear Modeling and Control of Comb-Actuated Resonant MEMS Mirror With Nonlinear Dynamics]]>684331533232558<![CDATA[Pose Sensing and Servo Control of the Compliant Nanopositioners Based on Microscopic Vision]]>$x$, $y$, $theta$) CNPs at a frame rate of hundred hertz, and the dynamic tracking errors are smaller than 100 nm, 160 nm, and 40 $mu {text{rad}}$ in the $x$-, $y$-, and $theta$-axes, respectively. Moreover, by using the proposed VSPS, task-based nanopositioning can be easily realized without extracting features of the object, and the obtained stable positioning accuracies are better than 30 nm, 33 nm, and 3 $mu {text{rad}}$ in the $x$-, $y$-, and $theta$-axes, respectively.]]>684332433354543<![CDATA[Research on Selection Criterion of Design Tolerance for Air-Core Permanent Magnet Synchronous Linear Motor]]>684333633475763<![CDATA[Modeling and Control of Piezoelectric Hysteresis: A Polynomial-Based Fractional Order Disturbance Compensation Approach]]>684334833584055<![CDATA[On Convergence Performance of Discrete-Time Optimal Control Based Tracking Differentiator]]>684335933693692<![CDATA[Field-Programmable System-on-Chip-Based Control System for Real-Time Distortion Correction in Optical Imaging]]>684337033792550<![CDATA[Robust Model-Predictive Control for Inductively Coupled Plasma Generation With a Semiphysical Simulation]]>684338033892871<![CDATA[Robust Multilayer Model Predictive Control for a Cascaded Full-Bridge NPC Class-D Amplifier With Low Complexity]]>684339034014263<![CDATA[Event-Triggered Dynamic Surface Control of an Underactuated Autonomous Surface Vehicle for Target Enclosing]]>684340234121265<![CDATA[Robust Indoor Speaker Localization in the Circular Harmonic Domain]]>684341334221899<![CDATA[Analytical Solution for Nonlinear Three-Dimensional Guidance With Impact Angle and Field-of-View Constraints]]>684342334333045<![CDATA[Velocity Control for Sideband Harmonics Compensation in Permanent Magnet Synchronous Motors With Low Switching Frequency Inverter]]>684343434443347<![CDATA[Attention Recurrent Neural Network-Based Severity Estimation Method for Interturn Short-Circuit Fault in Permanent Magnet Synchronous Machines]]>684344534532082<![CDATA[Domain Knowledge-Based Deep-Broad Learning Framework for Fault Diagnosis]]>bridge label-based strategy is designed, which is a key connection that can integrate domain knowledge into the learning process. The performance of a DK-DBLF is tested on motor-bearing and pipeline defect datasets, which are health condition classification and homologous multitask estimation problems, respectively. The results have demonstrated that our framework can significantly reduce the usage of labeled samples in the learning process, and architecture adjustment can be easily performed when compared with traditional deep methods.]]>684345434642915<![CDATA[Cluster-Based Vibration Analysis of Structures With GSP]]>684346534741964<![CDATA[Reliable Detection of Stator Interturn Faults of Very Low Severity Level in Induction Motors]]>684347534844798<![CDATA[A Novel Prognostics Approach Using Shifting Kernel Particle Filter of Li-Ion Batteries Under State Changes]]>684348534933913<![CDATA[Lateral and Torsional Vibration Monitoring of Multistack Rotor Induction Motors]]>dq model for each section is sufficient to describe the motor behavior during torsional oscillation. Similarly, for the lateral vibration, the mechanical system is modeled in all lateral directions and all modes. Due to the loss of symmetry, the abc model is used for each rotor and stator. In this modeling approach, all inductances (self and mutual of stator and rotor and the mutual inductances between the stator and rotor) are needed. To mimic the effect of lateral vibrations on the motor inductances, a new approach is developed using winding function theory. In this model, all inductances are formulated as a function of eccentricity severity and angle, and a new analytical IM model is developed to show the effects of lateral vibration. Finally, the experimental results are presented and compared with the analytical results.]]>684349435053687<![CDATA[FFCNN: A Deep Neural Network for Surface Defect Detection of Magnetic Tile]]>684350635163706<![CDATA[Fixed-Frequency Low-Loss Dielectric Material Sensing Transmitter]]>on–off keying modulation as an evaluation, and the measured results with some known samples are presented. Since the proposed technique is implemented by utilizing the building blocks of a conventional transmitter, the power consumption and cost of the system are kept intact.]]>684351735264309<![CDATA[A Magnetoelectric Compass for In-Plane AC Magnetic Field Detection]]>d_{33} piezoelectric coefficient is dominant to the ME effect of the compass, with an ME coefficient of 0.7302 V/cm Oe at resonance. The proposed device presents excellent performance for detecting in-plane ac magnetic field with arbitrary direction, where the sensitivities for intensity and angle are 0.01 Oe and ±0.2°, respectively. Additionally, the barbell-shaped structure brings advantages, such as simple construction, stable performance, and durability, indicating promising applications in angular sensors and compasses.]]>684352735363720<![CDATA[Novel Multistate Fault Diagnosis and Location Method for Key Components of High-Speed Trains]]>684353735477446<![CDATA[Design and Realization of a Compact High-Precision Capacitive Absolute Angular Position Sensor Based on Time Grating]]>684354835573936<![CDATA[A 65 nm CMOS Statistical Frequency Ratio Calculator for Frequency Measurement]]>684355835663153<![CDATA[An SoC-FPGA-Based Iterative-Closest-Point Accelerator Enabling Faster Picking Robots]]>k-nearest neighbor (NN) search and four-core CPU. To accelerate the ICP, both algorithm-level and hardware-level techniques have been proposed and developed. The former is a hierarchical-graph-based k-NN search enabling simultaneous acquisition of plural neighboring points. The latter is a sorting-network-based circuit implemented on an system on a chip (SoC)-FPGA. In addition, dynamic structural reconfiguration between the two key functionalities (graph generation and nearest neighbor search) is explored by utilizing the partial reconfiguration capability of FPGA to save the required hardware resource. Experiments of the proposed FPGA-based ICP accelerator using Amazon Picking Challenge data sets have confirmed that the object-pose estimation by ICP takes only 0.72 s at the power consumption of 4.2 W.]]>684356735765954<![CDATA[DeepSLAM: A Robust Monocular SLAM System With Unsupervised Deep Learning]]>684357735874684<![CDATA[Few-Shot Learning for Domain-Specific Fine-Grained Image Classification]]>miniPPlankton from the real-world application in the area of marine ecological environments. Extensive experiments are carried out to validate the performance of our method. The results demonstrate that our model achieves competitive performance compared with state-of-the-art models. Our work is a valuable complement to the model domain-specific industrial applications.]]>684358835984674<![CDATA[Self-Learning Optimal Control for Ice-Storage Air Conditioning Systems via Data-Based Adaptive Dynamic Programming]]>684359936081313<![CDATA[An Intelligent Non-Integer PID Controller-Based Deep Reinforcement Learning: Implementation and Experimental Results]]>684360936187298<![CDATA[Covert Communication Over VoIP Streaming Media With Dynamic Key Distribution and Authentication]]>684361936281404<![CDATA[TTH-RNN: Tensor-Train Hierarchical Recurrent Neural Network for Video Summarization]]>684362936371792<![CDATA[A Multicarrier-PWM Scheme Along With a Reconfigurable Buck Converter Imitating Multiple Times Higher Switching Frequency]]>684363836421973<![CDATA[Further Results on “Design Guidelines to Avoid Bifurcation in a Series–Series Compensated IPTS”: Theoretical Analysis and Experimental Validations]]>684364336481408<![CDATA[IEEE Industrial Electronics Society]]>684C3C338<![CDATA[Information for Authors]]>684C4C433