<![CDATA[ IEEE Transactions on Industrial Electronics - new TOC ]]>
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TOC Alert for Publication# 41 2018March 19<![CDATA[Table of contents]]>657C15223134<![CDATA[IEEE Transactions on Industrial Electronics publication information]]>657C2C2186<![CDATA[Fault Detection Methods for Three-Level NPC Inverter Based on DC-Bus Electromagnetic Signatures]]>657522452362730<![CDATA[Electronic Tap Changer for Very High-Power Medium-Voltage Lines With No Series–Parallel Thyristors]]>657523752494475<![CDATA[PWM Common Mode Reference Generation for Maximizing the Linear Modulation Region of CHB Converters in Islanded Microgrids]]>657525052595421<![CDATA[Application of Third-Order Harmonic Voltage Injection in a Modular Multilevel Converter]]>657526052713369<![CDATA[Performance Comparison of Variable-Angle Phase-Shifting Carrier PWM Techniques]]>657527252811587<![CDATA[An Advanced Modulation Strategy for Three-to-Five-Phase Indirect Matrix Converters to Reduce Common-Mode Voltage With Enhanced Output Performance]]>657528252912873<![CDATA[Unified Modeling Technique for Axially Uniform and Nonuniform Eccentricity Faults in Three-Phase Squirrel Cage Induction Motors]]>65752925301936<![CDATA[Multidomain Optimization of High-Power-Density PM Electrical Machines for System Architecture Selection]]>657530253121283<![CDATA[Modular Transformer-Based Regenerative-Cascaded Multicell Converter for Drives With Multilevel Voltage Operation at Both Input and Output Sides]]>d–q frame, which requires only two current sensors at the input side instead of individual current sensors for each cell. Experimental validation of the proposed converter configuration is carried out on a 4.5-kVA prototype, and the results are presented.]]>657531353234559<![CDATA[Robust Fault-Tolerant Predictive Current Control for Permanent Magnet Synchronous Motors Considering Demagnetization Fault]]>657532453344085<![CDATA[Improved Saliency-Based Position Sensorless Control of Interior Permanent-Magnet Synchronous Machines With Single DC-Link Current Sensor Using Current Prediction Method]]>dq-axis currents with the same sampling point as a full current sensor drive. Several experimental results are provided to verify the analysis of the reconstruction error and the proposed method's improved sensorless control performances.]]>657533553431204<![CDATA[Bus-Clamping-Based Direct Torque Control Strategy Dedicated to B6-Inverter Fed Symmetrical Two-Phase IM Drive]]>Takahashi one, is also considered. A simulation-based comparison of selected steady-state features is carried out. Then, a validation of the simulation results allied to an extension of the investigation is experimentally treated. The comparison is achieved by an investigation of the drive dynamic behavior under step- and ramp-shaped reversals of the reference speed. It is shown that the BC-DTC enables reductions of the switching frequency and of the torque ripple.]]>657534453521837<![CDATA[Multimode Optimization Design Methodology for a Flux-Controllable Stator Permanent Magnet Memory Motor Considering Driving Cycles]]>657535353663635<![CDATA[Discrete-Time Adaptive Controller for Unfixed and Unknown Control Direction]]>657536753751355<![CDATA[Loss Analysis and Efficiency Improvement of an Axial-Flux PM Amorphous Magnetic Material Machine]]>657537653831100<![CDATA[A Fast Identification Method for Rotor Flux Density Harmonics and Resulting Rotor Iron Losses of Inverter-Fed Induction Motors]]>657538453942140<![CDATA[Radial Force Control of Multisector Permanent-Magnet Machines for Vibration Suppression]]>d–q axis current references. The predicted performances of the considered machine are benchmarked against finite-element analysis. The experimental validation of the proposed control strategy is presented, focusing on the suppression of selected vibration frequencies for different rotational speeds.]]>657539554051592<![CDATA[Study on the Influence of Different Rotor Structures on the Axial-Radial Flux Type Synchronous Machine]]>657540654131874<![CDATA[Optimal Feedback Linearization Control of Interior PM Synchronous Motors Subject to Time-Varying Operation Conditions Minimizing Power Loss]]>dq axes phase voltages and two auxiliary control inputs over full ranges of torque and speed is established by the linearization controller using the notion of orthogonal projection. The auxiliary control inputs are defined to be exclusively responsible for torque generation and power consumption. Subsequently, an analytical solution for the optimal-linearization control is derived in a closed form by applying the Hamiltonian of optimal control theory in conjunction with the Pontryagin's minimum principle. The optimal controller takes the maximum voltage limit and torque tracking constraint into account while maximizing machine efficiency for nonconstant operational load torque and speed. Unlike the convectional quadratic regulator-based control of electric motors, the proposed control approach does not rely on steady-state operation conditions and hence, it is suitable for such applications as electric vehicles and robotics. Experimental results demonstrate torque-tracking and energy-efficiency performance of a motor operating with nonconstant torque.]]>657541454211022<![CDATA[Emerging Multiport Electrical Machines and Systems: Past Developments, Current Challenges, and Future Prospects]]>657542254354269<![CDATA[Single-Switch Single Power-Conversion PFC Converter Using Regenerative Snubber]]>$^text{3}$ PC) power factor correction (PFC) converter. Using the series-resonant circuit, the S $^text{3}$PC converter provides bidirectional core excitation for the transformer and obtains higher power capability compared with the conventional single-switch PFC converters. Also, the series-resonant circuit provides zero-current switching turn-off for the output diodes, so that the reverse-recovery loss is alleviated. The regenerative snubber not only avoids the voltage spike of the switch but also recycles the absorbed energy. Because these features are obtained with only a single switch and through single power-conversion, the S$^text{3}$PC converter has high efficiency and simple structure. The control algorithm derived from feedback linearization enables the S$^text{3}$PC converter to obtain good controllability. Also, by using this control algorithm, the proposed converter performs both PFC control and output power control through single power-conversion. With these advantages, the S $^text{3}$PC converter provides maximum efficiency of 96.4% and high power factor in excess of 0.994. The proposed converter is theoretically analyzed in detail, and experimental results are applied to a 1-kW prototype to show its validity.]]>657543654444056<![CDATA[Effect of Circuit Parameters on the Stability and Boundaries of Peak Current Mode Single-Inductor Dual-Output Buck Converters]]>657544554551951<![CDATA[A Novel Interleaved Tri-State Boost Converter With Lower Ripple and Improved Dynamic Response]]>657545654651678<![CDATA[Multistage and Multilevel Power Electronic Converter-Based Power Supply for Plasma DBD Devices]]>$H$ -bridge (CHB) multilevel dc–ac converter. The switching signals for the CHB dc–ac converter are generated to facilitate the adjustments of the magnitude and/or frequency of the output voltage. Such adjustments are set to allow manipulating the generated plasma body force. A prototype for the multistage multilevel power supply is constructed for performance evaluation using a fiberglass DBD device. Performance results show an effective generation and control of plasma body force, which can be achieved by a modular, lightweight, and compact size power supply.]]>657546654751093<![CDATA[High-Efficiency Resonant LED Backlight Driver With Passive Current Balancing and Dimming]]>657547654862152<![CDATA[A Low-Cost Voltage Equalizer Based on Wireless Power Transfer and a Voltage Multiplier]]>657548754961495<![CDATA[Optimization of the Passive Components for an S-LCC Topology-Based WPT System for Charging Massive Electric Bicycles]]>LCC topology to decrease the cost of the overall system. With the novel method, the number of passive components can be optimized to the minimum and still with constant current and constant voltage outputs. A novel compensation method with an inductor array is also proposed to guarantee an inductive input impedance of WPTS, achieving soft switching and reducing the high switching losses of the high-frequency inverter (HFI). To demonstrate the validity of the proposed methods, an experimental setup is built. The performance of two WPTS indicates that massive EBs can be charged with only one HFI, and the cost of the overall system decreases accordingly.]]>657549755081507<![CDATA[Analysis of Strategy for Achieving Zero-Current Switching in Full-Bridge Converters]]>657550955171439<![CDATA[Three-Port Bridgeless PFC-Based Quasi Single-Stage Single-Phase AC–DC Converters for Wide Voltage Range Applications]]>657551855282489<![CDATA[A New Interleaved Coupled-Inductor Nonisolated Soft-Switching Bidirectional DC–DC Converter With High Voltage Gain Ratio]]>657552955381343<![CDATA[Industrial Approach to Design a 2-kVa Inverter for Google Little Box Challenge]]>3) single-phase inverter with power output of 2 kVA that was presented for Google Little Box challenge. Multiple technical challenges were addressed, different methodologies described to achieve high power density and high efficiency reliable design. High power density was achieved by using the combination of optimized forced air cooled heatsinks, fully digital control, optimized component packaging, and by the introduction of a series active filter that enabled to reduce the size of dc bus capacitors. Low-loss high flux density magnetic materials such as Amoflux powder iron for power inductors and nanocrystalline magnetic materials for electromagnetic interference filter were also used. To minimize inverter switching losses, SiC devices operating at low switching frequency were adopted. Also, an innovative ground current control strategy is devised to minimize the ground leakage currents.]]>657553955491811<![CDATA[Sliding-Mode Observer Based Voltage-Sensorless Model Predictive Power Control of PWM Rectifier Under Unbalanced Grid Conditions]]>657555055602413<![CDATA[A Buck and Boost Based Grid Connected PV Inverter Maximizing Power Yield From Two PV Arrays in Mismatched Environmental Conditions]]>657556155712370<![CDATA[High Step-Up DC–DC Converter Based on Switched Capacitor and Coupled Inductor]]>657557255791357<![CDATA[Transformer-Free, Off-the-Shelf Electrical Interface for Low-Voltage DC Energy Harvesting]]>657558055891117<![CDATA[Design and Implementation of Active Power Control With Improved P&O Method for Wind-PV-Battery-Based Standalone Generation System]]>657559056006800<![CDATA[Decentralized Coordination Control of Multiple Photovoltaic Sources for DC Bus Voltage Regulating and Power Sharing]]>$V$ –$I$ droop concept to cooperate multiple PV sources in a dc microgrid. The proposed method enables PV sources to regulate the dc bus voltage and share their output power in an expected proportion. Furthermore, the maximum power point tracking (MPPT) function is unified in the suggested control method with a $dp/dv$ regulator, which means multiple PV sources can work in the MPPT mode when they are grid-connected or shift with load demands in an coordinated way while keeping the dc bus voltage without switching the control configuration. Hardware-in-loop tests for different scenarios are conducted to validate the feasibility and effectiveness of the proposed control strategy.]]>657560156101651<![CDATA[Distributed Cooperative Control and Stability Analysis of Multiple DC Electric Springs in a DC Microgrid]]>657561156221580<![CDATA[An Enhanced Control Strategy for Multiparalleled Grid-Connected Single-Phase Converters With Load Harmonic Current Compensation Capability]]>657562356331862<![CDATA[Remaining Useful Life Prediction and State of Health Diagnosis for Lithium-Ion Batteries Using Particle Filter and Support Vector Regression]]>657563456432060<![CDATA[High Step-Up DC–DC Converter With Active Switched-Inductor and Passive Switched-Capacitor Networks]]>657564456541723<![CDATA[Design of Two-Channel Bilateral Control Systems by a Transfer-Function-Based Approach]]>65756555664784<![CDATA[Analytic Modeling for Precise Speed Tracking of Multilink Robotic Fish]]>65756655672840<![CDATA[Magnetic Navigation System Utilizing a Closed Magnetic Circuit to Maximize Magnetic Field and a Mapping Method to Precisely Control Magnetic Field in Real Time]]>65756735681952<![CDATA[Practical Time-Delay Control With Adaptive Gains for Trajectory Tracking of Robot Manipulators]]>657568256924805<![CDATA[Omnidirectional-Vision-Based Distributed Optimal Tracking Control for Mobile Multirobot Systems With Kinematic and Dynamic Disturbance Rejection]]>657569357033005<![CDATA[A Hybrid Feedforward-Feedback Hysteresis Compensator in Piezoelectric Actuators Based on Least-Squares Support Vector Machine]]>657570457111016<![CDATA[Efficient Global Optimization of Actuator Based on a Surrogate Model Assisted Hybrid Algorithm]]>65757125721492<![CDATA[Adaptive Dynamic Programming for Robust Regulation and Its Application to Power Systems]]>65757225732951<![CDATA[Surge Detection Approach for Magnetically Suspended Centrifugal Compressors Using Adaptive Frequency Estimator]]>657573357421749<![CDATA[Internal Model-Based Disturbance Observer With Application to CVCF PWM Inverter]]>$Q$ filter is adopted to estimate the lumped disturbance, cannot completely eliminate the harmonics. While the conventional repetitive control (CRC) can attenuate the harmonics by using the error signal of previous period(s), that may result in slow transient response due to nonperiodic components in the tracking error during the transient state. In this paper, an internal model-based disturbance observer (IM-DOB) is proposed and has been applied in a CVCF PWM inverter to improve the control performance. In IM-DOB, a novel IM-based disturbance estimation observer is proposed to estimate the disturbance both in the low-frequency region and at harmonic frequencies, while compensation filters are introduced to enhance the robustness and stability. The IM-DOB scheme, which fuses the merit of CDOB and CRC, is actually a two-degree-of-freedom scheme. The stability analysis and a design case are also given. Comparative experiments are conducted to demonstrate the effectiveness of the proposed scheme.]]>657574357531927<![CDATA[Fusion Algorithm Design Based on Adaptive SCKF and Integral Correction for Side-Slip Angle Observation]]>657575457631431<![CDATA[Switching Frequency Regulation for FCS-MPC Based on a Period Control Approach]]>657576457732032<![CDATA[Study on the Corresponding Relationship Between Dynamics System and System Structural Configurations—Develop a Universal Analysis Method for Eliminating the RHP-Zeros of System]]>657577457842791<![CDATA[Robust Bearing Angle Error Estimation for Mobile Robots With a Gimballed Ultrasonic Seeker]]>657578557951789<![CDATA[Trajectory Tracking Control of an Autonomous Underwater Vehicle Using Lyapunov-Based Model Predictive Control]]>657579658051095<![CDATA[Position Control for Magnetic Rodless Cylinders With Strong Static Friction]]>65758065815928<![CDATA[A Comparative Study Between AI-HM and SPD-HM for Railway Auxiliary Inverter With Pulsating DC Link]]>657581658254838<![CDATA[Nonlinear Monotonically Convergent Iterative Learning Control for Batch Processes]]>65758265836835<![CDATA[Complete Synchronous Vibration Suppression for a Variable-Speed Magnetically Suspended Flywheel Using Phase Lead Compensation]]>657583758461647<![CDATA[Formation Control With Obstacle Avoidance for a Class of Stochastic Multiagent Systems]]>$H_infty$ analysis is implemented. Based on the Lyapunov stability theory, it is proven that control objective can be achieved, of which obstacle avoidance is proven by finding an energy function satisfying that its time derivative is positive. Finally, a numerical simulation is carried out to further demonstrate the effectiveness of the proposed formation schemes.]]>65758475855810<![CDATA[Composite-Observer-Based Output-Feedback Control for Nonlinear Time-Delay Systems With Input Saturation and Its Application]]>65758565863522<![CDATA[Prognosis of Bearing Acoustic Emission Signals Using Supervised Machine Learning]]>65758645871938<![CDATA[Assessment of Data Suitability for Machine Prognosis Using Maximum Mean Discrepancy]]>657587258811303<![CDATA[A Nonlinear Fuzzy Neural Network Modeling Approach Using an Improved Genetic Algorithm]]>657588258921346<![CDATA[A Multivariate Monitoring Method Based on Dual Control Chart]]>657589359021937<![CDATA[Toothwise Fault Identification for a Planetary Gearbox Based on a Health Data Map]]>657590359121635<![CDATA[Offline Interturn Fault Diagnosis Method for Induction Motors by Impedance Analysis]]>d-q plane. First, to show the impedance imbalance, an induction motor model is presented with an ITF circuit loop and fault resistance. Then, six impedance components in the stationary d-q plane are defined, depending on the excited phase windings. With fast Fourier transform (FFT) filtering applied to the six impedance components in the d-q plane, the second-order impedance magnitudes are obtained. From the magnitude, the ITF and the faulty phase can easily be detected. Moreover, a specific faulty winding among the faulty phase windings can be identified. To verify the proposed method, finite-element analysis (FEA) and experimental results are presented for an induction motor having an ITF.]]>657591359201335<![CDATA[Experimental Identification and Parameter Estimation of the Mechanical Driveline of a Hybrid Bus]]>657592159301087<![CDATA[Sparse Exponential Discriminant Analysis and Its Application to Fault Diagnosis]]>65759315940806<![CDATA[Electrical Signature Analysis-Based Detection of External Bearing Faults in Electromechanical Drivetrains]]>657594159502266<![CDATA[Nonlinear Fractional-Order Estimator With Guaranteed Robustness and Stability for Lithium-Ion Batteries]]>657595159612163<![CDATA[Mode Coupling and Parametric Resonance in Electrostatically Actuated Micromirrors]]>65759625969819<![CDATA[Real-Time Optimal State Estimation Scheme With Delayed and Periodic Measurements]]>657597059781275<![CDATA[A Supply-Scalable-Serializing Transmitter With Controllable Output Swing and Equalization for Next-Generation Standards]]>2. The prototype chip achieves a wide output swing range of 0.4–1.3 V_{ppd} and an energy efficiency of 2.10–3.45 pJ/bit, across a data rate of 5 –32 Gb/s.]]>657597959892095<![CDATA[A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method]]>657599059981317<![CDATA[Vehicle Trajectory Prediction by Integrating Physics- and Maneuver-Based Approaches Using Interactive Multiple Models]]>657599960081191<![CDATA[A Receiver for Resource-Constrained Wireless Sensor Devices to Remove the Effect of Multipath Fading]]>65760096016717<![CDATA[IEEE Industrial Electronics Society]]>657C3C348<![CDATA[Information for Authors]]>657C4C457