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TOC Alert for Publication# 41 2014July 24<![CDATA[Table of Contents]]>6111C1581059<![CDATA[IEEE Transactions on Industrial Electronics publication information]]>6111C2C2141<![CDATA[Analytical Method for Pattern Generation in Five-Level Cascaded H-Bridge Inverter Using Selective Harmonic Elimination]]>6111581158191078<![CDATA[High-Efficiency Current Control Methods Based on Multidimensional Feedback Quantization and Its Application to Three-Phase PMSM]]>6111582058292587<![CDATA[Probabilistic Optimal Reactive Power Planning in Distribution Systems With Renewable Resources in Grid-Connected and Islanded Modes]]>6111583058391221<![CDATA[A Shunt Active Power Filter for a Medium-Voltage 12-Pulse Current Source Converter Using Open Loop Control Compensation]]>6111584058502021<![CDATA[A Simplified Control Technique for a Dual Unified Power Quality Conditioner]]>6111585158602898<![CDATA[Analysis and Design of a Wireless Power Transfer System With an Intermediate Coil for High Efficiency]]>6111586158701413<![CDATA[Low-Complexity Model Predictive Power Control: Double-Vector-Based Approach]]>6111587158801674<![CDATA[A Single-Stage Power Electronic Transformer for a Three-Phase PWM AC/AC Drive With Source-Based Commutation of Leakage Energy and Common-Mode Voltage Suppression]]>6111588158932700<![CDATA[On Using Meissner Effect to Conceive a New Linear Electromagnetic Launcher by Zero-Field-Cooling YBCO Bulk Superconductors]]>6111589459021650<![CDATA[Reduction of Output Common Mode Voltage Using a Novel SVM Implementation in Matrix Converters for Improved Motor Lifetime]]>6111590359112449<![CDATA[A Novel Hybrid Finite Control Set Model Predictive Control Scheme With Reduced Switching]]>6111591259201040<![CDATA[Differential-Evolution-Based Parameter Identification of a Line-Start IPM Synchronous Motor]]>611159215929412<![CDATA[Stator Frequency Regulation in a Field-Oriented Controlled DFIG Connected to a DC Link]]>$d - q$ rotor reference currents by using the field-oriented control. The analysis and synthesis of the control system based on a simplified model is discussed. Simulations and experimental results show that the proposed control exhibits good dynamics in the torque control and in frequency regulation.]]>6111593059391568<![CDATA[Analytical Modeling and Analysis of Axial-Flux Interior Permanent-Magnet Couplers]]>6111594059471849<![CDATA[Control Scheme for an Induction Motor Fed by a Cascade Multicell Converter Under Internal Fault]]>6111594859551944<![CDATA[Evaluation of Impregnation Materials for Thermal Management of Liquid-Cooled Electric Machines]]>6111595659651546<![CDATA[Inductance Calculation of Tooth-Coil Permanent-Magnet Synchronous Machines]]>611159665973972<![CDATA[Slotless Bearingless Disk Drive for High-Speed and High-Purity Applications]]>6111597459861434<![CDATA[An Online Battery Impedance Measurement Method Using DC–DC Power Converter Control]]>6111598759951746<![CDATA[Voltage Balancing and Commutation Suppression in Symmetrical Cascade Multilevel Converters for Power Quality Applications]]>6111599660032230<![CDATA[Learning-Based Anti-Hebbian Algorithm for Control of Distribution Static Compensator]]>6111600460121954<![CDATA[Distributed IPT Systems for Dynamic Powering: Misalignment Analysis]]>611160136021859<![CDATA[Wireless Input-Voltage-Sharing Control Strategy for Input-Series Output-Parallel (ISOP) System Based on Positive Output-Voltage Gradient Method]]>6111602260301007<![CDATA[A Resonance-Frequency-Tracing Method for a Current-Fed Piezoelectric Transducer]]>6111603160401049<![CDATA[Maximum Efficiency Point Tracking Technique for <inline-formula> <tex-math notation="TeX">$LLC$</tex-math></inline-formula>-Based PEV Chargers Through Variable DC Link Control]]>$LLC$ converter for plug-in electric vehicle battery-charging applications over a wide battery state-of-charge (SOC) range. With the proposed variable dc link control approach, the dc link voltage follows the battery pack voltage. The operating point of the $LLC$ converter is always constrained to the proximity of the primary resonant frequency so that the circulating current in the magnetizing inductor and the turning-off currents of MOSFETs are minimized. In comparison with conventional approaches, the proposed variable dc link voltage methodology demonstrates efficiency improvement across the wide SOC range. Efficiency improvements of 2.1% at the heaviest load condition and 9.1% at the lightest load condition are demonstrated.]]>6111604160492197<![CDATA[A Low-Distortion Self-Oscillating Power Factor Correction Circuit for Low-Cost Applications]]>6111605060601223<![CDATA[A Smart Multicoil Inductively Coupled Array for Wireless Power Transmission]]>6111606160701465<![CDATA[Uniform Models of PWM DC–DC Converters for Discontinuous Conduction Mode Considering Parasitics]]>611160716080802<![CDATA[Loss Analysis of Low-Voltage TLNPC Step-Up Converters]]>$20times$ were achieved by means of hard-switched prototypes with composite switches consisting of both low- $R_{ds(ON)}$ and high-speed MOSFETs. At lower voltage gains conversion efficiencies exceeding 98% were demonstrated. A thorough loss analysis is reported, extended to subtle power dissipation processes, which in high efficiency converters grow in relevance after weakening of the major loss mechanisms. The related model is proven capable to accurately predict circuit performance in a wide range of operating conditions.]]>611160816090929<![CDATA[Variable-On-Time-Controlled Critical-Conduction-Mode Flyback PFC Converter]]>6111609160991385<![CDATA[Adaptive Removal and Revival of Underheated Thermoelectric Generation Modules]]>6111610061071363<![CDATA[Modeling, Impedance Design, and Efficiency Analysis of Quasi- <inline-formula> <tex-math notation="TeX">$Z$</tex-math></inline-formula> Source Module in Cascaded Multilevel Photovoltaic Power System]]>$Z$ source (qZS) cascaded multilevel inverter (CMI) (qZS-CMI) presents attractive advantages in application to photovoltaic (PV) power system. Each PV panel connects to an H-bridge qZS inverter (qZSI) to form a power generation module. The distributed maximum power point tracking and all modules' dc-link peak voltage balance can be achieved. However, it is the same with the conventional CMI that the second-harmonic ( $2omega$) voltage and current ripples exist in each qZSI module. It is crucial for a qZS-CMI to design the reasonable qZS network parameters to limit the ripples within a desired range. This paper proposes an analytic model to accurately calculate the $2omega$ voltage and current ripples of each qZSI module. A qZS impedance design method based on the built model is proposed to limit the $2omega$ ripples of dc-link voltage and inductor current. Simulated and experimental results through using the designed 1.5-kW prototype validate the proposed analytic model and the design method. Furthermore, this paper analyzes all of the operating states for a qZSI module and calculates the power loss. The measured efficiency from the prototype verifies the theoretical calculation, and the qZS-CMI-based grid-tie PV power system is tested in practical.]]>6111610861171642<![CDATA[Integration of Multiple Modularized Distributed Energy Resource Devices Into AC Grid of Buildings: Issue of Active Power Circulation]]>6111611861271607<![CDATA[Suppressing EMI in Power Converters via Chaotic SPWM Control Based on Spectrum Analysis Approach]]>6111612861371723<![CDATA[Zero Oscillation and Irradiance Slope Tracking for Photovoltaic MPPT]]>6111613861471416<![CDATA[A Robust <inline-formula> <tex-math notation="TeX">$hbox{H}_{2}$</tex-math></inline-formula>-Consumption-Minimization-Based Energy Management Strategy for a Fuel Cell Hybrid Emergency Power System of More Electric Aircraft]]>$hbox{H}_{2}$-consumption-minimization energy management strategy for a fuel cell hybrid emergency power system of a more electric aircraft (MEA). Compared to existing $hbox{H}_{2}$-consumption-minimization strategies based on the equivalent fuel consumption [such as the well-known equivalent consumption minimization strategy (ECMS)], the proposed strategy is less sensitive to the load profile, as the cost function to be optimized does not involve the evaluation of the equivalent fuel consumption, which strongly depends on the whole mission profile. This improves the robustness of the energy management system toward load profile variations, while minimizing the $hbox{H}_{2}$ consumption. Using two typical emergency mission profiles of an MEA, the performance of the proposed strategy is compared with the ECMS through simulations and experiments. Moreover, an off-line optimization-based algorithm is developed to ascertain the validity of the proposed strategy in terms of fuel consumption.]]>6111614861561751<![CDATA[Active DC Voltage Balancing PWM Technique for High-Power Cascaded Multilevel Converters]]>6111615761672573<![CDATA[Diode-Free T-Type Three-Level Neutral-Point-Clamped Inverter for Low-Voltage Renewable Energy System]]>$+$ IGBT current paths. However, the IGBT $+$ diode paths are the same. The calculation in this paper further reveals that the IGBT $+$ diode current paths dominate the conduction losses and even the whole semiconductor losses. Based on the aforementioned recognitions, a novel T-type inverter is presented as an alternative to be applied in the low-voltage renewable energy systems. In the proposed 3L-NPC, four CoolMosfets replace the IGBT $+$ diode middle bidirectional switch. In the proposed topology, there is no diode involved in the current path supposing the unity power factor. In this way, the conduction loss is expected to be reduced compared with that from the conventional T-type 3L-NPC, particularly in the low and medium power ranges.]]>6111616861741195<![CDATA[<inline-formula> <tex-math notation="TeX">${cal H}_{infty}$</tex-math></inline-formula> Based Motion Synchronization in Formation Flight With Delayed Communications]]>${cal H}_{infty}$ control strategy for swarm formation of multiple-unmanned aircraft systems based on the virtual structure considering wind effects and measurement noise. The proposed strategy provides a rigid body formation of unmanned aircraft with motion synchronization in a decentralized manner. Unlike the current strategies in the literature, which consider motion synchronization in specific topologies, this approach proposes a general topology for coupling agents and guarantees the stability of the multiagent system in the presence of communication delays. Simulation results for a multiple-unmanned aircraft system confirm the accuracy of the proposed control strategy for formation flight.]]>611161756182433<![CDATA[Parameter Synthesis of Coupled Nonlinear Oscillators for CPG-Based Robotic Locomotion]]>611161836191847<![CDATA[Motion Expression by Elemental Separation of Haptic Information]]>611161926201998<![CDATA[Analytical and Psychophysical Comparison of Bilateral Teleoperators for Enhanced Perceptual Performance]]>transparency-based method), whereas the second one aims at maximizing the detection and discrimination abilities of the human operator (i.e., perception-based method). For each of these two control methods, two kinds of haptic cues are studied, which use position and force cues from remote environments. Hybrid matrix formulation is employed, and it is analyzed in the frequency domain for these studies. Psychophysical experiments are then conducted for human-centered evaluation and comparison of the control methods. Analytical and experimental results clearly show that the perception-based method, when compared with the transparency-based method, enhances the human operator's perceptual capabilities of remote environments irrespective of force cues. For each of the two control methods, the force cues always contribute more to the increase in perceptual sensitivity when compared with the case of position cues.]]>6111620262121013<![CDATA[Fine Force Reproduction Based on Motion-Copying System Using Acceleration Observer]]>611162136221851<![CDATA[Game-Theoretical Persistent Tracking of a Moving Target Using a Unicycle-Type Mobile Vehicle]]>6111622262331603<![CDATA[Sliding-Mode Predictive Control of Networked Control Systems Under a Multiple-Packet Transmission Policy]]>6111623462431101<![CDATA[Color Calibration for a Surrounding True-Color LED Display System by PWM Controls]]>6111624462522902<![CDATA[Kalman Filter With Recursive Covariance Estimation—Sequentially Estimating Process Noise Covariance]]>611162536263416<![CDATA[Mechanical Impedance Control of Rotatory Test Beds]]>6111626462741448<![CDATA[An Adaptive Servo Control Strategy for Automotive Electronic Throttle and Experimental Validation]]>6111627562841453<![CDATA[Extended-State-Observer-Based Output Feedback Nonlinear Robust Control of Hydraulic Systems With Backstepping]]>6111628562931064<![CDATA[A Reputation-Based Secure Distributed Control Methodology in D-NCS]]>6111629463031434<![CDATA[A Residual Storage Life Prediction Approach for Systems With Operation State Switches]]>611163046315754<![CDATA[Reconfigurable Parallel Coupled Band Notch Resonator With Wide Tuning Range]]>6111631663261989<![CDATA[Design and Real-Time Implementation of SHEPWM in Single-Phase Inverter Using Generalized Hopfield Neural Network]]>$n$ number of harmonics can be eliminated using the presented methodology, this paper tries for the case of the elimination of the 5th-, 7th-, 11th-, and 13th-order harmonics while retaining the desired fundamental. An energy function is formulated for this problem and the set of ordinary differential equations (ODEs) describing the behavior of GHNN is obtained. A program in KEIL C was developed to solve these systems of ODEs by the Runge–Kutta fourth-order method to give the switching instants for continuously varying modulation indexes $(M)$. A MATLAB simulation was carried out, and an experimental setup was also constructed in order to validate the simulated results. The fast Fourier transform analysis of the simulated output voltage waveform and the experimental output voltage waveform confirms the effectiveness of the proposed method. Hence, the proposed method proves that it is much applicable in the industrial applications by virtue of its suitability in real-time applications.]]>6111632763361901<![CDATA[A 1-kW Contactless Energy Transfer System Based on a Rotary Transformer for Sealing Rollers]]>6111633763451208<![CDATA[Sleep Scheduling for Geographic Routing in Duty-Cycled Mobile Sensor Networks]]>$k$ neighborhood (CKN) sleep scheduling algorithm and the geographic routing oriented sleep scheduling (GSS) algorithm, nearly all research work about geographic routing in duty-cycled WSNs has focused on the geographic forwarding mechanism; further, most of the existing work has ignored the fact that sensors can be mobile. In this paper, we focus on sleep scheduling for geographic routing in duty-cycled WSNs with mobile sensors and propose two geographic-distance-based connected- $k$ neighborhood (GCKN) sleep scheduling algorithms. The first one is the geographic-distance-based connected- $k$ neighborhood for first path (GCKNF) sleep scheduling algorithm. The second one is the geographic-distance-based connected- $k$ neighborhood for all paths (GCKNA) sleep scheduling algorithm. By theoretical analysis and simulations, we show that when there are mobile sensors, geographic routing can achieve much shorter average lengths for the first transmission path explored in WSNs employing GCKNF sleep scheduling and all transmission paths searched in WSNs employing GCKNA sleep scheduling compared with those in WSNs employing CKN and GSS sleep scheduling.]]>6111634663551715<![CDATA[Data-Driven Control and Process Monitoring for Industrial Applications—Part I]]>611163566359171<![CDATA[Iterative Data-Driven Tuning of Controllers for Nonlinear Systems With Constraints]]>611163606368661<![CDATA[Sensorless Control of Distributed Power Generators With the Derivative-Free Nonlinear Kalman Filter]]>611163696382555<![CDATA[A Data-Driven Approach to Control of Batch Processes With an Application to a Gravimetric Blender]]>611163836390785<![CDATA[A Novel Model-Free Adaptive Control Design for Multivariable Industrial Processes]]>611163916398975<![CDATA[Data-Driven Neuro-Optimal Temperature Control of Water–Gas Shift Reaction Using Stable Iterative Adaptive Dynamic Programming]]>611163996408664<![CDATA[Data-Driven Design and Optimization of Feedback Control Systems for Industrial Applications]]>611164096417504<![CDATA[A Review on Basic Data-Driven Approaches for Industrial Process Monitoring]]>611164186428351<![CDATA[Multiblock Concurrent PLS for Decentralized Monitoring of Continuous Annealing Processes]]>6111642964371057<![CDATA[A New Method of Dynamic Latent-Variable Modeling for Process Monitoring]]>611164386445677<![CDATA[Quality-Related Fault Detection in Industrial Multimode Dynamic Processes]]>611164466453611<![CDATA[Using FE Calculations and Data-Based System Identification Techniques to Model the Nonlinear Behavior of PMSMs]]>$dq$ plane over a full electrical period. The parameters obtained are the stator flux in terms of the direct and quadrature components and the air-gap torque, both modeled as functions of the rotor angle and the current vector. The data are preprocessed according to theoretical results on potential harmonics in the targets as functions of the rotor angle. A variety of modeling strategies were explored: linear regression, support vector machines, symbolic regression using genetic programming, random forests, and artificial neural networks. The motor models were optimized for each training technique, and their accuracy was then compared based on the initially available FE data and further FE simulations for additional current vectors. Artificial neural networks and symbolic regression using genetic programming achieved the highest accuracy, particularly with additional test data.]]>611164546462600<![CDATA[Stability Analysis for a Class of Systems: From Model-Based Methods to Data-Driven Methods]]>611164636471343<![CDATA[A Supertwisting Algorithm for Systems of Dimension More Than One]]>611164726480744<![CDATA[IEEE Industrial Electronics Society Information]]>6111C3C3123<![CDATA[IEEE Transactions on Industrial Electronics information for authors]]>6111C4C4115