bluuebunny/crossref_metadata_2025_split huggingface dataset:
Novel Compensation Method to Reduce Rotor Position Estimation Error and Torque Reduction in Signal Injection Based PMSM Drives
Authors: Setty Allampalli Ravikumar , Mangsuli PurnaPrajna R , Chatterjee Kishore 
Published: January 2018

High frequency signal injection techniques are widely used to extract rotor position information from low speed to stand still. Accuracy of estimated rotor position is decreased when stator winding resistance is neglected. Position estimation error also results in output Torque reduction. Parasitic resistance of stator winding causes significant position estimation error <br /> and Torque reduction, if not compensated. Signal injection techniques developed in the literature does not provide detailed analysis and compensation methods to improve rotor position estimation of PMS Motors, where stator winding resistance cannot be neglected. This work analyzes the stator winding resistance effect on position estimation accuracy and proposes novel compensation technique to reduce the position estimation error and torque reduction introduced by stator winding resistance. Prototype hardware of a self-sensing PMSM drive is developed. The effectiveness of the proposed method is verified with the MATLAB/Simulink simulations and experimental results on a prototype self-sensing PMSM drive.
Shunt Active Filter Based on Radial Basis Function Neural Network and p-q Power Theory
Authors: Ch. Tah Prakash , Panda Anup K. , P. Panigrahi Bibhu 
Published: January 2018

In this paper a new combination Radial Basis Function Neural Network and p-q Power Theory (RBFNN-PQ) proposed to control shunt active power filters (SAPF). The recommended system has better specifications in comparison with other control methods. In the proposed combination an RBF neural network is employed to extract compensation reference current when supply voltages are distorted and/or unbalance sinusoidal. In order to make the employed model much simpler and tighter an adaptive algorithm for RBF network is proposed. The proposed RBFNN filtering algorithm is based on efficient training methods called hybrid learning method.The method requires a small size network, very robust, and the proposed algorithms are very effective. Extensive simulations are carried out with PI as well as RBFNN controller for p-q control strategies by considering different voltage conditions and adequate results were presented.
A PWM Strategies for Diode Assisted NPC-MLI to Obtain Maximum Voltage Gain for EV Application
Authors: Bharatiraja C. , Harish Shri , Munda J L , Sanjeevikumar P. , Kumar M. Sriram , Bhati Vivek 
Published: January 2018

The projected diode assisted Neutral Point Diode Clamed (NPC-MLI) with the photovoltaic system produces a maximum voltage gain that is comparatively higher than those of other boost conversion techniques. This paper mainly explores vector selection approach pulse-width modulation (PWM) strategies for diode-assisted NPC-MLI to obtain a maximum voltage gain without compromising in waveform quality. To obtain a high voltage gain maximum utilization of dc-link voltage and stress on the power switches must be reduced. From the above issues in the diode assisted NPC-MLI leads to vector selection approach PWM technique to perform capacitive charging in parallel and discharging in series to obtain maximum voltage gain. The operation principle and the relationship of voltage gain versus voltage boost duty ratio and switching device voltage stress versus voltage gain are theoretically investigated in detail. Owing to better performance, diode-assisted NPC-MLI is more promising and competitive topology for wide range dc/ac power conversion in a renewable energy application. Furthermore, theoretically investigated are validated via simulation and experimental results.
A Review: Design Variables Optimization and Control Strategies of a Linear Switched Reluctance Actuator for High Precision Applications
Authors: Kiat Yeo Chin , Md Ghazaly Mariam , Chong Shin Horng , Jamaludin Irma Wani 
Published: January 2018

This paper presents the review of design variables optimization and control strategies of a Linear Switched Reluctance Actuator (LSRA). The introduction of various type of linear electromagnetic actuators (LEA) are compared and the advantages of LSRA over other LEA are discussed together with the type of actuator configurations and topologies. The SRA provides an overall efficiency similar to induction actuator of the similar rating, subsequently the friction and windage losses are comparable but force density is better. LSRA has the advantage of low cost, simple construction and high reliability compare to the actuator with permanent magnet. However, LSRA also has some obvious defects which will influence the performance of the actuator such as ripples and acoustic noise which are caused by the highly nonlinear characteristics of the actuator. By researching the design variables of the actuator, the influences of those design variables are introduced and the detail comparisons are analyzed in this paper. In addition, this paper also reviews on the control strategies in order to overcome the weaknesses of LSRA.
Control Strategy Used in DFIG and PMSG Based Wind Turbines an Overview
Authors: Meenakshi V. , Paramasivam S. 
Published: January 2018

<p class="Abstract">Nowadays, the fossil combustibles are replaced by renewable energies sources .These renewable energies are nontoxic, dirt free, and protected and reasonably cheep for the user. Renewable energy resources like bio-gas, geothermal, solar, tidal waves and wind have been found as the best alternatives energy source. Among those renewable energy sources, wind energy stands foremost for generating electricity. In order to have a constant utilization of wind energy and to extract maximum power from wind energy. In this paper, various control strategies prevalent to both the Doubly Fed Induction Generator (DFIG)and Permanent Magnet Synchronous Generator(PMSG) have been analyzed . In addition, control topology applicable to power electronics converter/inverter used in wind electric generators are discussed.</p>
Performance Comparison of Star Connected Cascaded STATCOM Using Different PWM Techniques
Authors: Reddy Ch. Lokeshwar , Kumar P. Satish , Sushama M. 
Published: January 2018

<p><span>Five control algorithms are presented in this paper for STATCOM that meets the requirement of load reactive power and correspondingly voltage balancing of isolated dc capacitors for H-bridges. The control techniques used for an inverter in this paper are Sinusoidal Phase Shifted Carrier (SPSC) PWM, Sinusoidal Phase Disposition (SPD) PWM Third Harmonic Injected Phase Shifted Carrier (THIPSC) PWM, Space Vector Phase Shifted Carrier (SVPSC) PWM, and Space Vector Phase Disposition (SVPD) PWM techniques. The STATCOM performance for the different load changes is simulated in MATLAB environment. The performance parameters such as balancing the DC link voltage, THD for the STATCOM output currents, voltages, and reactive components supplied by the STATCOM to the load are compared for all the control strategies.</span></p>
Adaptive Neuro-Fuzzy Inference System-based Improvement of Perturb and Observe Maximum Power Point Tracking Method for Photovoltaic Systems
Authors: Bataineh Khaled , Taamneh Yazan 
Published: January 2018

This paper presents a maximum power point (MPP) tracking method based on a hybrid combination between the fuzzy logic controller (FLC) and the conventional Perturb-and-Observe (P&amp;O) method. The proposed algorithm utilizes the FLC to initialize P&amp;O algorithm with an initial duty cycle. MATLAB/Simulink models consisting of, the photovoltaic system, boost converter and controllers, are built to evaluate the performance of the proposed algorithm. To accurately illustrate the performance of the proposed algorithm, comparisons with standalone FLC and P&amp;O are carried out. The performance of the proposed algorithm is investigated difficult weather conditions including sudden changes and partial shading. The results showed that the proposed algorithm successfully reaches MPP in all scenarios.
Power Quality Improvement by Solar Photo-voltaic / Wind Energy Integrated System Using Unified Power Quality Conditioner
Authors: Samal Sarita , Kumar Hota Prakash 
Published: January 2018

The real problems in diminution of power quality occurs due to the rapid growth of nonlinear load are leads to sudden decrease of source voltage for a few seconds i.e sag, swell, harmonics in source and load current, voltage unbalance etc. All these problems can be compensated by using Unified Power Quality Controller (UPQC) and the operation of UPQC depends upon the available voltage across capacitor present in dc link. If the capacitor voltage is maintained constant then it gives satisfactory performance. The proposed research is basically on designing of Photo Voltaic (PV) /Wind energy fed to the dc link capacitor of UPQC so as to maintain proper voltage across it and operate the UPQC for power quality analysis. The said model is simulated in Matlab and results are verified by using FFT analysis.The proposed PV/ Wind energy-UPQC is design in Matlab simulation for reduction of voltage sag, swell, interruption of voltage, harmonics in load current and compensation of active and reactive power.
Distributed Generation Inverter as APF in Dual APF DG interfacing Scheme
Authors: Babu Yadiki Rajendra , Rao C. Srinivasa 
Published: January 2018

<span>Power quality issues are the most concerned area for electrical engineers in these modern days due to indusrtrialization and advancements in electronics. Harmonics are one of the power quality issues that deteriorated the quality of source components delivered to load. Active power filters (APF) are the compensating devices used to mitigate harmonics. Distributed generation (DG) became a trendline due to economical, technical and environmental reasons. This paper presents the harmonic compensation using dual APF sharing compensating signals while active power is fed from distributed generation to grid. DG inverter acts as an interface between DG system and grid to feed active power from DG to grid. In this context, the DG inverter acts both as inverter and APF, used as inverter to invert supply from DG and feeds grid for specified time and also as APF for harmonic compensation thereafter along with dual APF. The proposed system is developed and results are obtained using MATLAB/SIMULINK software. Results are shown for DG inverter feeding active power to grid and also acting as APF. Dual APF characteristics are also shown. </span>
Enhanced Zeta Converter for DC Bus Voltage Regulation
Authors: Suresh P. , Kirubakaran D. 
Published: January 2018

In this paper, an Enhanced Zeta Converter (EZC) along with a high voltage gain converter is presented for DC Bus voltage regulation. The enhanced zeta converter consists of capacitors connected in parallel with the conventional zeta structure. The proposed zeta converter is applied to the Photo Voltaic system (PV) The well known Maximum Power Point Tracking (MPPT) P &amp; O algorithm is used to extract maximum power from the photovoltaic system. The increased voltage is obtained with reduced number of switches using the proposed structure. The results to the proposed structure are compared with the conventional topology. The proposed converter is simulated using MATLAB and the same is verified with the hardware.
Performance Analysis of FPGA based Diode Clamped Multilevel Inverter Fed Induction Motor Drive using Phase Opposition Disposition Multicarrier Based Modulation Strategy
Authors: Susheela Nunsavath , Kumar Satish 
Published: January 2018

<p>Multilevel inverters (MLI) are becoming more popular over the years for medium and high power applications because of its significant merits over two level inverters. This paper presents an implementation of multicarrier based sinusoidal pulse width modulation technique for three phase seven level diode clamped multilevel inverter. This topology is operated under phase opposition disposition pulse width modulation technique. The performance of three phase seven level diode clamped inverter is analyzed for induction motor (IM) load. Simulation is performed using MATLAB/SIMULINK. Experimental results are presented to validate the effectiveness of the operation of the diode clamped multilevel inverter using field programmable gate array.</p>
Hardware Implementation of Solar Photovoltaic System based Half Bridge Series Parallel Resonant Converter for Battery Charger
Authors: K Rakhi , Karuppasamy Ilango , G Nair Manjula 
Published: January 2018

The long established battery chargers are having many drawbacks such as prominent ripple charging current, less efficiency and bulky in size. To overcome these drawbacks of conventional battery charger, several charging circuits have been proposed and inevitability force to design a high-performance battery charger with small in size and improved efficiency. In this paper solar photovoltaic system based half-bridge series–parallel resonant converter (HBSPRC) charger is proposed for battery interface. The converter is designed to abolish low and high-frequency ripple currents and thus take full advantage of the life of secondary battery circuit. This is achieved by designing converter switches turn on at zero current and zero voltage with switching frequency greater than that of resonance frequency which leads to freewheeling diodes need not have very fast reverse-recovery characteristics. The performance of the power converters depends upon the control method adopted; in this work fuzzy logic controller is used for controlling the output voltage of HBSPRC. The fuzzy control scheme for the HBSPR converter has been designed and validated in hardware implementation of HBSPRC switching technique. From the results, it is found that the proposed battery charging system which reduces the switching loss and voltage stress across the power switches which increases the efficiency of the converter.
High Torque Flux Switching Permanent Magnet Machine in Segmented Outer Rotor using Appropriate Split Ratio for Electric Scooter Propulsion
Authors: Mbadiwe I Enwelum , Sulaiman Erwan , Zarafi Ahmad Md , Rahimi Siti Khalidah 
Published: January 2018

<span>Recently, permanent magnet synchronous machine (PMSM) having the diameter of 11inches was successfully developed and installed in electric scooter vehicle (ESV) for propulsion. It consists of segmented stators of 24 armature slots and 100 pieces of permanent magnet of 2 kg weight mounted on rotating rotor. Upon the huge amount of materials and permanent magnet used, PMSM produced 110Nm only. Looking at the size, this torque is low and could not sustain acceleration for long distance travels. To overcome the challenge of low torque, this paper presents a new machine type, flux switching motor (FSM) with 1 kg weight of permanent magnet flux source employing segmented outer rotor. Six ranges of split ratio of 0.80-0.85 for outer rotor 24slot-14pole FSPM motor configurations were designed and compared. The 2D-FEA by JMAG software version 14 is used to examine its performance in term of flux linkage, cogging torque, back-emf and average torque which the structure with split ratio of 0.85 took lead by securing highest torque profile of 209Nm. It also achieved low cogging torque to operate in safe region. In conclusion, appropriate split ratio significantly enhances high torque capability of permanent magnet flux switching motor for electric scooter propulsion.</span>
MRAS-based Sensorless Speed Integral Backstepping Control for Induction Machine, using a Flux Backstepping Observer
Authors: Horch Mohamed , Boumediene Abdelmadjid , Baghli Lotfi 
Published: January 2018

<p>This paper presents a study concerning a sensorless vector control of an induction machine fed by a voltage source inverter. The aim is to provide a scheme to control the speed and the rotor flux using a sensorless integral backstepping control approach. The rotor speed estimation is done by an observer using the model reference adaptive system (MRAS) technique whereas the nonlinear backstepping observer is used to get the rotor flux. The main objective is to achieve a robust control, adaptive and efficient, which will allow us to test and evaluate the performance of the proposed observer, combined with a sensorless control of the induction machine. Tests and validation are done using numerical simulations with MATLAB/SIMULINK-PSB (Power System Block set) toolbox. The results show good performance in terms of robustness regarding machine parameter variations and show the excellent quality of the control law associated with the observer, despite the observability problems when the machine operates at low speed. </p>
Neural Adaptive Kalman Filter for Sensorless Vector Control of Induction Motor
Authors: Imane Ghlib , Youcef Messlem , Abdelmadjid Gouichiche , Zakaria Chedjara 
Published: January 2018

This paper presents a novel neural adaptive Kalman filter for speed sensorless field oriented vector control of induction motor. The adaptive observer proposed here is based on MRAS (model reference adaptive system) technique, where the linear Kalman filter calculate the stationary components of stator current and the rotor flux and the rotor speed is calculated with an adaptive mechanism. Moreover, to improve the performance of the PI classical controller under different conditions, a novel adaptation scheme based on ADALINE (ADAptive LInear NEuron) neural network is used. It offers a solution to the PI parameters to stabilize automatically about their optimum values and speed estimation to converge quicker to the real. The proposed adaptive Kalman filter represents a good comprise between estimation accuracy and computationally intensive. The simulation results showed the robustness, efficiency, and superiority of the proposed scheme compared to the classical method even in low speed region.
Performance Analysis of 12Slot with Various Rotor Pole Numbers HE-FSM for HEV Application
Authors: Rahimi Siti Khalidah , Ahmad Zarafi , Sulaiman Erwan , Mbadiwe I Enwelum , Othman Syed Muhammad Naufal Syed 
Published: January 2018

This paper presents performance analysis of 12Slot with various rotor pole numbers Hybrid Excitation Flux Switching Machine (HEFSM) for Hybrid Electric Vehicles (HEVs) application. HEFSM has carried out by combining the advantage of Permanent Magnet (PM) machines and DC Field Excitation Coil (FEC) synchronous machines. Previously, most of HEFSM structure having FEC windings in theta direction that create a problem of flux cancellation that will affect the performances of the machine. Thus, a design of 12Slot HEFSM with FEC wounded in radial direction is proposed to eliminate the flux cancellation effect. At first, armature coil arrangement test at no-load condition is conducted to analyze PM flux. Furthermore, induced voltage and cogging torque at open circuit condition are investigated based on 2D finite element analysis (FEA). Finally, torque and power performances are also examined at maximum FEC and armature current densities. The outcomes demonstrate that 12S-14P configuration has the highest PM flux linkage, torque, power and less distortion of back-emf waveform which are required to be used as a motor in HEVs. The highest torque and power achieved are 220.15Nm and 92.45kW, respectively.
Predictive Control of AC/AC Matrix Converter
Authors: Yusoff Siti Hajar , Midi Nur Shahida , Khan Sheroz , Tohtayong Majdee 
Published: January 2018

<span>This work investigates the usage of Model Predictive Control (MPC) for a three phase conventional matrix converter with low pass filter at the input and output side. The conventional matrix converter has 3 input and 3 output which gives 27 switching state. From this design, a MPC is incorporate to control the output voltage and the input currents for all the phases. The design of the proposed controller is based on the input current controller and output voltage controller with load observer. The proposed MPC using cost function will select the minimized switching state to be applied to next switching. This gives a sinusoidal output voltages and input currents. A simulation and experimental studies are presented to validate the proposed control scheme.</span>
Improving 1-Year Outcomes of Infrainguinal Limb Revascularization
Authors: Heikkila Katriina , Mitchell David C. , Loftus Ian M. , Johal Amundeep S. , Waton Sam , Cromwell David A. 
Published: January 2018

Background:
The availability and diversity of lower limb revascularization procedures have increased in England in the past decade. We investigated whether these developments in care have translated to improvements in patient pathways and outcomes.

Methods:
Individual-patient records from Hospital Episode Statistics were used to identify 103 934 patients who underwent endovascular (angioplasty) or surgical (endarterectomy, profundaplasty, or bypass) lower limb revascularization for infrainguinal peripheral artery disease in England between January 2006 and December 2015. Major lower limb amputations and deaths within 1 year after revascularization were ascertained from Hospital Episode Statistics and Office for National Statistics mortality records. Competing risks regression was used to estimate the cumulative incidence of major amputation and death, adjusted for patient age, sex, comorbidity score, indication for the intervention (intermittent claudication, severe limb ischemia without record of tissue loss, severe limb ischemia with a record of ulceration, severe limb ischemia with a record of gangrene/osteomyelitis), and comorbid diabetes mellitus.

Results:
The estimated 1-year risk of major amputation decreased from 5.7% (in 2006–2007) to 3.9% (in 2014–2015) following endovascular revascularization, and from 11.2% (2006–2007) to 6.6% (2014–2015) following surgical procedures. The risk of death after both types of revascularization also decreased. These trends were observed for all indication categories, with the largest reductions found in patients with severe limb ischemia with ulceration or gangrene. Overall, morbidity increased over the study period, and a larger proportion of patients was treated for the severe end of the peripheral artery disease spectrum using less invasive procedures.

Conclusions:
Our findings show that from 2006 to 2015, the overall survival increased and the risk of major lower limb amputation decreased following revascularization. These observations suggest that patient outcomes after lower limb revascularization have improved during a period of centralization and specialization of vascular services in the United Kingdom.
Effects of irradiation on the reproduction of Rotylenchulus reniformis
Authors: Myers Roxana Y. , Follett Peter A. , Mello Cathy L. , Snook Kirsten A. 
Published: January 2018

Rotylenchulus reniformis is an agricultural pest of economic and regulatory importance. The effects of irradiation on second-stage juveniles (J2) of R. reniformis were evaluated in a glasshouse bioassay. Nematodes were irradiated in an aqueous solution in plastic tubes within cored Ipomoea batatas roots. Radiation treatment doses ranged from 100 to 2000 Gy. After irradiation, nematodes were inoculated into pots containing I. batatas plants and plants were harvested after 3 months to evaluate nematode reproduction. No live R. reniformis were recovered from plants inoculated with irradiated J2 treated with a radiation dose of 300 Gy or higher. Reproductive potential was significantly reduced at radiation doses as low as 100 Gy compared with untreated controls. A radiation dose of 300 Gy should provide quarantine security for commodities infected with R. reniformis.