Articles

  1. EQUATION BASED SELECTIVE HARMONICS ELIMINATION USING MATRIX CONVERTERDownload Article

    1S.Manoranjan, 2M.Sakthi,M.E.,

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    Selective Harmonic Elimination (SHE) is often utilized in both two-level inverters and multilevel inverters to reduce the switching frequency and the Total Harmonic Distortion. For both two level and multilevel inverters, most SHE studies are based on solving multiple variable high order nonlinear equations. This dissertation addresses the further developed harmonics injection and equal area criteria based four-equation method to realize Selective Harmonic Elimination for two-level inverters and multilevel inverters with unbalanced dc sources. Compared with existing methods, the proposed method does not involve complex equation groups and is much easier to be utilized in the case of large number of switching angles or multiple switching angles per voltage level in multilevel inverters. For harmonics compensation for active power filters, the proposed method is modified for selective harmonics generation based on distributed energy resources. By using advanced instantaneous power theory, the four-equation based method can be used as a comprehensive and universal solution for reliable and efficient power delivery in smart grids. Simulation is carried out in MATLAB/ SIMULINK software and the results of matrix converter based selective harmonic elimination are presented.

  2. T – SOURCE INVERTER BASED INTEGRATED SYSTEM WITH SOLAR ENERGY FOR ELECTRICAL APPLICATIONSDownload Article

    1P.Sudharsan, 2A.Venkatesh,M.E.,

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    In recent years, power demand increases drastically and dependence on renewable energy resources will be the inevitable one. Solar energy is one of the resources that provides in the free of pollution and conventional one. The proposed project presents the integrated grid power with solar energy using T – source inverter for boosting PV voltage with Pulse Width Modulation (PWM) control scheme. In this work, single stage buck – boost operation is carried out by means of interleaved boost converter for providing constant power supply to the inverter. Constant power supply is carried with means of MPPT control technique and State of Charge (SOC) scheme in batteries. Tsource inverter provides the constant conversion of dc to ac even there is dip in the input dc voltage. Power conversion is carried out in terms of constant voltage supply module. One of the advantages in the T source inverter is reduced stresses in the switch and ripple current. The functionality verification of the T source inverter with reduced stress is done using MATLAB/SIMULINK software. The proposed concept is verified through simulation. From the simulation result, the performance of load sharing in integrated way and reduced stresses is obtained.

  3. HARMONIC OPTIMIZATION OF CASCADE MULTILEVEL INVERTER USING GENETIC ALGORITHMDownload Article

    1R.Sivakumar, 2R.Gandhi.,ME.,(PhD)

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    Multilevel inverter have been attracting increasing interest recently due to the increased power rating, improving harmonic performance, and reduced electromagnetic inference (EMI) emission. In this project, a genetic algorithm (GA) optimization technique is applied to 7-level cascaded multilevel inverter which determines optimum switching angles to eliminate 5th and 7th order harmonics. Genetic Algorithm is developed as the preferred solution algorithm of specific harmonic elimination (PWM-SHE) switching pattern. This project describes an efficient genetic algorithm that reduces significantly the computational burden resulting in fast convergence. The output voltage contains harmonics the different type of harmonics elimination methods are available. But all the method having some limitations. This project deals with how to reduce the particular harmonics in the output voltage of inverter. The concept of the harmonic stepped waveform technique for the multilevel inverter to be presented. By applying this concept, selected harmonic can be eliminated, and the output voltage THD can be improved. A procedure to achieve the appropriate switching angle is to be proposed. The proposed project is to be simulated by using MATLAB.

  4. MODELLING AND SIMULATION OF NON LINEAR DISTURBANCE OBSERVER WITH FUZZY COMPUTING FOR STABILITY CONTROL IN DC BUS NETWORK SYSTEMDownload Article

    1A.Prema, 2S.Ravi, 3W.S.W.A.Najmuddin, 4Abu Zaharin

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    In a hybrid ac to dc micro grid system one important task is to control the DC bus voltage. To improve the dc-bus voltage control dynamics, the nonlinear disturbance observer based dc-bus voltage control is used, which does not need the remote measurement and enables the important plug-and-play feature. Based on this observer, a novel dc-bus voltage control scheme is developed to suppress the transient fluctuations of dc-bus voltage and improve the power quality in such a micro grid system. But it gives low stability and there is no feedback control loop. The Efficiency of DC source utilization is less in DC grid. The converter pulse width modulation signal is simple. In this paper the new fuzzy logic algorithm is proposed to generate pulse width modulation signal and controlling technique are closed loop control. Fly back converter is used to improve the efficiency of DC grid and stabilize the dc bus voltage by connecting synchronizing rectifier. The nonlinear disturbance observer is used track the power disturbance of dc grid. The maximum power point hill claiming algorithm is used. Its tracks even the small fluctuations accurately. Keywords: DC micro grid, Nonlinear disturbance observer, Pulse width modulation, Fly back converter, Hill claiming algorithm.

  5. MATERIAL OPTIMIZATION OF FLYWHEEL IN IC ENGINEDownload Article

    1P.Vinothkumar, 2M.Prabhu

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    The material optimization of flywheel in an internal combustion engine is performed. The 3D model of the flywheel by using pro-e software and the analysis taken by different materials of the flywheel and the analysis taken by the ANSYS software has done. The rotational velocity and moment acting on the flywheel by the 3 materials are analyzed. Presently the flywheels are made by the material of gray cast iron, same load under the three materials have been tested. The materials taken are Aluminum alloy (Duralumin), Carbon Fiber, E glass epoxy. KEYWORDS: Rotational velocity, Flywheel, Optimization

  6. ANALYSIS AND OPTIMIZATION OF LOWER CONTROL ARM USING FRONT SUSPENSION SYSTEMDownload Article

    1S.Suresh, 2P.Manikandan

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    Suspension systems are used to provide good ride and handling performance in providing chassis isolation of vertical compliance. It ensures that the wheels follow the road profile with little tire load fluctuation. Suspension steering control is maintained during maneuvering wheels to be maintained in proper position. It achieves longitudinal braking, accelerating forces, lateral cornering forces, braking and accelerating torques responds favorably to control forces produced by the tires. It prevents the transmission of „road noise‟ to the vehicle body so that it requires appropriate isolation in the suspension joints to provide isolation from high frequency vibration from tire excitation. The design has been modified by reducing the thickness of profile. It accomplishes the optimization that would placate customer‟s anticipations.

  7. DESIGN AND MATERIAL OPTIMIZATION OF I.C ENGINE PISTON USING ANSYSDownload Article

    1K.V.Karthick, 2S. Ponnusamy

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    The Piston is a „heart‟ of an automobile engine. The piston is a major part of IC engine which is used to transmit the power from combustion chamber to crank shaft without piston engine could not run. The use of a piston is mostly found in automobiles. A little consideration will show that in order to reduce the piston material. In this project, the analysis on piston of an IC engine is done. The detailed analytical design of piston is calculated and discussed, and then three dimensional model of the piston was created by using calculated parameters using Cero Parametric 2.0 software and finite element analysis (FEA) is performed to obtain the variation of stress at critical locations of the piston using the ANSYS 14.0 software.

  8. PRICING ADJUSTMENT COMBINATORIAL DOUBLE AUCTION RESOURCE ALLOCATION MODEL IN CLOUD COMPUTINGDownload Article

    1C.John Wesley, 2P.Karthikeyan

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    Users and providers have different requirements and objectives in an investment market. Users will pay the lowest price possible with certain guaranteed levels of service at a minimum and providers would follow the strategy of achieving the highest return on their investment. Designing an optimal market-based resource allocation that considers the benefits for both the users and providers is a fundamental criterion of resource management in distributed systems, especially in cloud computing services. Most of the current market-based resource allocation models are biased in favour of the provider over the buyer in an unregulated trading environment. In this study, the problem was addressed by proposing a new market model called the Combinatorial Double Auction Resource Allocation (CDARA), which is applicable in cloud computing environments. The CDARA was prototyped and simulated using CloudSim, a Java-based simulator for simulating cloud computing environments, to evaluate its efficiency from an economic perspective. The results proved that the combinatorial double auction-based resource allocation model is an appropriate market-based model for cloud computing because it allows double-sided competition and bidding on an unrestricted number of items. Keywords- double auction, cloud computing, resource allocation

  9. NEURAL NETWORK BASED IMAGE SEGMENTATION FORNATURAL IMAGESDownload Article

    1S.Amith, 2S.John Livingston

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    This paper presents a new Neural Network based region image segmentation using grow cut. This method is developed to obtain improved performance in seed based region growing method. The results shown in normal seeded region growing method are unsatisfactory so we propose a new method to increase the performance of the result by adding a neural network to the system. By training the neural network it will easily put the seeds for growing and merging. The performance of the proposed system is better compared with the seed region growing and the values inferred from result evaluation gives good result. KEYWORDS: Image segmentation, neural networking, seed-based region growing, watershed algorithm

  10. RESOURCE BROKERING SCHEME IN WIRELESS GRIDS CONSIDERING OUT OF VICINITY RELIABLE RESOURCES WITH IMPROVED DEVICE RELIABILITY EVALUATIONDownload Article

    1U.SuriyaPrakash, 2A.Shamila Ebenezer

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    The wireless grids, due to the rapid growth in wireless devices it have been evolved in communication services and also in Information Access. The customers prefer reliable resources at minimum cost and providers prefer maximum benefit for their resources. The non-cooperative bargaining game is used between the negotiation agent and the provider where both agents bargain to return a solution. With the improved device reliability evaluation the resources are allocated for high reliability device and jobs are done with limited amounted of time. Continuous negotiation process is applied with discount strategies like conservative, linear or aggressive bargaining based on the negotiation status of the agent. The parameters like device reliability, resource utilization rate are evaluated. Keywords—Non Cooperative bargaining, Device reliability.

  11. PV SYSTEM FOR DOMESTIC APPLICATION BY IMPLEMENTING CASCADED MLI WITH LOW CURRENT DISTORTIONDownload Article

    1Vasudevan. A, 2M.Sundaraperumal,

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    The leakage current paths in PV CMI are analyzed and the unique features are discussed. The filterbased suppression solutions are then presented to tackle the leakage current issue in different PV CMI applications. To maximize the energy harvest from the photovoltaic (PV) panels, the cascaded multilevel inverter (CMI) has been considered in PV applications for decades. The CMI features separate dc inputs, making possible the string or even panel level maximum power point tracking. The energy harvest can be maximized in case of mismatch in the PV panels due to panel aging, shading effect or accumulation of dust in the panel surface. The cascaded structure can also generate high-quality output waveforms with each semiconductor device switching at lower frequency. In addition, cheaper power semiconductors with lower voltage rating can be utilized in the CMI compared with the central/string inverters. Currently, the CMI has found its applications in both utility scale and residential/commercial PV systems. Due to the parasitic capacitance between the PV panels and the earth, circulating leakage currents can flow through the panels and grid ground, leading to increased output harmonic content, higher losses, safety, and electromagnetic interference (EMI) problems. So far, there is rarely publication dealing with the leakage current issue in transformer less CMI-based PV systems. Nevertheless, the solutions cannot be directly adopted in CMI to tackle the leakage current problem owing to the unique circulating current loops found among the cascaded modules. This enhances the modular multilevel operations based on the carrier switching frequency selection. It is found that switching frequencies that are integer multiples of the fundamental frequency should be avoided as they can cause the capacitor voltages across the solar panel to diverge. Suitable switching frequencies are derived for which the arm and line quantities will be periodic with symmetric operating conditions in the upper and lower arms. Thus, the practical outcome of this concept is a detailed description of how the switching frequency should be chosen in order to achieve advantageous operating conditions. Simulation is carried out in MATLAB/ SIMULINK software and the results of the leakage current analysis and suppression in PV system are presented.

  12. A HIGHLY ADAPTIVE HOP-BY-HOP LINK-STATE OPTIMAL ROUTING ALGORITHM FOR WIRELESS NETWORKSDownload Article

    *V.Vinisha, *R.Nirmala

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    Link State routing protocols do not view networks in terms of adjacent routers and hop counts, but they build a comprehensive view of the overall network which fully describes the all possible routes along with their costs. Using the SPF (Shortest Path First) algorithm, the router creates a "topological database" which is a hierarchy reflecting the network routers it knows about. It then puts it's self on the top of this hierarchy, and has a complete picture from it's own perspective. Open Shortest Path First (OSPF) and Intermediate System-Intermediate System (IS-IS), split traffic evenly over shortest paths based on link weights. However, optimizing the link weights for OSPF/IS-IS to the offered traffic is a well-known NP-hard problem, and even the best setting of the weights can deviate significantly from an optimal distribution of the traffic. In this paper, we propose a new link-state routing protocol, PEFT that splits traffic over multiple paths with an exponential penalty on longer paths.

  13. APPLICATION OF TAGUCHI METHOD FOR OPTIMIZING TURNING PROCESS BY THE EFFECTS OF MACHINING PARAMETERSDownload Article

    1Mr. Andrew, 2T.G. Bharathi Kumaaran, 3V. Raghupathi

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    This paper reports on an optimization of turning process by the effects of machining parameters applying Taguchi methods to improve the quality of manufactured goods, and engineering development of designs for studying variation. EN24 steel is used as the work piece material for carrying out the experimentation to optimize the Material Removal Rate. The bars used are of diameter 44mm and length 60mm. There are three machining parameters i.e. Spindle speed, Feed rate, Depth of cut. Different experiments are done by varying one parameter and keeping other two fixed so maximum value of each parameter was obtained. Operating range is found by experimenting with top spindle speed and taking the lower levels of other parameters. Taguchi orthogonal array is designed with three levels of turning parameters with the help of software Minitab 15. In the first run nine experiments are performed and material removal rate (MRR) is calculated. When experiments are repeated in second run adain MRR is calculated. Taguchi method stresses the importance of studying the response variation using the signal–to–noise (S/N) ratio, resulting in minimization of quality characteristic variation due to uncontrollable parameter. The metal removal rate was considered as the quality characteristic with the concept of "the larger-the-better". The S/N ratio for the larger-the-better Where n is the number of measurements in a trial/row, in this case, n=1 and y is the measured value in a run/row. The S/N ratio values are calculated by taking into consideration with the help of software Minitab 15. The MRR values measured from the experiments and their optimum value for maximum material removal rate. Every day scientists are developing new materials and for each new material, we need economical and efficient machining. It is also predicted that Taguchi method is a good method for optimization of various machining parameters as it reduces the number of experiments. From the literature survey,it can be seen that there is no work done on EN24 steel. So in this project the turning of EN24 steel is done in order to optimize the turning process parameters for maximizing the material removal rate. Keywords : Taguchi Method, Machining Parameters, Turning Process, EN24 Steel, Software Minitab15.

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