{"title":"A novel wavelet assisted neural network for transmission line fault analysis","authors":"P. Bhowmik, P. Purkait, K. Bhattacharya","doi":"10.1109/INDCON.2008.4768830","DOIUrl":"https://doi.org/10.1109/INDCON.2008.4768830","url":null,"abstract":"In this modern era, electric power has become the basic need for the business world. The quality and reliability of power needs to be maintained for obtaining optimum performance. Now-a-days power has also become a business commodity. Hence, faultless and lossless transmission and distribution of power is necessary. Power faults must be identified quickly from various sources (eg. information from relays etc.) and corrected as soon as possible. Advanced signal processing tools such as discrete wavelet transform (DWT) can be used very effectively for parameterization and characterization of the fault signals. On the other hand, properly configured neural network (NN) can be utilized for classification of the faults based on the DWT signal. Presently Electromagnetic Transient Program (EMTP) is used for simulation of a model transmission system and DWT and NN is performed using MATLAB. Faults of various types at different locations along the transmission line have been simulated and attempts have been made to correctly identify and locate the fault.","PeriodicalId":196254,"journal":{"name":"2008 Annual IEEE India Conference","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127057149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of fractional derivative in control functions","authors":"M. Yahyazadeh, Mohammad Haeri","doi":"10.1109/INDCON.2008.4768835","DOIUrl":"https://doi.org/10.1109/INDCON.2008.4768835","url":null,"abstract":"Application of fractional derivative in control problems such as sliding surface design in sliding mode control, training of MLP in neural networks, and parameters updating in model reference adaptive control is studied in this paper. Use of the fractional derivative increases possibility of improving the control performance by reducing the convergence time in the mentioned control problems. This gain is attained due to the higher degree of freedom exist in the fractional dynamical systems. We study such control problems by replacing the integer order derivative with the fractional order derivative. The performance of the proposed methods is illustrated through computer simulations of gyro and ball and beams systems.","PeriodicalId":196254,"journal":{"name":"2008 Annual IEEE India Conference","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134142321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cooperative control of a dual-motor ball and beam system","authors":"M. Gunasekaran, R. Potluri","doi":"10.1109/INDCON.2008.4768779","DOIUrl":"https://doi.org/10.1109/INDCON.2008.4768779","url":null,"abstract":"We describe here a dual-motor ball and beam experimental setup that we built in the Networked Control Systems laboratory in the Department of Electrical Engineering at IIT Kanpur. This setup will serve as a testbed for various cooperative control and other control strategies that we plan to evaluate or develop in our lab. We present results from the application of two cooperative control strategies on this setup. We also describe the control-theoretic lessons we learned from building and running this setup that we could not have learned from a purely simulation-based study of the cooperative control strategies.","PeriodicalId":196254,"journal":{"name":"2008 Annual IEEE India Conference","volume":"135 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132081687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design and simulation of a matrix converter-fed scalar controlled synchronous motor drive","authors":"P. Kulkarni, M.T. Abraham, S.P. Das","doi":"10.1109/INDCON.2008.4768803","DOIUrl":"https://doi.org/10.1109/INDCON.2008.4768803","url":null,"abstract":"Matrix converter is an ac/ac converter without a dc link. It acts much the same way as a cycloconverter, but with better harmonic profile, large range of output frequency and controllable input displacement factor. A synchronous motor is used in many industrial applications such as cement kilns, mine winders, etc. Although synchronous motors are mostly used for high power applications, the matrix converter can also be used to drive a permanent magnet synchronous motor with suitable modification for medium power applications. The present paper proposes a scalar control scheme for a wound field synchronous motor fed from a matrix converter. The scheme is based on steady state phasor diagram of the synchronous motor, and results in unity motor displacement power factor during operation. A suitable PI controller for closed-loop speed control is designed. Subsequently, a modified V/f scheme which ensures unity power factor (UPF) at high speeds is proposed. The simulation results for the proposed control scheme are verified.","PeriodicalId":196254,"journal":{"name":"2008 Annual IEEE India Conference","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124827831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"8 State Rate 2/3 TCM code design for fading channel","authors":"R. Goswami, G. Rao, R. Babu","doi":"10.1109/INDCON.2008.4768743","DOIUrl":"https://doi.org/10.1109/INDCON.2008.4768743","url":null,"abstract":"In designing of any digital communication system, coding and modulation are generally treated as two independent functions. The role of modulator and demodulator is restricted primarily to convert an analog waveform channel to a discrete channel and the role of encoder and decoder is to correct the errors those occurred in this discrete channel. To achieve the higher performance, code rate is lowered and the redundancy in the code increased at the cost of bandwidth expansion. This code can be integrated with the expanded bandwidth efficient signal set so as to utilize the redundancy resulted from such an expansion in order to avoid bandwidth expansion. The convolutional code when integrated with a bandwidth efficient modulation scheme is termed as Trellis Coded Modulation (TCM). TCM is a bandwidth efficient transmission scheme that can achieve high coding gain by integrating coding and modulation. It was discovered in the late 1970s and is presently used in many systems for modern information transmission. In this paper, a new scheme has been proposed for designing 8 State Rate 2/3 TCM code for fading Channel.","PeriodicalId":196254,"journal":{"name":"2008 Annual IEEE India Conference","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126813809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multi agent based optimal arrest and guidance of a prismatic 2D object avoiding obstacles","authors":"A. Dutta, A. Saxena, P. Sharma, S.P. Singh","doi":"10.1109/INDCON.2008.4768810","DOIUrl":"https://doi.org/10.1109/INDCON.2008.4768810","url":null,"abstract":"A GA based method is proposed to obtain the optimal capture points for constraining a moving prismatic 2D object using multi agents and then transporting it to a desired goal point. Frictionless point contact at the mobile robot and object interface is assumed and form closure is obtained using accessibility angle. An objective function is optimized that minimizes the contact forces and the number of robots required for form closure. The robots first avoid obstacles and converge on the C- space surrounding the object. After the object is captured the mobile robots reorient themselves optimally on two of the edges that have the least opposite angles with the direction of desired motion. Projective path planning is then used to check for obstacles in between the object and its goal point. Collision free path to the goal points is determined in parts and the robots push the object along the sequence of paths after appropriate reorientation around the object. Simulation results prove the effectiveness of the proposed method. The main contributions of the proposed method as compared to earlier research are that resources are conserved because an optimal number of agents are used, resulting in lower energy consumption and minimum networking problems.","PeriodicalId":196254,"journal":{"name":"2008 Annual IEEE India Conference","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128425868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Karthikeyan, V. Verma, D. Agrawal, R. Jacob, D. Kothari
{"title":"Assessment of Distribution System Feeder and its Reconfiguration using fuzzy adaptive evolutionary computing","authors":"S. Karthikeyan, V. Verma, D. Agrawal, R. Jacob, D. Kothari","doi":"10.1109/INDCON.2008.4768833","DOIUrl":"https://doi.org/10.1109/INDCON.2008.4768833","url":null,"abstract":"Distribution system automation (DSA) is being carried out very seriously world over to enhance the reliability of the system and to minimize the huge losses that are occurring in the distribution system. With the fast-paced changing technologies in the distribution sector, the automation of distribution system is unavoidable. Feeder reconfiguration (FR) is one of the vital operations to be carried out in successful implementation of the DSA. FR can be varied so that the load is supplied at the cost of possible minimal line losses, increased system security and enhanced power quality. Several attempts have been made in the past to obtain an optimal feeder configuration for minimizing losses in distribution systems. Feeder reconfiguration (FR) is an important sub-problem of the overall distribution system automation process. To get the optimized system configuration, first step is to detect whether the system is abnormal enough to have any other configuration from present case. To serve this purpose, S-difference criterion is proposed to detect whether the system is making transition from normal to abnormal state of operation. After detecting the abnormality, the situation arises to find whether the line through which the power is going to be rerouted can sustain the increment. This is identified by calculating the availability transfer capability (ATC) of the lines in the system. Linear and modified ATC has been proposed in this paper to serve the required purpose. After assessing the state of the system, its reconfiguration is done by fuzzy adaptation of evolutionary computing, to get the optimized system performance. Fuzzy adaptation has been introduced to take into account the grey area between various parameters considered and the obtained result is supposed to satisfy all the constraints to the optimum degree of fuzzy membership function. Vellore 75 bus real distribution system has been used as a test system for simulation purposes.","PeriodicalId":196254,"journal":{"name":"2008 Annual IEEE India Conference","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131038855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retinal vessel segmentation using spatially weighted fuzzy c-means clustering and histogram matching","authors":"G. Kande, T. Savithri, P. Subbaiah","doi":"10.1109/INDCON.2008.4768791","DOIUrl":"https://doi.org/10.1109/INDCON.2008.4768791","url":null,"abstract":"This paper presents a novel approach for automated segmentation of the vasculature in retinal images. The approach uses the intensity information from red and green channels of the same retinal image to correct nonuniform illumination in colour fundus images. Matched filtering is utilized to enhance the contrast of blood vessels against the background. The enhanced blood vessels are then segmented by employing spatially weighted fuzzy c-means clustering based thresholding which can well maintain the spatial structure of the vascular tree segments. Experimental results of the proposed method using STARE and DRIVE databases are superior to previously reported unsupervised methods and comparable to those obtained with the supervised methods.","PeriodicalId":196254,"journal":{"name":"2008 Annual IEEE India Conference","volume":"18 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120902162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hybrid audio watermarking with spread spectrum and singular value decomposition","authors":"A. Dhawan, S. Mitra","doi":"10.1109/INDCON.2008.4768793","DOIUrl":"https://doi.org/10.1109/INDCON.2008.4768793","url":null,"abstract":"Research in the field of audio watermarking is very important in the current digital world. With growing access to digital media, ownership rights are very critical. We propose an algorithm for watermarking of digital audio content using spread spectrum and singular value decomposition for copyright protection. It is desired to find an optimal balance between the inaudibility of the watermark and its robustness while embedding and extracting the watermark. To make such a scheme applicable, a significant requirement is the robustness of the scheme to a broad category of intentional & unintentional attacks while keeping in mind the important constraints like inaudibility, security, and reliability.","PeriodicalId":196254,"journal":{"name":"2008 Annual IEEE India Conference","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133281116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Discrete wavelet transform and probabilistic neural network based algorithm for classification of fault on transmission systems","authors":"J. Upendar, C. P. Gupta, G. Singh","doi":"10.1109/INDCON.2008.4768827","DOIUrl":"https://doi.org/10.1109/INDCON.2008.4768827","url":null,"abstract":"This paper presents the development of an algorithm based on discrete wavelet transform (DWT) and probabilistic neural network (PNN) for classifying the power system faults. The proposed technique consists of a preprocessing unit based on discrete wavelet transform in combination with PNN. The DWT acts as extractor of distinctive features in the input current signal, which are collected at source end. The information is then fed into PNN for classifying the faults. It can be used for off-line process using the data stored in the digital recording apparatus. Extensive simulation studies carried out using MATLAB show that the proposed algorithm not only provides an accepted degree of accuracy in fault classification under different fault conditions but it is also reliable, fast and computationally efficient tool.","PeriodicalId":196254,"journal":{"name":"2008 Annual IEEE India Conference","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129102441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}