{"title":"Backstepping control for a class of delayed nonlinear systems with input constraints","authors":"A. Kulkarni, S. Purwar","doi":"10.1109/INDCON.2008.4768839","DOIUrl":"https://doi.org/10.1109/INDCON.2008.4768839","url":null,"abstract":"This paper deals with the problem of determination of region of stability for a class of nonlinear systems with delayed state functions and subjected to actuator saturation. A backstepping based controller strategy, along with some additional dynamics to deal with actuator saturation in anti-windup paradigm, is proposed. The stability of closed loop system and ultimate upper boundedness all closed loop signals is proved by constructing a Lyapunov-Krasoviskii functional.","PeriodicalId":196254,"journal":{"name":"2008 Annual IEEE India Conference","volume":"28 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":"115430338","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}
Arpit Gupta, Abhishek Gupta, C. Bocaniala, V. Sastry
{"title":"Avoidance of threat zone by UAV for automated navigation","authors":"Arpit Gupta, Abhishek Gupta, C. Bocaniala, V. Sastry","doi":"10.1109/INDCON.2008.4768780","DOIUrl":"https://doi.org/10.1109/INDCON.2008.4768780","url":null,"abstract":"Unmanned air vehicles (UAV) are considered as technologies of future. Obstacle avoidance is one of the most challenging tasks which the UAV has to perform with high level of accuracy. In this paper, obstacle is considered as a spherical threat zone and a geometric approach is used to develop the algorithm to avoid the collision. The algorithm uses particle swarm optimization (PSO) to evaluate the final parameters of the maneuver. The efficacy and gist of PSO are justified in the paper. The results derived from PSO are verified with other existent mathematical tools to solve a non linear equation. The comparison is done with Mullerpsilas method, Newton-Raphsonpsilas method with Automatic Differentiation and Symbolic differentiation. The algorithm is simulated using Matlab. The level of accuracy and simplicity of the algorithm is demonstrated.","PeriodicalId":196254,"journal":{"name":"2008 Annual IEEE India Conference","volume":"18 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":"127182043","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":"Spanning tree based terrain coverage by multi robots in unknown environments","authors":"K. Senthilkumar, K. K. Bharadwaj","doi":"10.1109/INDCON.2008.4768812","DOIUrl":"https://doi.org/10.1109/INDCON.2008.4768812","url":null,"abstract":"Terrain Coverage algorithms have been studied in the robotics literature and other navigation tasks because of their numerous applications including vacuum cleaning, lawn mowing, harvesting, mine clearing, inspection and intrusion detection. There are several remarkable research attempts on Terrain Coverage based on genetic algorithms, spanning trees, exact cell decomposition, and spiral filling paths. This paper presents a novel simultaneous on-line coverage strategy for multi robots, which is structured and assures complete and robust coverage of the surface regardless of the shape of the unknown environment. In particular, we study ant-robots and how they can cover terrain by leaving markings in the terrain, similar to what ants do. These markings can be sensed by all robots and allow them to cover the unknown terrain without direct communication with each other. A real-time heuristic search method is used to implement ant-robots and simulation results for simultaneous online terrain coverage are presented.","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":"125960281","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":"A wavelet based approach for classification and location of faults in distribution systems","authors":"U. Dwivedi, S.N. Singh, S. Srivastava","doi":"10.1109/INDCON.2008.4768772","DOIUrl":"https://doi.org/10.1109/INDCON.2008.4768772","url":null,"abstract":"Electrical distribution system, which is the largest portion of networks, acts as a final power delivery path to the end users. Hence, ensuring its efficient and reliable operation is an extremely important and challenging task. Utilities, all over the world are competing for improvement in service to consumers, and the area of fault detection and diagnosis in distribution systems have attracted the significant attention of researchers in last few decades. With availability of inadequate system information and presence of high impedance faults, locating faults in a distribution system pose a major challenge to the utility operators. Most of the previous work on fault identification and location concentrated on estimating the status of circuit breakers and relays with aid of some algorithmic approaches. In this paper, a fault identification and location technique using wavelet multi-resolution approach for radial distribution systems are proposed. The current measurements at the substation, available in the distribution network have been utilized and the effectiveness of the proposed approach is demonstrated on 7-node and 19-node three-phase test systems.","PeriodicalId":196254,"journal":{"name":"2008 Annual IEEE India Conference","volume":"85 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":"115353366","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":"Distributed SCADA system for optimization of power generation","authors":"S. R. Valsalam, A. Sathyan, S. Shankar","doi":"10.1109/INDCON.2008.4768828","DOIUrl":"https://doi.org/10.1109/INDCON.2008.4768828","url":null,"abstract":"According to the International Energy Agency (IEA) the worldpsilas energy needs would be well over 50% higher in 2030 than today at an average annual rate of 1.8% per year. Modern Information Technology based Supervisory Control and Data Acquisition Systems (SCADA) assume greater significance in this context to derive maximum efficiency in power plant operations by ensuring optimal use of available resources. In this paper, we present the salient features of scalable, distributed Intelligent SCADA System developed by Centre for Development of Advanced Computing, Thiruvananthapuram and being implemented in a chain of hydel power stations along the Teesta canal in West Bengal. Besides individual plant monitoring and control, the system facilitates co-ordinated remote monitoring and control of three power stations and their associated canal water flow from a central station. The building blocks of our SCADA technology are well proven in Steel plants, Thermal power plants, Power Distribution Automation Systems, Water treatment plants and other Process industries and Transportation systems. The overall philosophy for system development and implementation is one of distributed structure with redundancy built in at all levels. Advanced Human Machine Interface on modern computer systems, Intelligent Process Controllers, Distributed Control Nodes over the field bus and the plant optimization models depict the superiority of the system. Hydel specific optimization modules are implemented to identify and predict in advance the leakage in fluid flow circuits, in order to take counter measures at the appropriate instants. The system tries to utilize optimally the water flow in the canal for maximum power generation from the plants. The implemented system architecture provides a progressive path of adaptive migration to tomorrow's advanced Automation Systems Technology. After the SCADA system implementation, Power Stations -I, II & III has achieved an increase in power generation by utilizing the water at its maximum.","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":"114407470","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":"Resource allocation for packet data in presence of soft handoff and space diversity in cellular CDMA","authors":"D. Das, S. Kundu","doi":"10.1109/INDCON.2008.4768825","DOIUrl":"https://doi.org/10.1109/INDCON.2008.4768825","url":null,"abstract":"Allocation of processing gain for packet data is considered in cellular CDMA. Space diversity provided by antenna array is considered in presence of soft handoff. Throughput and delay analyses of packet data services using variable spreading gain (VSG) CDMA have been carried out in such scenario. The combined effects of soft handoff and space diversity are investigated on optimum allocation of processing gain.","PeriodicalId":196254,"journal":{"name":"2008 Annual IEEE India Conference","volume":"25 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":"123353266","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":"Performance comparison using five ANN methods for classification of EEG signals of two mental states","authors":"V. Khare, J. Santhosh, S. Anand","doi":"10.1109/INDCON.2008.4768792","DOIUrl":"https://doi.org/10.1109/INDCON.2008.4768792","url":null,"abstract":"The Paper demonstrate the comparison of performance by five artificial neural network (ANN) technique (a) Gradient Descent Back Propagation (b) Levenberg-Marquardt (c) Resilient Back Propagation (d) Conjugate Learning Gradient Back Propagation and (e) Gradient Descent Back Propagation with movementum for classification of planning of right hand movement with respect to an awake relaxed state. Wavelet packet transform (WPT) was used for Feature extraction of the relevant electroencephalogram (EEG) signals.","PeriodicalId":196254,"journal":{"name":"2008 Annual IEEE India Conference","volume":"19 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":"121552292","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":"Unbalanced voltage sag correction with dynamic voltage restorer using particle swarm optimization","authors":"D. Kumar, S. Sasitharan, M. Mishra, B. K. Kumar","doi":"10.1109/INDCON.2008.4768757","DOIUrl":"https://doi.org/10.1109/INDCON.2008.4768757","url":null,"abstract":"Voltage sag is a crucial power quality problem. Due to the asymmetry present in occurrence of sags, dealing with unbalanced voltage sag is more complicated. Along with the reduction in voltage magnitude, if phase-jump is accompanied in unbalanced voltage sag, it further complicates the compensation. Power electronic converter loads get seriously deteriorated due to the unbalance present either in magnitude or in phase-angle relationship present between all three phases. Apart from restoring magnitude of the load voltage to the required level, care has to be taken so that balance is maintained in the three phase network. But, taking into consideration the maximum voltage injection constraint of the dynamic voltage restorer (DVR), voltage injection has to be done in an efficient manner so as to find out the best scheme of DVR voltage injection. Particle swarm optimization (PSO) technique is used to find out the optimum configuration for various unbalanced voltage sags with phase-jumps. Numerical examples are included to illustrate the efficacy of the proposed algorithm.","PeriodicalId":196254,"journal":{"name":"2008 Annual IEEE India Conference","volume":"110 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":"124078779","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":"Harmonics and common mode voltage reduction in multilevel SPWM technique","authors":"P. Chaturvedi, S. Jain, P. Agrawal","doi":"10.1109/INDCON.2008.4768765","DOIUrl":"https://doi.org/10.1109/INDCON.2008.4768765","url":null,"abstract":"Conventional 2-level PWM inverters generate high dv/dt and high frequency common mode voltages which is very harmful in electric drives applications. It may damage motor bearings, conducted electromagnetic interferences, and malfunctioning of electronic equipments. This paper presents the simple methods to control the harmonics as well as common mode voltages in multilevel inverters using different structures of sine-triangle comparison method such as phase disposition (PD), phase opposition disposition (POD), and common mode voltage off-set voltage addition method. Simulation results obtained in Matlab/Power System Blockset toolbox confirms the effectiveness of these simple methods to control common mode voltages. Experimental results presented have been obtained using dSpace 1104.","PeriodicalId":196254,"journal":{"name":"2008 Annual IEEE India Conference","volume":"32 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":"124141887","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":"Cross-wavelet transform based feature extraction for classification of noisy partial discharge signals","authors":"D. Dey, B. Chatterjee, S. Chakravorti, S. Munshi","doi":"10.1109/INDCON.2008.4768774","DOIUrl":"https://doi.org/10.1109/INDCON.2008.4768774","url":null,"abstract":"Partial discharge detection and classification are important for safety and reliability of power equipment. A novel cross-wavelet transform based technique is used in this work for feature extraction from partial discharge signals. Results show that cross-wavelet transform eliminates the effect of random, real-life noises and therefore the partial discharge patterns can be classified properly from the noisy waveforms. Different partial discharge patterns are recorded from the various samples prepared with known defects. Features are extracted from the raw noisy data and a rough-set based classifier is used to classify the patterns. Efficient classification of the patterns justifies the approach.","PeriodicalId":196254,"journal":{"name":"2008 Annual IEEE India Conference","volume":"20 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":"126303252","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}