{"title":"Performance study of multiresolution PI controller for third order system","authors":"R. Paul, A. Sengupta","doi":"10.1109/CMI.2016.7413742","DOIUrl":"https://doi.org/10.1109/CMI.2016.7413742","url":null,"abstract":"This paper deals with the development of a three term controller with varying resolution applicable to a standard third order plant. In the proposed controller, multi resolution property of WT is employed to decompose the error signal into frequency components at different levels of the decomposition. The values thus obtained are weighted by tuned constants and summed up to yield the final driving output. Calculated performance quotients infer that the designed one needs lesser time to attain specified time domain response as well as improved extraneous disturbance suppression potency compared to conventional counterpart. Also the same has an ability to provide smooth control signal. National Instruments (NI) LabVIEW software is used to develop this controller.","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121211681","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":"Disturbance observer based optimal second order sliding mode controller for nonlinear systems with mismatched uncertainty","authors":"M. Das, C. Mahanta","doi":"10.1109/CMI.2016.7413771","DOIUrl":"https://doi.org/10.1109/CMI.2016.7413771","url":null,"abstract":"The paper aims to design an optimal second order sliding mode controller for the nonlinear system affected by mismatched uncertainties. Control Lyapunov function (CLF) based methodology is proposed to design an optimal controller for the known part of nonlinear system. The Lyapunov function and the performance index are chosen in such a way that the optimal controller should minimize the control effort. As the optimal controller is highly sensitive to the system uncertainty, a sliding mode controller is integrated with the optimal controller to tackle it. As the conventional sliding mode controller cannot tackle the mismatched disturbance, a disturbance observer is proposed to estimate the disturbance. But the first order sliding mode control is inapplicable to practical system due to the chattering. An optimal second order sliding mode controller proposed in this paper reduces the same. Simulation results ensure that the suggested controller is enable to reduce the control effort as well as chattering phenomenon.","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"37 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113980550","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":"Parameters affecting the switching life in HPF self ballasted lamps","authors":"A. Mukherjee, A. Soni","doi":"10.1109/CMI.2016.7413719","DOIUrl":"https://doi.org/10.1109/CMI.2016.7413719","url":null,"abstract":"This paper explores the impact of high power factor (HPF) on the life of self-ballasted lamps or commonly referred as CFLs. In HPF CFLs the lamp current crest factor is usually very high. From the research work done so far it is well understood that the high current crest factor is detrimental for the life of lamp electrodes. The work done in this paper provides information about the filament current crest factor with corresponding change in electrode temperature. The lamps used for these experiment are switched on and off with sufficient time given to cool the lamp electrodes. The degradation of the lamp life with respect to filament current crest factor and electrode temperature are plotted and analysed. The best fit is obtained for the set of experiments conducted. From the set of results obtained a mathematical equation is derived. This work serves an important aspect of HPF circuitry and their corresponding drawback in addressing lifetime issues of CFLs.","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116522262","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}
V. Kumar, S. Albert, N. Chandrasekhar, J. Jayapandian, M. V. Venkatesan
{"title":"Performance analysis of arc welding parameters using self organizing maps and probability density distributions","authors":"V. Kumar, S. Albert, N. Chandrasekhar, J. Jayapandian, M. V. Venkatesan","doi":"10.1109/CMI.2016.7413738","DOIUrl":"https://doi.org/10.1109/CMI.2016.7413738","url":null,"abstract":"During welding, random variations in current and voltage occur, which cannot be recorded with ordinary ammeter and voltmeter. Acquisition of voltage and current signals while welding is in progress at a very high speed using digital storage oscilloscope (DSO) and subsequent analysis of the stored data can be very useful to understand the arc welding process. In the present study, welding data were acquired for two inverter and two generator power sources while welding with two different electrodes using a DSO at the sampling rate of 100000 samples/s. This data was filtered using the Fast Fourier Transform (FFT) low pass filter and subjected to time domain and statistical analysis. Probability Density Distributions (PDDs) and artificial neural network comprising of Self Organizing Maps (SOM) were used to evaluate performance of power sources and welders. This paper explores the use of self-organizing maps as a mechanism for performing unsupervised learning for comparing performance characteristics of various welding parameters which includes welding power supplies and welders. Results obtained using SOM has been compared with the PDDs obtained during statistical analysis. Finally it is shown that in addition to PDD, analysis of voltage and current data using SOM technique can also be used to evaluate the arc welding process.","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133661421","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":"Assessment of DC servo motor with sliding mode control approach","authors":"M. Qureshi, P. Swarnkar, Sushma Gupta","doi":"10.1109/CMI.2016.7413769","DOIUrl":"https://doi.org/10.1109/CMI.2016.7413769","url":null,"abstract":"This paper contracts with the specific type of robust control i.e., sliding mode control for position and speed controlling of a DC servo motor. The paper contributes synthesis and investigation of DC servo motor with sliding mode controller and conventional PI controller. Modeling and simulations are carried out and their enactment is assessed in steady as well as in transient state. Subsequently the DC servo motor drive is sensitive to parameter variation and load disturbance, a robust control methodology based on sliding mode is comprehended. The planned sliding mode controller results are compared with conventional PI controller with no load and on load condition. The usefulness of the projected methodology is demonstrated by performing simulations using MATLAB tool. The simulation results exhibit that the role of sliding mode based scheme is more robust than fixed gain controller.","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131801820","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":"Adaptive force tracking in electrohydraulic system with first-order sliding mode control","authors":"S. Chaudhuri, S. Mookherjee, D. Sanyal","doi":"10.1109/CMI.2016.7413759","DOIUrl":"https://doi.org/10.1109/CMI.2016.7413759","url":null,"abstract":"An approximate system model for force tracking has been formulated here for a low-cost electrohydraulic system with a moderate-friction single-rod cylinder and a large-deadband proportional valve. A controller based on first-order sliding mode along with adaptation of controller parameters through Lyapunov functions has been developed to tackle the severe nonlinearities of the system. The system model has been recast in an input linearized form to develop the controller. A number of real-time experimental studies clearly established the controller as quite satisfactory.","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123860909","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. Sen, Shouvik Chakraborty, A. Dhar, A. Sutradhar
{"title":"Two-stage adaptive sliding-mode controller for vehicle yaw stability using differential ABS","authors":"S. Sen, Shouvik Chakraborty, A. Dhar, A. Sutradhar","doi":"10.1109/CMI.2016.7413705","DOIUrl":"https://doi.org/10.1109/CMI.2016.7413705","url":null,"abstract":"With increasing number of on-road transportation vehicles, the demand for passenger safety and comfort is inevitable. This inspired to develop technologically sophisticated automobiles with active safety systems that provide improved vehicle handling during critical driving situations. Yaw stability controller prevents the vehicle from spinning and drifting-out under loss of traction during a turning maneuver. This paper presents a controller design based on sliding mode principle with two-stage sliding surfaces considering yaw rate and body sideslip angle errors as primary and secondary surfaces respectively. A simplified model of the vehicle during a turning (Slalom + DLC) maneuver is been considered and the dynamic equations of the desired states were summed up and used to design the sliding surface. Computer simulations have been conducted to verify the proposed approach, with results indicating its effectiveness and robustness for yaw stability control.","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125418592","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}
Kishore Chimmula, Soumen Sen, Siva Ram KrishnaVadali
{"title":"Characterizing the composite noise of a camera used as a sensor for position estimation","authors":"Kishore Chimmula, Soumen Sen, Siva Ram KrishnaVadali","doi":"10.1109/CMI.2016.7413782","DOIUrl":"https://doi.org/10.1109/CMI.2016.7413782","url":null,"abstract":"This article presents the characterization of inherent composite noise of a camera based position measurement system. Such an examination is needed to use a camera system as the position measurement sensor for direct implementation in Kalman filter based positional trajectory estimation of moving objects. Time and frequency domain analysis are carried out to characterize the noise in units of measured position values. The qualification of the noise to be White and Gaussian (WGN) makes it possible to use the position measurements for optimal estimation in a Kalman filter like estimation procedure. Further the observation is justified with an experiment of position tracking and subsequent trajectory estimation of a ball thrown under gravity with the help of linear kinematic model.","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129228366","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":"Dissimilarity factor based classification of inferior myocardial infarction ECG","authors":"Rajarshi Gupta, P. Kundu","doi":"10.1109/CMI.2016.7413745","DOIUrl":"https://doi.org/10.1109/CMI.2016.7413745","url":null,"abstract":"Electrocardiography (ECG) is popular non-invasive technique for preliminary level investigation on cardiovascular assessment. Computerized analysis of ECG can significantly contribute towards assisted diagnosis and in early detection of many cardiac diseases. Conventional automated ECG classifiers employing soft computing tools may suffer from the inaccuracies that may result in different clinical feature extraction stages. In this paper, we propose the use of a statistical index, namely, dissimilarity factor (D) for classification of normal and Inferior Myocardial Infarction (IMI) data, without the need of any direct clinical feature extraction. Time aligned ECG beats were obtained through filtering, wavelet decomposition processes, followed by PCA based beat enhancement to generate multivariate time series data. The T wave and QRS segments of IMI datasets from Lead II, III and aVF were extracted and compared with corresponding segments of healthy patients using Physionet ptbdb data. With 35 IMI datasets, the average composite dissimilarity factor Dc between normal data was found to be 0.39, and the same between normal and abnormal data were found to be 0.65. This paper shows the promise of descriptive statistical tools as an alternative for medical signal analysis.","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131384444","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":"Recognition of harmonic sources in distribution network using fractal analysis","authors":"Ayani Nandi, S. Debnath","doi":"10.1109/CMI.2016.7413722","DOIUrl":"https://doi.org/10.1109/CMI.2016.7413722","url":null,"abstract":"One of the most important power quality problems is harmonic pollution in power system. In recent years there has been an increase in voltage and current distortion in the distribution network due to the extensive use of power electronic and computer controlled devices. In this paper, using fractal analysis the source of harmonic pollution has been identified in a radial power system distribution network. The fractal technique provides both time and spectral information of the nonlinear load harmonic patterns. The network is simulated using EMTP/ ATP software. Simulation results have been presented which show that the proposed method can successfully identify the location of the harmonic source in case of a single harmonic source and location of dominant source of harmonic pollution in case of multiple harmonic sources in the system.","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131500187","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}