Pub Date : 2017-10-01DOI: 10.1109/CERA.2017.8343319
S. Khatoon, Huma Khan
This research paper presents the design of Fibonacci pattern based Solar Tree and conventional photo-voltaic system. Day by day the greatest crisis becoming on the earth is Land even though in some countries it is already a biggest crisis. The conventional photo-voltaic system is a land consuming system whereas Solar Tree is based on a tall pole like structure with branches and leaves as panels and it takes only 1% of the land than traditional or classical solar system. Building the solar tree can be very beneficial for the improving efficiency of solar power system. The tests have been performed on the Fibonacci pattern based solar tree and conventional solar panel under the sun light. This technology leads to the development of high efficiency solar panels in the form of solar tree. This work improves the method of collection of sunlight in Fibonacci pattern based Solar Trees.
{"title":"Comparative study of Fibonacci pattern and conventional pattern of solar cell","authors":"S. Khatoon, Huma Khan","doi":"10.1109/CERA.2017.8343319","DOIUrl":"https://doi.org/10.1109/CERA.2017.8343319","url":null,"abstract":"This research paper presents the design of Fibonacci pattern based Solar Tree and conventional photo-voltaic system. Day by day the greatest crisis becoming on the earth is Land even though in some countries it is already a biggest crisis. The conventional photo-voltaic system is a land consuming system whereas Solar Tree is based on a tall pole like structure with branches and leaves as panels and it takes only 1% of the land than traditional or classical solar system. Building the solar tree can be very beneficial for the improving efficiency of solar power system. The tests have been performed on the Fibonacci pattern based solar tree and conventional solar panel under the sun light. This technology leads to the development of high efficiency solar panels in the form of solar tree. This work improves the method of collection of sunlight in Fibonacci pattern based Solar Trees.","PeriodicalId":286358,"journal":{"name":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126013023","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}
Pub Date : 2017-10-01DOI: 10.1109/CERA.2017.8343294
S. Mudaliyar, Sukumar Mishra, R. Sharma
Proton Exchange Membrane Fuel Cells (PEMFC) show great potential as a distributed generator in microgrid applications. However, physical constraints impinge PEMFC to follow rapid load following and often requires a supplementary energy storage such as battery or a supercapacitor for such assistance. This paper proposes MicroTurbine (MT) as an alternative over battery or supercapacitor based energy storage, to be used, not only to meet the transient part of the load but also the steady state. Proper, electrical and thermal integration of PEMFC and MT is critical for its successful implementation and industry acceptance. This paper focuses on the electrical integration of the systems and presents simple control strategies for load following operations in autonomous and grid connected modes. Controllers are designed using conventional loop gain technique. Both PEMFC and MT are modeled in MATLAB/Simulink environment. Simulation results verify the effectiveness of the designed controllers under both the modes of operation.
{"title":"Load following capability of fuel cell-microturbine based hybrid energy system for microgrid operation","authors":"S. Mudaliyar, Sukumar Mishra, R. Sharma","doi":"10.1109/CERA.2017.8343294","DOIUrl":"https://doi.org/10.1109/CERA.2017.8343294","url":null,"abstract":"Proton Exchange Membrane Fuel Cells (PEMFC) show great potential as a distributed generator in microgrid applications. However, physical constraints impinge PEMFC to follow rapid load following and often requires a supplementary energy storage such as battery or a supercapacitor for such assistance. This paper proposes MicroTurbine (MT) as an alternative over battery or supercapacitor based energy storage, to be used, not only to meet the transient part of the load but also the steady state. Proper, electrical and thermal integration of PEMFC and MT is critical for its successful implementation and industry acceptance. This paper focuses on the electrical integration of the systems and presents simple control strategies for load following operations in autonomous and grid connected modes. Controllers are designed using conventional loop gain technique. Both PEMFC and MT are modeled in MATLAB/Simulink environment. Simulation results verify the effectiveness of the designed controllers under both the modes of operation.","PeriodicalId":286358,"journal":{"name":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","volume":"207 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133504106","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}
Pub Date : 2017-10-01DOI: 10.1109/CERA.2017.8343378
Sushil K. Surwase, Devyani Varshney, N. Patel, M. Bhushan
Nonlinear state estimation is a pre-requisite for advanced process control and fault diagnosis tasks. In literature, various recursive nonlinear filtering techniques have been proposed and used for state estimation of nonlinear systems. Over the last few years, Moving Horizon Estimation (MHE) is increasingly being used for state estimation of nonlinear systems. Moving horizon estimation works with a window of data and hence requires additional online computation compared to recursive nonlinear filters. However, MHE performs both smoothing and filtering and thus has the potential to obtain more accurate state estimates as compared to the recursive filters. Most of the available comparisons of MHE with recursive filters are based on simulation case studies where the true states and parameters, as well as noise processes are exactly known. In this work, we apply MHE to a three-tank experimental setup and compare its performance with various nonlinear filters available in literature such as Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF) and Gaussian Sum EKF (GSEKF). We present some of the challenges in experimental implementation of state estimation approaches. These include presence of unknown disturbances, non-whiteness of noise signals as well as lack of accurate measurements. We then discuss the approach followed for obtaining model parameters and noise characterization to make the models amenable for filter implementation. It is found that EKF, GSEKF and UKF perform as well as MHE as far as accuracy is concerned, but require significantly lower computational efforts.
{"title":"Nonlinear state estimation for three tank experimental setup: A comparative evaluation","authors":"Sushil K. Surwase, Devyani Varshney, N. Patel, M. Bhushan","doi":"10.1109/CERA.2017.8343378","DOIUrl":"https://doi.org/10.1109/CERA.2017.8343378","url":null,"abstract":"Nonlinear state estimation is a pre-requisite for advanced process control and fault diagnosis tasks. In literature, various recursive nonlinear filtering techniques have been proposed and used for state estimation of nonlinear systems. Over the last few years, Moving Horizon Estimation (MHE) is increasingly being used for state estimation of nonlinear systems. Moving horizon estimation works with a window of data and hence requires additional online computation compared to recursive nonlinear filters. However, MHE performs both smoothing and filtering and thus has the potential to obtain more accurate state estimates as compared to the recursive filters. Most of the available comparisons of MHE with recursive filters are based on simulation case studies where the true states and parameters, as well as noise processes are exactly known. In this work, we apply MHE to a three-tank experimental setup and compare its performance with various nonlinear filters available in literature such as Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF) and Gaussian Sum EKF (GSEKF). We present some of the challenges in experimental implementation of state estimation approaches. These include presence of unknown disturbances, non-whiteness of noise signals as well as lack of accurate measurements. We then discuss the approach followed for obtaining model parameters and noise characterization to make the models amenable for filter implementation. It is found that EKF, GSEKF and UKF perform as well as MHE as far as accuracy is concerned, but require significantly lower computational efforts.","PeriodicalId":286358,"journal":{"name":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134427624","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}
Pub Date : 2017-10-01DOI: 10.1109/CERA.2017.8343332
M. Tripathy
This paper presents an amalgamated wavelet and neural network based transformer condition monitoring and protection scheme for Indirect Unsymmetrical Phase Shift Transformer (IUPST) that is either connected in the classical method (87P and 87S) or like total differential protection method (87T). The proposed algorithm is used to discriminate different condition and when internal fault is identified than it will classify the type of internal fault occurred in IUPST. In this method, the transient phenomena of an IUPST including magnetizing inrush, sympathetic inrush, over-excitation, external fault and internal fault (either at series unit or at exciting unit) are simulated in PSCAD/EMTDC and implemented in MATLAB respectively. Discrete wavelet transform is applied to decompose compensated relaying signal of IUPST into series of detailed wavelet components and then Db4 coefficients and dead angle of the wavelet energy waveform (WEW) are employed to train optimal Feed Forward Back-propagation Neural Network (FFBNN). Result clearly shows that the proposed algorithm can accurately classify all the operating condition and able to recognize the type of internal fault occurred in IUPST.
{"title":"A novel scheme for condition monitoring of indirect unsymmetrical phase shift transformer","authors":"M. Tripathy","doi":"10.1109/CERA.2017.8343332","DOIUrl":"https://doi.org/10.1109/CERA.2017.8343332","url":null,"abstract":"This paper presents an amalgamated wavelet and neural network based transformer condition monitoring and protection scheme for Indirect Unsymmetrical Phase Shift Transformer (IUPST) that is either connected in the classical method (87P and 87S) or like total differential protection method (87T). The proposed algorithm is used to discriminate different condition and when internal fault is identified than it will classify the type of internal fault occurred in IUPST. In this method, the transient phenomena of an IUPST including magnetizing inrush, sympathetic inrush, over-excitation, external fault and internal fault (either at series unit or at exciting unit) are simulated in PSCAD/EMTDC and implemented in MATLAB respectively. Discrete wavelet transform is applied to decompose compensated relaying signal of IUPST into series of detailed wavelet components and then Db4 coefficients and dead angle of the wavelet energy waveform (WEW) are employed to train optimal Feed Forward Back-propagation Neural Network (FFBNN). Result clearly shows that the proposed algorithm can accurately classify all the operating condition and able to recognize the type of internal fault occurred in IUPST.","PeriodicalId":286358,"journal":{"name":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132570724","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}
Pub Date : 2017-10-01DOI: 10.1109/CERA.2017.8343382
Ankur G. Gajjar, Alpesh I. Patel, Raviprakash G. Singh
Temperature is the most critical parameter to ensure the proper cleaning of beverage containers in bottle washer machine. The requirement and importance of temperature control of different treatment zones of bottle washer machine for small scale beverage industry has been discussed. The sample water heating tank has been considered as the treatment zone of the bottle washer machine. The temperature control of the sample water heating tank with VIPA 315-SB PLC using PID control has been discussed and implemented. Two tuning methods for PID control, namely Ziegler Nichols tuning and auto-tuning have been discussed and implemented. The novel approach for implementation of MPC using OPC server and MATLAB as an OPC client has been discussed and implemented for sample water heating tank system. The comparison between PID and MPC temperature control schemes have been shown in terms various performance indices. The results show that MPC provides better control and better performance compared to PID control scheme.
{"title":"Real time implementation of MPC in bottle washer machine for small scale beverage industry","authors":"Ankur G. Gajjar, Alpesh I. Patel, Raviprakash G. Singh","doi":"10.1109/CERA.2017.8343382","DOIUrl":"https://doi.org/10.1109/CERA.2017.8343382","url":null,"abstract":"Temperature is the most critical parameter to ensure the proper cleaning of beverage containers in bottle washer machine. The requirement and importance of temperature control of different treatment zones of bottle washer machine for small scale beverage industry has been discussed. The sample water heating tank has been considered as the treatment zone of the bottle washer machine. The temperature control of the sample water heating tank with VIPA 315-SB PLC using PID control has been discussed and implemented. Two tuning methods for PID control, namely Ziegler Nichols tuning and auto-tuning have been discussed and implemented. The novel approach for implementation of MPC using OPC server and MATLAB as an OPC client has been discussed and implemented for sample water heating tank system. The comparison between PID and MPC temperature control schemes have been shown in terms various performance indices. The results show that MPC provides better control and better performance compared to PID control scheme.","PeriodicalId":286358,"journal":{"name":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122304326","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}
Pub Date : 2017-10-01DOI: 10.1109/CERA.2017.8343385
Anupam Kumar, Prashant J. Gaidhane, Vijay Kumar
The Redundant robotic systems are multi-input multi-output (MIMO), highly nonlinear and coupled systems. In presence of un-modeled dynamics such as parameter variation and external disturbance, the performance of the system is badly affected. Consequently, robust controller design for these systems is an intriguing task for control researcher to handle such complexities present in the system. This research study presents the nonlinear fractional order PID (NL-FOPID) controller for 5-DOF redundant robot manipulator for joint trajectory tracking task. The optimal controller parameters are achieved using recent artificial bees colony (ABC) optimization technique. For examining the effectiveness of the NL-FOPID controller, the robustness testing is also investigated for parameters variation and external disturbance. After many numerical simulations, the simulation results clearly show that the performances of proposed NL-FOPID controller are superior to nonlinear PID (NL-PID) controller, and traditional linear PID.
{"title":"A nonlinear fractional order PID controller applied to redundant robot manipulator","authors":"Anupam Kumar, Prashant J. Gaidhane, Vijay Kumar","doi":"10.1109/CERA.2017.8343385","DOIUrl":"https://doi.org/10.1109/CERA.2017.8343385","url":null,"abstract":"The Redundant robotic systems are multi-input multi-output (MIMO), highly nonlinear and coupled systems. In presence of un-modeled dynamics such as parameter variation and external disturbance, the performance of the system is badly affected. Consequently, robust controller design for these systems is an intriguing task for control researcher to handle such complexities present in the system. This research study presents the nonlinear fractional order PID (NL-FOPID) controller for 5-DOF redundant robot manipulator for joint trajectory tracking task. The optimal controller parameters are achieved using recent artificial bees colony (ABC) optimization technique. For examining the effectiveness of the NL-FOPID controller, the robustness testing is also investigated for parameters variation and external disturbance. After many numerical simulations, the simulation results clearly show that the performances of proposed NL-FOPID controller are superior to nonlinear PID (NL-PID) controller, and traditional linear PID.","PeriodicalId":286358,"journal":{"name":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123481706","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}
Pub Date : 2017-10-01DOI: 10.1109/CERA.2017.8343386
D. Sharma, A. H. Bhat, Aijaz Ahmad
This paper presents an artificial neural network (ANN)-based space vector pulse width modulation (SVPWM) control approach for better performance of three-phase Improved Power Quality Converters (IPQCs) for distorted and unbalanced AC Mains. The neural-network based controller offers the advantages of very fast implementation of the SVPWM algorithm for disturbed supply. The proposed scheme employs a three-layer feed-forward neural network which receives the command error voltage and line currents information at the input side to retransform the Clarke transformation for generating reference vector trajectory. The neural-network-based modulator retransforms the Clarke transformation to distribute the switching times for each device in each leg to have balanced line currents with nearly unity input power factor, low input current THD and reduced ripple factor of the regulated DC output voltage.
{"title":"ANN based SVPWM for three-phase improved power quality converter under disturbed AC mains","authors":"D. Sharma, A. H. Bhat, Aijaz Ahmad","doi":"10.1109/CERA.2017.8343386","DOIUrl":"https://doi.org/10.1109/CERA.2017.8343386","url":null,"abstract":"This paper presents an artificial neural network (ANN)-based space vector pulse width modulation (SVPWM) control approach for better performance of three-phase Improved Power Quality Converters (IPQCs) for distorted and unbalanced AC Mains. The neural-network based controller offers the advantages of very fast implementation of the SVPWM algorithm for disturbed supply. The proposed scheme employs a three-layer feed-forward neural network which receives the command error voltage and line currents information at the input side to retransform the Clarke transformation for generating reference vector trajectory. The neural-network-based modulator retransforms the Clarke transformation to distribute the switching times for each device in each leg to have balanced line currents with nearly unity input power factor, low input current THD and reduced ripple factor of the regulated DC output voltage.","PeriodicalId":286358,"journal":{"name":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121708833","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}
Pub Date : 2017-10-01DOI: 10.1109/CERA.2017.8343371
Sudharsana Rao Potturu, R. Prasad
This paper presents a model order reduction technique based on Kharitonov polynomials. The reduced order interval models are determined by using Kharitonov polynomials and differentiation method. This method is computationally simple and always gives stable results. The performance of this method measured in terms of integral squire error (ISE). Numerical examples are given, that shows that the proposed algorithm is quite comparable with other existing methods.
{"title":"Reduction of interval systems using Kharitonov's polynomials and their derivatives","authors":"Sudharsana Rao Potturu, R. Prasad","doi":"10.1109/CERA.2017.8343371","DOIUrl":"https://doi.org/10.1109/CERA.2017.8343371","url":null,"abstract":"This paper presents a model order reduction technique based on Kharitonov polynomials. The reduced order interval models are determined by using Kharitonov polynomials and differentiation method. This method is computationally simple and always gives stable results. The performance of this method measured in terms of integral squire error (ISE). Numerical examples are given, that shows that the proposed algorithm is quite comparable with other existing methods.","PeriodicalId":286358,"journal":{"name":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127723027","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}
Pub Date : 2017-10-01DOI: 10.1109/CERA.2017.8343381
Y. Mitabe, N. Sathyakumar, C. G. Parthiban, S. Rajaganapathi, S. Pandian
Robotics is one of the major disruptive technologies of our time, and offers significant opportunities for innovation and competitiveness in the global marketplace. However, in resource-poor countries like India, engineering education is hampered by a lack of access to affordable and innovative hands-on practical education modules for the laboratory. This is especially the case in emerging disciplines like robotics. Moreover, expensive commercial grade robots offer limited scope for experimentation and learning outcomes in an academic setting. This situation can be remedied with the increasing affordability and versatility of open source hardware like microcontrollers and microcomputers, commercial off-the-shelf components like motors, actuators, sensors and power transmission mechanisms, as well as free, open source software. In this paper, a low-cost build your own (BYO) three-link electrically actuated robot manipulator is designed and developed for adoption in robotics and mechatronics laboratory courses. It can be disseminated and adapted on a wide scale at affordable cost for hands-on manufacturing education.
{"title":"A build your own robot manipulator for manufacturing education","authors":"Y. Mitabe, N. Sathyakumar, C. G. Parthiban, S. Rajaganapathi, S. Pandian","doi":"10.1109/CERA.2017.8343381","DOIUrl":"https://doi.org/10.1109/CERA.2017.8343381","url":null,"abstract":"Robotics is one of the major disruptive technologies of our time, and offers significant opportunities for innovation and competitiveness in the global marketplace. However, in resource-poor countries like India, engineering education is hampered by a lack of access to affordable and innovative hands-on practical education modules for the laboratory. This is especially the case in emerging disciplines like robotics. Moreover, expensive commercial grade robots offer limited scope for experimentation and learning outcomes in an academic setting. This situation can be remedied with the increasing affordability and versatility of open source hardware like microcontrollers and microcomputers, commercial off-the-shelf components like motors, actuators, sensors and power transmission mechanisms, as well as free, open source software. In this paper, a low-cost build your own (BYO) three-link electrically actuated robot manipulator is designed and developed for adoption in robotics and mechatronics laboratory courses. It can be disseminated and adapted on a wide scale at affordable cost for hands-on manufacturing education.","PeriodicalId":286358,"journal":{"name":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","volume":"122 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120995914","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}
Pub Date : 2017-10-01DOI: 10.1109/CERA.2017.8343308
Tushar Tyagi, P. Sumathi
Relaxation oscillator based capacitance and resistance measurements are investigated with a compensation technique. Output oscillation frequency of op-amp based relaxation oscillator changes over a range of capacitance variation. The range of capacitance variation considered for measurement is between 57.1 and 206.4 pF. The output oscillation frequency deviates from the theoretical value due to non-idealities of opamp. A compensation technique has been proposed to reduce the oscillation frequency error observed in output waveform. The performance of the op-amp is evaluated again post compensation. The experimental results are compared with an integrator based relaxation oscillator and comparator configuration. Further, the concept of utilizing the compensated relaxation oscillator for resistance measurement has been experimented. The compensated relaxation oscillator provide the improved performance in oscillation frequency of the waveform. Thus, the compensated relaxation oscillator could be employed for both resistive and capacitive sensing for two different measurements such as temperature and moisture measurements.
{"title":"Capacitive and resistive sensing based on compensated relaxation oscillator","authors":"Tushar Tyagi, P. Sumathi","doi":"10.1109/CERA.2017.8343308","DOIUrl":"https://doi.org/10.1109/CERA.2017.8343308","url":null,"abstract":"Relaxation oscillator based capacitance and resistance measurements are investigated with a compensation technique. Output oscillation frequency of op-amp based relaxation oscillator changes over a range of capacitance variation. The range of capacitance variation considered for measurement is between 57.1 and 206.4 pF. The output oscillation frequency deviates from the theoretical value due to non-idealities of opamp. A compensation technique has been proposed to reduce the oscillation frequency error observed in output waveform. The performance of the op-amp is evaluated again post compensation. The experimental results are compared with an integrator based relaxation oscillator and comparator configuration. Further, the concept of utilizing the compensated relaxation oscillator for resistance measurement has been experimented. The compensated relaxation oscillator provide the improved performance in oscillation frequency of the waveform. Thus, the compensated relaxation oscillator could be employed for both resistive and capacitive sensing for two different measurements such as temperature and moisture measurements.","PeriodicalId":286358,"journal":{"name":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131239633","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}
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