Pub Date : 2013-12-01DOI: 10.1109/SPC.2013.6735152
R. Teymourzadeh, Salah Addin Ahmed, Kok Wai Chan, Mok Vee Hoong
This research work investigates the potential of `Full Home Control', which is the aim of the Home Automation Systems in near future. The analysis and implementation of the home automation technology using Global System for Mobile Communication (GSM) modem to control home appliances such as light, conditional system, and security system via Short Message Service (SMS) text messages is presented in this paper. The proposed research work is focused on functionality of the GSM protocol, which allows the user to control the target system away from residential using the frequency bandwidths. The concept of serial communication and AT-commands has been applied towards development of the smart GSM-based home automation system. Home owners will be able to receive feedback status of any home appliances under control whether switched on or off remotely from their mobile phones. PIC16F887 microcontroller with the integration of GSM provides the smart automated house system with the desired baud rate of 9600 bps. The proposed prototype of GSM based home automation system was implemented and tested with maximum of four loads and shows the accuracy of ≥98%.
{"title":"Smart GSM based Home Automation System","authors":"R. Teymourzadeh, Salah Addin Ahmed, Kok Wai Chan, Mok Vee Hoong","doi":"10.1109/SPC.2013.6735152","DOIUrl":"https://doi.org/10.1109/SPC.2013.6735152","url":null,"abstract":"This research work investigates the potential of `Full Home Control', which is the aim of the Home Automation Systems in near future. The analysis and implementation of the home automation technology using Global System for Mobile Communication (GSM) modem to control home appliances such as light, conditional system, and security system via Short Message Service (SMS) text messages is presented in this paper. The proposed research work is focused on functionality of the GSM protocol, which allows the user to control the target system away from residential using the frequency bandwidths. The concept of serial communication and AT-commands has been applied towards development of the smart GSM-based home automation system. Home owners will be able to receive feedback status of any home appliances under control whether switched on or off remotely from their mobile phones. PIC16F887 microcontroller with the integration of GSM provides the smart automated house system with the desired baud rate of 9600 bps. The proposed prototype of GSM based home automation system was implemented and tested with maximum of four loads and shows the accuracy of ≥98%.","PeriodicalId":198247,"journal":{"name":"2013 IEEE Conference on Systems, Process & Control (ICSPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123965073","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 : 2013-12-01DOI: 10.1109/SPC.2013.6735093
Zoha PourEbtehaj, D. Ramachandram
A novel framework for Automatic Target Recognition(ATR) in Synthetic Aperture Radar (SAR) imagery using Ensemble classifier is presented. A combination of Principal Component Analysis (PCA) and Non-negative Factorization (NMF) are used as features to a Random Subspace Ensemble with k-NN as base classifiers. The Random Subspace ensemble offers an elegant approach to feature selection when dealing with high dimensional feature set such as in the present case. Our approach has been benchmarked using the Moving and Stationary Target Acquisition and Recognition (MSTAR) dataset and results indicate our method outperforms other the state-of-the-art SAR ATR techniques reported in the literature.
{"title":"Automatic Target Recognition of SAR images using Random Subspace Ensemble classifier","authors":"Zoha PourEbtehaj, D. Ramachandram","doi":"10.1109/SPC.2013.6735093","DOIUrl":"https://doi.org/10.1109/SPC.2013.6735093","url":null,"abstract":"A novel framework for Automatic Target Recognition(ATR) in Synthetic Aperture Radar (SAR) imagery using Ensemble classifier is presented. A combination of Principal Component Analysis (PCA) and Non-negative Factorization (NMF) are used as features to a Random Subspace Ensemble with k-NN as base classifiers. The Random Subspace ensemble offers an elegant approach to feature selection when dealing with high dimensional feature set such as in the present case. Our approach has been benchmarked using the Moving and Stationary Target Acquisition and Recognition (MSTAR) dataset and results indicate our method outperforms other the state-of-the-art SAR ATR techniques reported in the literature.","PeriodicalId":198247,"journal":{"name":"2013 IEEE Conference on Systems, Process & Control (ICSPC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129211184","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 : 2013-12-01DOI: 10.1109/SPC.2013.6735094
S. Rashid, Saad B. Qaisar, Husnain Saeed, Emad A. Felemban
Leakage in distribution pipeline networks is a significant problem, which not only cause immense amount of water lost but serious environmental and health hazards. For this reason, accurate detection and localization of leakages has become one of the most focused areas of research. A robust, reliable and real time parametric view of whole pipeline network is needed to achieve operational efficiency. Negative pressure wave (NPW) technique is one of the effective tools to identify abrupt leakages in pipelines. This paper presents wireless sensor network (WSN) based leakage detection and localization algorithm using pressure measurements and application of wavelet transform to the fault diagnosis in fluid (water/oil) distribution systems. The adoption of the developed system leads to precise leakage detection but also reduce the detection time. The proposed system is validated through experimental campaign that consisted different testing scenarios. The leak detection methodology is described in detail. A comparison of proposed methodology with traditional method has been carried out. The technique works with considerably high efficiency in most deployment scenarios for long pipeline networks.
{"title":"Performance analysis of wavelet transforms for leakage detection in long range pipeline networks","authors":"S. Rashid, Saad B. Qaisar, Husnain Saeed, Emad A. Felemban","doi":"10.1109/SPC.2013.6735094","DOIUrl":"https://doi.org/10.1109/SPC.2013.6735094","url":null,"abstract":"Leakage in distribution pipeline networks is a significant problem, which not only cause immense amount of water lost but serious environmental and health hazards. For this reason, accurate detection and localization of leakages has become one of the most focused areas of research. A robust, reliable and real time parametric view of whole pipeline network is needed to achieve operational efficiency. Negative pressure wave (NPW) technique is one of the effective tools to identify abrupt leakages in pipelines. This paper presents wireless sensor network (WSN) based leakage detection and localization algorithm using pressure measurements and application of wavelet transform to the fault diagnosis in fluid (water/oil) distribution systems. The adoption of the developed system leads to precise leakage detection but also reduce the detection time. The proposed system is validated through experimental campaign that consisted different testing scenarios. The leak detection methodology is described in detail. A comparison of proposed methodology with traditional method has been carried out. The technique works with considerably high efficiency in most deployment scenarios for long pipeline networks.","PeriodicalId":198247,"journal":{"name":"2013 IEEE Conference on Systems, Process & Control (ICSPC)","volume":"1204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115828104","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 : 2013-12-01DOI: 10.1109/SPC.2013.6735121
Masmaria Abdul Majid, W. S. W. Ibrahim, S. Mohamad, Z. A. Bakar
This paper presents an efficient control of a 3D dimensional gantry crane with payload. In order to have a gantry crane perform in fast motion, the system will experience significant payload sway. With large sway angle of payload the system performance degrade and this will affect the efficiency of the system. Therefore, input shaping techniques with controller will be introduce to the system in order to achieve small sway angle of payload with minimum settling time. The simulation of system is performed by using Matlab/Simulink. System response including positions of rail and position of trolley and payload and payload sway angle are obtained and been analyzed in time domain and frequency domain. The behaviors of the system without any controller have been analyzed and the system excited sway angle in long period. Therefore, Proportional Derivative (PD) and Proportional Integral Derivative (PID) controller with input shaping technique for input tracking and reduction of payload have been proposed. Parameters of the controller are defined using Ziegler Nichols tuning rules. With proposed controller, the 3D gantry crane shows that the system is capable of minimizing the payload sway while achieving satisfactory input tracking performance. The evaluation of performance of controller is examined in terms of input tracking capability and level of sway reduction.
{"title":"A comparison of PID and PD controller with input shaping technique for 3D gantry crane","authors":"Masmaria Abdul Majid, W. S. W. Ibrahim, S. Mohamad, Z. A. Bakar","doi":"10.1109/SPC.2013.6735121","DOIUrl":"https://doi.org/10.1109/SPC.2013.6735121","url":null,"abstract":"This paper presents an efficient control of a 3D dimensional gantry crane with payload. In order to have a gantry crane perform in fast motion, the system will experience significant payload sway. With large sway angle of payload the system performance degrade and this will affect the efficiency of the system. Therefore, input shaping techniques with controller will be introduce to the system in order to achieve small sway angle of payload with minimum settling time. The simulation of system is performed by using Matlab/Simulink. System response including positions of rail and position of trolley and payload and payload sway angle are obtained and been analyzed in time domain and frequency domain. The behaviors of the system without any controller have been analyzed and the system excited sway angle in long period. Therefore, Proportional Derivative (PD) and Proportional Integral Derivative (PID) controller with input shaping technique for input tracking and reduction of payload have been proposed. Parameters of the controller are defined using Ziegler Nichols tuning rules. With proposed controller, the 3D gantry crane shows that the system is capable of minimizing the payload sway while achieving satisfactory input tracking performance. The evaluation of performance of controller is examined in terms of input tracking capability and level of sway reduction.","PeriodicalId":198247,"journal":{"name":"2013 IEEE Conference on Systems, Process & Control (ICSPC)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125387355","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 : 2013-12-01DOI: 10.1109/SPC.2013.6735125
V. M. Vaidyan, V. Shijoh, S. Sasikumaran
In conventional approaches of operation of steel rolling mills, even though Integral Proportional (IP) speed/Neural controllers were used, unfortunately the energy efficiency is not taken into account. This incurs lot of losses in terms of electrical energy and overhead costs. Reduction of energy consumed is critical for reaching a sustainable future. A new approach with maximum efficiency operation is introduced here which ensures energy efficiency and profitable operation of steel rolling mills. Also in industrial applications, armature resistance, armature inductance, moment of inertia, and friction coefficient vary as the operating conditions of the steel rolling mill change. To address parameter uncertainty issues, an H∞ control based approach is used to ensure robustness in multiple parameter uncertainties along with simultaneous energy efficient operation of steel rolling mills. A profitable robust energy efficient approach for steel rolling mills which can be used in real time mills is the result as the proposed robust and efficient operation ensures less overhead and in turn profit in industry. System was modeled from first principles and then was simulated in Matlab environment. The results confirm that the system has better efficiency. And also in validation it confirms system is stable even in multiple parameter uncertainties and load perturbations.
{"title":"Energy saving scheme for steel rolling mills in steel manufacturing system with H∞ stabilization in parameter uncertainties","authors":"V. M. Vaidyan, V. Shijoh, S. Sasikumaran","doi":"10.1109/SPC.2013.6735125","DOIUrl":"https://doi.org/10.1109/SPC.2013.6735125","url":null,"abstract":"In conventional approaches of operation of steel rolling mills, even though Integral Proportional (IP) speed/Neural controllers were used, unfortunately the energy efficiency is not taken into account. This incurs lot of losses in terms of electrical energy and overhead costs. Reduction of energy consumed is critical for reaching a sustainable future. A new approach with maximum efficiency operation is introduced here which ensures energy efficiency and profitable operation of steel rolling mills. Also in industrial applications, armature resistance, armature inductance, moment of inertia, and friction coefficient vary as the operating conditions of the steel rolling mill change. To address parameter uncertainty issues, an H∞ control based approach is used to ensure robustness in multiple parameter uncertainties along with simultaneous energy efficient operation of steel rolling mills. A profitable robust energy efficient approach for steel rolling mills which can be used in real time mills is the result as the proposed robust and efficient operation ensures less overhead and in turn profit in industry. System was modeled from first principles and then was simulated in Matlab environment. The results confirm that the system has better efficiency. And also in validation it confirms system is stable even in multiple parameter uncertainties and load perturbations.","PeriodicalId":198247,"journal":{"name":"2013 IEEE Conference on Systems, Process & Control (ICSPC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125972646","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 : 2013-12-01DOI: 10.1109/SPC.2013.6735105
R. Shalbaf, H. Behnam, H. J. Moghadam, A. Mehrnam, M. Sadaghiani
Monitoring depth of anesthesia using the Electroencephalogram (EEG) is a major ongoing challenge in anesthesia research. This paper offers a real-time method based on combination of permutation entropy and burst suppression pattern ratio to calculate an index, called Brain function index (BFI), to quantify the effect of anesthetic drug on brain activity quickly and accurately. Such a method implemented in the Saadat brain function assessment module (Saadat Co., Tehran, Iran). The BFI and commercial Bispectral index (BIS) are applied to EEG signals collected from 25 patients during general surgery. The results show that both BFI and BIS track the gross changes in EEG especially at high doses of anesthetics. However, the BFI index has significant advantages as; it has an open source algorithm and doesn't involve a complex mixture of three unrelated sub-indices; it is less sensitive to the noise embedded in the EEG signal and it considerably reduces computational complexity.
{"title":"The Brain function index as a depth of anesthesia indicator using complexity measures","authors":"R. Shalbaf, H. Behnam, H. J. Moghadam, A. Mehrnam, M. Sadaghiani","doi":"10.1109/SPC.2013.6735105","DOIUrl":"https://doi.org/10.1109/SPC.2013.6735105","url":null,"abstract":"Monitoring depth of anesthesia using the Electroencephalogram (EEG) is a major ongoing challenge in anesthesia research. This paper offers a real-time method based on combination of permutation entropy and burst suppression pattern ratio to calculate an index, called Brain function index (BFI), to quantify the effect of anesthetic drug on brain activity quickly and accurately. Such a method implemented in the Saadat brain function assessment module (Saadat Co., Tehran, Iran). The BFI and commercial Bispectral index (BIS) are applied to EEG signals collected from 25 patients during general surgery. The results show that both BFI and BIS track the gross changes in EEG especially at high doses of anesthetics. However, the BFI index has significant advantages as; it has an open source algorithm and doesn't involve a complex mixture of three unrelated sub-indices; it is less sensitive to the noise embedded in the EEG signal and it considerably reduces computational complexity.","PeriodicalId":198247,"journal":{"name":"2013 IEEE Conference on Systems, Process & Control (ICSPC)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114978725","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 : 2013-12-01DOI: 10.1109/SPC.2013.6735151
R. Teymourzadeh, Waidhuba Martin Kizito, Kok Wai Chan, Mok Vee Hoong
Signature verification is an authentication technique that considers handwritten signature as a “biometric”. From a biometric perspective, this project made use of automatic means through an integration of intelligent algorithms to perform signal enhancement function such as filtering and smoothing for optimization in conventional biometric systems. A handwritten signature is a 1-D Daubechies wavelet signal (db4) that utilizes Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) collectively to create a feature dataset with d-dimensional space. In the proposed work, the statistical features characteristics are extracted from each particular signature per data source. Two databases called Signature Verification Competition (SVC) 2004 database and SUBCORPUS-100 MCYT Bimodal database are used to cooperate with the design algorithm. Furthermore, dimension reduction technique is applied to the large feature vectors. A system model is trained and evaluated using the support vector machine (SVM) classifier algorithm. Hence, an equal error rate (EER) of 8.7% and an average correct verification rate of 91.3% are obtained.
{"title":"Smart analytical signature verification for DSP applications","authors":"R. Teymourzadeh, Waidhuba Martin Kizito, Kok Wai Chan, Mok Vee Hoong","doi":"10.1109/SPC.2013.6735151","DOIUrl":"https://doi.org/10.1109/SPC.2013.6735151","url":null,"abstract":"Signature verification is an authentication technique that considers handwritten signature as a “biometric”. From a biometric perspective, this project made use of automatic means through an integration of intelligent algorithms to perform signal enhancement function such as filtering and smoothing for optimization in conventional biometric systems. A handwritten signature is a 1-D Daubechies wavelet signal (db4) that utilizes Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) collectively to create a feature dataset with d-dimensional space. In the proposed work, the statistical features characteristics are extracted from each particular signature per data source. Two databases called Signature Verification Competition (SVC) 2004 database and SUBCORPUS-100 MCYT Bimodal database are used to cooperate with the design algorithm. Furthermore, dimension reduction technique is applied to the large feature vectors. A system model is trained and evaluated using the support vector machine (SVM) classifier algorithm. Hence, an equal error rate (EER) of 8.7% and an average correct verification rate of 91.3% are obtained.","PeriodicalId":198247,"journal":{"name":"2013 IEEE Conference on Systems, Process & Control (ICSPC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124664072","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 : 2013-12-01DOI: 10.1109/SPC.2013.6735095
M. K. Joyo, D. Hazry, S. Faiz Ahmed, M. H. Tanveer, F. Warsi, A. T. Hussain
Quad-rotor Unmanned Aerial Vehicles (UAVs) have become prominent rotorcraft amongst the helicopter type UAVs. They have been studied immensely in the recent past years. Several issues regarding its position and altitude control have been observed in conditions such as heavy wind gusts. In these circumstances it is necessary for quadrotor to carry a robust controller that responds quick enough to reduce the risk of terrific descent and drift from its original position. This article presents improved PID control technique to hold the horizontal position and descent rate of UAV under intense turbulent environments. The parameters of PID are extracted from auto tuned PID. The proposed control design is simulated on MATLAB platform. The outcomes of the research work demonstrate that under the extreme air turbulence the proposed control design works effectively for altitude and horizontal motion controlling of quadrotor UAV.
{"title":"Altitude and horizontal motion control of quadrotor UAV in the presence of air turbulence","authors":"M. K. Joyo, D. Hazry, S. Faiz Ahmed, M. H. Tanveer, F. Warsi, A. T. Hussain","doi":"10.1109/SPC.2013.6735095","DOIUrl":"https://doi.org/10.1109/SPC.2013.6735095","url":null,"abstract":"Quad-rotor Unmanned Aerial Vehicles (UAVs) have become prominent rotorcraft amongst the helicopter type UAVs. They have been studied immensely in the recent past years. Several issues regarding its position and altitude control have been observed in conditions such as heavy wind gusts. In these circumstances it is necessary for quadrotor to carry a robust controller that responds quick enough to reduce the risk of terrific descent and drift from its original position. This article presents improved PID control technique to hold the horizontal position and descent rate of UAV under intense turbulent environments. The parameters of PID are extracted from auto tuned PID. The proposed control design is simulated on MATLAB platform. The outcomes of the research work demonstrate that under the extreme air turbulence the proposed control design works effectively for altitude and horizontal motion controlling of quadrotor UAV.","PeriodicalId":198247,"journal":{"name":"2013 IEEE Conference on Systems, Process & Control (ICSPC)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124079946","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 : 2013-12-01DOI: 10.1109/SPC.2013.6735106
M. I. Ishak, Hirohiko Ogino, Y. Oshinoya
As car manufacturers progress in creating electric based transportation, demand on the research of stability, controllability and feasibility on electric vehicle increases. The conversion of mechanical to electric does not limit to the driving propulsion, but also to the drivetrain of an electric vehicle. The electric powered and by-wire control technology allow for manufacturers to build an independent four wheels steering (i4WS) of an all-wheel drive small in wheel electric vehicle. These i4WS provides extra mobility compared to conventional vehicle such as opposite steering, parallel steering, and zero-radius steering. However before any control can be applied, a basic knowledge and specification of every modes are needed. Thus in this paper, a research solely on the introduction of dynamic motion for opposite steering and parallel steering is addressed. A simulation was done to determine the steering characteristic for opposite steering and parallel steering during steady state cornering and lane changing. The negative steer angle indicates the wheel steer at a clockwise direction while positive angle indicates rotation at counter-clockwise. Results show that opposite steering increase the yaw rotation speed while decreasing the turning radius. However, parallel steering decrease the yaw rotational speed and increase the turning radius.
{"title":"Introduction on dynamic motion of opposite and parallel steering for electric vehicle","authors":"M. I. Ishak, Hirohiko Ogino, Y. Oshinoya","doi":"10.1109/SPC.2013.6735106","DOIUrl":"https://doi.org/10.1109/SPC.2013.6735106","url":null,"abstract":"As car manufacturers progress in creating electric based transportation, demand on the research of stability, controllability and feasibility on electric vehicle increases. The conversion of mechanical to electric does not limit to the driving propulsion, but also to the drivetrain of an electric vehicle. The electric powered and by-wire control technology allow for manufacturers to build an independent four wheels steering (i4WS) of an all-wheel drive small in wheel electric vehicle. These i4WS provides extra mobility compared to conventional vehicle such as opposite steering, parallel steering, and zero-radius steering. However before any control can be applied, a basic knowledge and specification of every modes are needed. Thus in this paper, a research solely on the introduction of dynamic motion for opposite steering and parallel steering is addressed. A simulation was done to determine the steering characteristic for opposite steering and parallel steering during steady state cornering and lane changing. The negative steer angle indicates the wheel steer at a clockwise direction while positive angle indicates rotation at counter-clockwise. Results show that opposite steering increase the yaw rotation speed while decreasing the turning radius. However, parallel steering decrease the yaw rotational speed and increase the turning radius.","PeriodicalId":198247,"journal":{"name":"2013 IEEE Conference on Systems, Process & Control (ICSPC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126440653","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 : 2013-12-01DOI: 10.1109/SPC.2013.6735101
M. H. Peeie, Hirohiko Ogino, Y. Oshinoya
This paper proposed a new simulation model of skid control for a small electric vehicle that uses a hydraulic-mechanical hybrid brake system. In this research, we combined a hydraulic-mechanical hybrid brake system with an anti-lock braking system (ABS) and regenerative brake control. Before we can determine the ABS and regenerative brake control method, we must investigate the effect of the hysteresis on the control of the braking pressure and regenerative braking force. We have done the experiment to measure the inertial moment of the rear tire (in-wheel motor was attached) and the front tire (in-wheel motor was not attached) because it affects the hysteresis characteristics. The effect of the hysteresis of friction force for a small electric vehicle during braking on dry asphalt and icy road was calculated by MATLAB/Simulink.
{"title":"Skid control of small electric vehicle (Effect of the regenerative braking force to the hysteresis of friction brake force)","authors":"M. H. Peeie, Hirohiko Ogino, Y. Oshinoya","doi":"10.1109/SPC.2013.6735101","DOIUrl":"https://doi.org/10.1109/SPC.2013.6735101","url":null,"abstract":"This paper proposed a new simulation model of skid control for a small electric vehicle that uses a hydraulic-mechanical hybrid brake system. In this research, we combined a hydraulic-mechanical hybrid brake system with an anti-lock braking system (ABS) and regenerative brake control. Before we can determine the ABS and regenerative brake control method, we must investigate the effect of the hysteresis on the control of the braking pressure and regenerative braking force. We have done the experiment to measure the inertial moment of the rear tire (in-wheel motor was attached) and the front tire (in-wheel motor was not attached) because it affects the hysteresis characteristics. The effect of the hysteresis of friction force for a small electric vehicle during braking on dry asphalt and icy road was calculated by MATLAB/Simulink.","PeriodicalId":198247,"journal":{"name":"2013 IEEE Conference on Systems, Process & Control (ICSPC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133094423","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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