Pub Date : 2018-10-01DOI: 10.1109/CEIT.2018.8751939
E. Almasri, E. Arslan
A cryptocurrency is a digital asset designed to work as a medium of exchange that uses cryptography to secure its transactions, to control the creation of additional units, and to verify the transfer of assets.Cryptocurrencies are a type of digital currencies, alternative currencies and virtual currencies. Cryptocurrencies use decentralized control as opposed to centralized electronic money and central banking systems. The decentralized control of each cryptocurrency works through a blockchain, which is a public transaction database, functioning as a distributed ledger.Neural Networks field has many techniques to perform predictions. They are widely used to predict the future values of stock exchange indicators variables. In this paper we will try to use Artificial Neural Network to predict cryptocurrencies close prices, and we’ll study the difference in price change with the normal stock exchanges.
{"title":"Predicting Cryptocurrencies Prices with Neural Networks","authors":"E. Almasri, E. Arslan","doi":"10.1109/CEIT.2018.8751939","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751939","url":null,"abstract":"A cryptocurrency is a digital asset designed to work as a medium of exchange that uses cryptography to secure its transactions, to control the creation of additional units, and to verify the transfer of assets.Cryptocurrencies are a type of digital currencies, alternative currencies and virtual currencies. Cryptocurrencies use decentralized control as opposed to centralized electronic money and central banking systems. The decentralized control of each cryptocurrency works through a blockchain, which is a public transaction database, functioning as a distributed ledger.Neural Networks field has many techniques to perform predictions. They are widely used to predict the future values of stock exchange indicators variables. In this paper we will try to use Artificial Neural Network to predict cryptocurrencies close prices, and we’ll study the difference in price change with the normal stock exchanges.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114971600","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751937
S. Ikizoğlu, Onur Gürışık
This paper presents application results of several optimal control theories on a single-joint flexible link robot. The main objective is to control the angle of the manipulator with minimum vibration in minimum settling time. In this context, three of Linear Quadratic Regulator (LQR) based optimal control techniques are applied on a physical system. The study gives significant information about choosing the proper method for the specific application. Some undesired system behaviors are observed as backlash effect, uncertain system friction dynamics, etc. Solutions to overcome this type of problems are also proposed in this study. The results obtained give high motivation for further studies in this area since the single-joint flexible link represents a number of systems in practice.
{"title":"LQR Based Optimal Control for Single-Joint Flexible Link Robot","authors":"S. Ikizoğlu, Onur Gürışık","doi":"10.1109/CEIT.2018.8751937","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751937","url":null,"abstract":"This paper presents application results of several optimal control theories on a single-joint flexible link robot. The main objective is to control the angle of the manipulator with minimum vibration in minimum settling time. In this context, three of Linear Quadratic Regulator (LQR) based optimal control techniques are applied on a physical system. The study gives significant information about choosing the proper method for the specific application. Some undesired system behaviors are observed as backlash effect, uncertain system friction dynamics, etc. Solutions to overcome this type of problems are also proposed in this study. The results obtained give high motivation for further studies in this area since the single-joint flexible link represents a number of systems in practice.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115381192","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751748
Sana Elmuhandes, A. Iftar
Dynamic output feedback controller design to robustly stabilize linear time-invariant retarded time-delay systems is considered. The considered systems may have multiple uncertain time-delays. In order to achieve best guaranteed exponential decay rate, minimization of the spectral abscissa is also aimed. A minimax optimization problem is formulated for this purpose and algorithms to design such a controller are proposed. These algorithms also include an initialization procedure so that the controller is initialized with the minimum possible dimension and appropriate modes in order to satisfy the parity interlacing property. A number of examples are also presented to demonstrate the proposed approach.
{"title":"Robust Dynamic Output Feedback Controller Design for Systems with Uncertain Time-delays","authors":"Sana Elmuhandes, A. Iftar","doi":"10.1109/CEIT.2018.8751748","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751748","url":null,"abstract":"Dynamic output feedback controller design to robustly stabilize linear time-invariant retarded time-delay systems is considered. The considered systems may have multiple uncertain time-delays. In order to achieve best guaranteed exponential decay rate, minimization of the spectral abscissa is also aimed. A minimax optimization problem is formulated for this purpose and algorithms to design such a controller are proposed. These algorithms also include an initialization procedure so that the controller is initialized with the minimum possible dimension and appropriate modes in order to satisfy the parity interlacing property. A number of examples are also presented to demonstrate the proposed approach.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115400747","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751845
P. Anggraeni, M. Mrabet, M. Defoort, M. Djemai
The MiniLab Enova mobile robot is presented in this paper. The main aim is to implement multi-master systems for managing a wireless communication network of multiple robots. A communication control scheme for multiple MiniLab Enova mobile robots was developed using ROS (Robot Operating System). ROS multi-master system is build from two or more ROS networks, each one with its own roscore node. For multiple robots, there are namespace conflict with ROS topics in a single master system. This limitation can be overcome using multiple masters. With this framework, it is possible to control the movement of multiple robots via a wireless communication network using only one monitoring computer.
{"title":"Development of a wireless communication platform for multiple-mobile robots using ROS","authors":"P. Anggraeni, M. Mrabet, M. Defoort, M. Djemai","doi":"10.1109/CEIT.2018.8751845","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751845","url":null,"abstract":"The MiniLab Enova mobile robot is presented in this paper. The main aim is to implement multi-master systems for managing a wireless communication network of multiple robots. A communication control scheme for multiple MiniLab Enova mobile robots was developed using ROS (Robot Operating System). ROS multi-master system is build from two or more ROS networks, each one with its own roscore node. For multiple robots, there are namespace conflict with ROS topics in a single master system. This limitation can be overcome using multiple masters. With this framework, it is possible to control the movement of multiple robots via a wireless communication network using only one monitoring computer.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"2896 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127447165","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751784
B. Reis, Sami Berk Kaya, Gozde Karatas, O. K. Sahingoz
With the extended use of the Internet, which connects millions of computers across the world, there is a growing number and types of intrusions which complicate ensuring the security of information and computers. Although Firewalls and rule/signature base Intrusion Detection Systems (IDSs) are used as the first line of the defense of networks, they cannot be sufficient for detecting the zero-day type attacks, which are not previously encountered. For this type of attacks, Anomaly-Based Intrusion detection systems arise as an acceptable solution which models the normal communication behavior of the network and identifies the others as a suspicious transaction. To classify the normal behavior, usage of neural networks and machine learning approaches are accepted as powerful solutions. However, due to the lack of computation power, generally single hidden layer approach is preferred.With the enhancement of the parallel computation technology, especially in Graphics Processing Units (GPUs), it will be easy to implement a multi-layer approach in Deep Neural Network concept which has a great deal of attention within Deep Learning approach. Therefore, a better accuracy rate could be reached. In this paper, we aimed to implement a Deep Neural Network-based Intrusion Detection System. Moreover, we also study the performance of the proposed model in the binary classification with a different number of layers, neurons, and parameters. Additionally, the acceleration of the GPU usage is also measured and presented with a comparison. To measure the performance of the proposed system the NSL-KDD data set, which is a cleaned data set of the KDD data set, is preferred. The experimental results showed that the proposed multi-layer Deep Neural Network model produces an acceptable performance in its classification with a high accuracy rate with the design of a 64x32 hidden layer structure depending on the data set NSL-KDD.
{"title":"Intrusion Detection Systems with GPU-Accelerated Deep Neural Networks and Effect of the Depth","authors":"B. Reis, Sami Berk Kaya, Gozde Karatas, O. K. Sahingoz","doi":"10.1109/CEIT.2018.8751784","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751784","url":null,"abstract":"With the extended use of the Internet, which connects millions of computers across the world, there is a growing number and types of intrusions which complicate ensuring the security of information and computers. Although Firewalls and rule/signature base Intrusion Detection Systems (IDSs) are used as the first line of the defense of networks, they cannot be sufficient for detecting the zero-day type attacks, which are not previously encountered. For this type of attacks, Anomaly-Based Intrusion detection systems arise as an acceptable solution which models the normal communication behavior of the network and identifies the others as a suspicious transaction. To classify the normal behavior, usage of neural networks and machine learning approaches are accepted as powerful solutions. However, due to the lack of computation power, generally single hidden layer approach is preferred.With the enhancement of the parallel computation technology, especially in Graphics Processing Units (GPUs), it will be easy to implement a multi-layer approach in Deep Neural Network concept which has a great deal of attention within Deep Learning approach. Therefore, a better accuracy rate could be reached. In this paper, we aimed to implement a Deep Neural Network-based Intrusion Detection System. Moreover, we also study the performance of the proposed model in the binary classification with a different number of layers, neurons, and parameters. Additionally, the acceleration of the GPU usage is also measured and presented with a comparison. To measure the performance of the proposed system the NSL-KDD data set, which is a cleaned data set of the KDD data set, is preferred. The experimental results showed that the proposed multi-layer Deep Neural Network model produces an acceptable performance in its classification with a high accuracy rate with the design of a 64x32 hidden layer structure depending on the data set NSL-KDD.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125054740","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751906
Abdoullah Fath-Allah, Laila Cheikhi, A. Idri, Rafa E. Al-Qutaish
Many quality models have been used to measure e-government portals’ quality. However, the absence of an international consensus for e-government portals’ quality models results in many differences in terms of quality dimensions, attributes, and measures. The aim of this paper is to propose a quality framework for e-government portals based on best practices and ISO 25010. For this purpose a mapping between the e-government portal best practice and the ISO 25010 quality characteristics for product quality is conducted. The findings show that only some of the e-government portal best practice can be mapped with the ISO 25010 quality characteristics for product quality. The portal is also a software product, but with a particular features. As a consequence, new quality characteristics and sub-characteristics were introduced to fulfill the requirement of e-government portals quality. Moreover, an initial quality framework for e-government portals’ is also proposed.
{"title":"Towards an E-Government Portals Quality Framework Based on ISO 25010","authors":"Abdoullah Fath-Allah, Laila Cheikhi, A. Idri, Rafa E. Al-Qutaish","doi":"10.1109/CEIT.2018.8751906","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751906","url":null,"abstract":"Many quality models have been used to measure e-government portals’ quality. However, the absence of an international consensus for e-government portals’ quality models results in many differences in terms of quality dimensions, attributes, and measures. The aim of this paper is to propose a quality framework for e-government portals based on best practices and ISO 25010. For this purpose a mapping between the e-government portal best practice and the ISO 25010 quality characteristics for product quality is conducted. The findings show that only some of the e-government portal best practice can be mapped with the ISO 25010 quality characteristics for product quality. The portal is also a software product, but with a particular features. As a consequence, new quality characteristics and sub-characteristics were introduced to fulfill the requirement of e-government portals quality. Moreover, an initial quality framework for e-government portals’ is also proposed.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"188 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126061819","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751781
Umut Karapinar, Leyla Gören-Sümer
In this work a Laguerre Orthonormal Basis Functions Based Model Predictive Control (MPC) approach is proposed for automotive Adaptive Cruise Control (ACC) application in order to reduce optimization problem complexity. Model of ACC system is constructed using ego vehicle and inter-vehicular dynamics. For inter-vehicular distance control Constant Time Gap Policy is derived and to achieve the similarity with real world driver, an empirical driver model is utilized. Both approaches are integrated into the problem formulation. To avoid the effects of unmeasured disturbances on vehicle following performance, integral action is added to the system. Classical MPC approach is reformulated by representing control signal as sum of Laguerre Basis functions. Distance tracking error and control signal change is constrained to take safety measure and to cope with the system limitations. Additionally, to prevent infeasibility, slack variable approach is utilized. Classical MPC and proposed Laguerre MPC controllers are compared in terms of distance tracking performance and problem complexity.
{"title":"Laguerre MPC Formulation for Automotive Adaptive Cruise Control Application and Performance Analysis","authors":"Umut Karapinar, Leyla Gören-Sümer","doi":"10.1109/CEIT.2018.8751781","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751781","url":null,"abstract":"In this work a Laguerre Orthonormal Basis Functions Based Model Predictive Control (MPC) approach is proposed for automotive Adaptive Cruise Control (ACC) application in order to reduce optimization problem complexity. Model of ACC system is constructed using ego vehicle and inter-vehicular dynamics. For inter-vehicular distance control Constant Time Gap Policy is derived and to achieve the similarity with real world driver, an empirical driver model is utilized. Both approaches are integrated into the problem formulation. To avoid the effects of unmeasured disturbances on vehicle following performance, integral action is added to the system. Classical MPC approach is reformulated by representing control signal as sum of Laguerre Basis functions. Distance tracking error and control signal change is constrained to take safety measure and to cope with the system limitations. Additionally, to prevent infeasibility, slack variable approach is utilized. Classical MPC and proposed Laguerre MPC controllers are compared in terms of distance tracking performance and problem complexity.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126184001","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751797
Rustem Yi̇lmazel, M. Seyman
The development of wireless communication networks has made spectrum management more compulsory. Different systems such as Multi-carrier code division multiple access (MC-CDMA) have to be adapted for cognitive radio technology to solve this problem. In this article, cooperative spectrum sensing technique, which is one of the spectrum sensing techniques, is adapted to MC-CDMA technology. This method can be used to decrease the mathematical density of the obtained spectral characteristics or to get better the probability of detection. Cognitive radio has made it possible to make spectrum perception more effective and reduce the possibility of false perception. The aim is to increase the likelihood that an unauthorized user will be able to identify the presence of a licensed user by cooperating with each other. The theoretical value and the simulated result are compared and then the results are interpreted according to the changing signal-to-noise ratios (SNRs).
{"title":"Cooperative spectrum sensing method for MC-CDMA systems in cognitive radio networks","authors":"Rustem Yi̇lmazel, M. Seyman","doi":"10.1109/CEIT.2018.8751797","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751797","url":null,"abstract":"The development of wireless communication networks has made spectrum management more compulsory. Different systems such as Multi-carrier code division multiple access (MC-CDMA) have to be adapted for cognitive radio technology to solve this problem. In this article, cooperative spectrum sensing technique, which is one of the spectrum sensing techniques, is adapted to MC-CDMA technology. This method can be used to decrease the mathematical density of the obtained spectral characteristics or to get better the probability of detection. Cognitive radio has made it possible to make spectrum perception more effective and reduce the possibility of false perception. The aim is to increase the likelihood that an unauthorized user will be able to identify the presence of a licensed user by cooperating with each other. The theoretical value and the simulated result are compared and then the results are interpreted according to the changing signal-to-noise ratios (SNRs).","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123522587","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751855
Mert Sever, M. S. Arslan
A side slip angle free model matching controller (MMC) is designed to improve vehicle yaw stability by active front steering. Optimization of controller gains is specified by a classical LQR problem. Additionally, LQR controller gains are structured to enable side slip angle free design. Design of an LQR having a structured controller gain is formulated as a convex optimization problem subject to linear matrix inequalities (LMIs) constraints. The proposed controller is designed with an augmented state space model including a linear bicycle model and model matching error dynamics. Superiority of the proposed controller is shown by numerically comparing with a classical full state feedback LQR. In order to obtain realistic results; a three-degrees-of-freedom nonlinear vehicle model is used. The nonlinear vehicle model is composed of lateral, yaw and longitudinal motions with the well-known Magic Formula tire model. Simulation results show that the proposed structured MMC provides very compatible performance with full state feedback LQR design.
{"title":"Active Front Steering Controller Design with Side Slip Angle Free Model Matching Approach","authors":"Mert Sever, M. S. Arslan","doi":"10.1109/CEIT.2018.8751855","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751855","url":null,"abstract":"A side slip angle free model matching controller (MMC) is designed to improve vehicle yaw stability by active front steering. Optimization of controller gains is specified by a classical LQR problem. Additionally, LQR controller gains are structured to enable side slip angle free design. Design of an LQR having a structured controller gain is formulated as a convex optimization problem subject to linear matrix inequalities (LMIs) constraints. The proposed controller is designed with an augmented state space model including a linear bicycle model and model matching error dynamics. Superiority of the proposed controller is shown by numerically comparing with a classical full state feedback LQR. In order to obtain realistic results; a three-degrees-of-freedom nonlinear vehicle model is used. The nonlinear vehicle model is composed of lateral, yaw and longitudinal motions with the well-known Magic Formula tire model. Simulation results show that the proposed structured MMC provides very compatible performance with full state feedback LQR design.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129579935","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751830
Hosein Bakhtiarzadeh, A. Polat, L. T. Ergene
In this paper, permanent magnet synchronous motor (PMSM) used in an elevator which can lift eight people with the linear speed of 1 m/s, is evaluated. Five different PMSMs are designed and compared to each other. Number of poles, load, input voltage and main dimensions (inner and outer diameter of rotor and stator and length) is kept the same for all the motors. However different number of stator slots (36, 48, 54 and 60) and different winding layouts are designed. All the motors are modelled by using ANSYS Maxwell that is finite element method (FEM) based commercial software. The results are compared in terms of the induced voltage, induced voltage harmonics and torque output.
{"title":"The analysis of different stator designs of a PMSM for elevator application","authors":"Hosein Bakhtiarzadeh, A. Polat, L. T. Ergene","doi":"10.1109/CEIT.2018.8751830","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751830","url":null,"abstract":"In this paper, permanent magnet synchronous motor (PMSM) used in an elevator which can lift eight people with the linear speed of 1 m/s, is evaluated. Five different PMSMs are designed and compared to each other. Number of poles, load, input voltage and main dimensions (inner and outer diameter of rotor and stator and length) is kept the same for all the motors. However different number of stator slots (36, 48, 54 and 60) and different winding layouts are designed. All the motors are modelled by using ANSYS Maxwell that is finite element method (FEM) based commercial software. The results are compared in terms of the induced voltage, induced voltage harmonics and torque output.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128795504","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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