Pub Date : 2018-10-01DOI: 10.1109/CEIT.2018.8751823
H. Güzey, A. Dumlu
In this study, consensus-based synchronizing control for DC motors is presented. Nonlinear sliding mode based dynamical control of DC motors is extended for a group of networked DC motors and a novel consensus control is developed to make the motors reach the same state (position or speed). One of the motors in the network is assigned as the group leader. The leader is controlled through sliding mode controller to track a given desired trajectory. While the rest of the motors in the network are controlled through the novel synchronizing controller developed in this work. As long as the communication network is connected, it is shown that the motors eventually track the desired trajectory given to the leader without having any knowledge of the desired trajectory. Experimental results are provided at the end of the paper to verify our proposed theoretical claims.
{"title":"Nonlinear Consensus-Based Synchronizing Tracking Control of Networked DC Motors","authors":"H. Güzey, A. Dumlu","doi":"10.1109/CEIT.2018.8751823","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751823","url":null,"abstract":"In this study, consensus-based synchronizing control for DC motors is presented. Nonlinear sliding mode based dynamical control of DC motors is extended for a group of networked DC motors and a novel consensus control is developed to make the motors reach the same state (position or speed). One of the motors in the network is assigned as the group leader. The leader is controlled through sliding mode controller to track a given desired trajectory. While the rest of the motors in the network are controlled through the novel synchronizing controller developed in this work. As long as the communication network is connected, it is shown that the motors eventually track the desired trajectory given to the leader without having any knowledge of the desired trajectory. Experimental results are provided at the end of the paper to verify our proposed theoretical claims.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"28 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":"125946837","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.2018.8751750
Sina Entekhabi, A. Karatas, Halit Oğuztüzün
Dynamically reconfigurable systems are able to respond to changes in their operational environments by reconfiguring themselves automatically. Dynamic software product lines are dynamically reconfigurable systems with an explicit variability model that guides the reconfiguration. In this work, feature models are used as the variability model. An emerging situation in the environment can lead to some relevant changes to the current configuration: some features must be activated, and some must be deactivated. Due to constraint propagation, the status of other features might need to be changed as well. However, considering the feature state migration cost, one would like to mitigate the cost to the greatest extent possible. Furthermore, the configuration with a proper cost has to be reached in an acceptable time. In this paper, we devised a set of feature model heuristics for a constraint satisfaction problem algorithm that considers the efficiency and the cost of feature state changes to be applied to the current configuration while confronting the changes in the environment so that the requirements of the new situation will be efficiently satisfied with the minimum cost.
{"title":"Dynamic Constraint Satisfaction Algorithm for Online Feature Model Reconfiguration","authors":"Sina Entekhabi, A. Karatas, Halit Oğuztüzün","doi":"10.1109/CEIT.2018.8751750","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751750","url":null,"abstract":"Dynamically reconfigurable systems are able to respond to changes in their operational environments by reconfiguring themselves automatically. Dynamic software product lines are dynamically reconfigurable systems with an explicit variability model that guides the reconfiguration. In this work, feature models are used as the variability model. An emerging situation in the environment can lead to some relevant changes to the current configuration: some features must be activated, and some must be deactivated. Due to constraint propagation, the status of other features might need to be changed as well. However, considering the feature state migration cost, one would like to mitigate the cost to the greatest extent possible. Furthermore, the configuration with a proper cost has to be reached in an acceptable time. In this paper, we devised a set of feature model heuristics for a constraint satisfaction problem algorithm that considers the efficiency and the cost of feature state changes to be applied to the current configuration while confronting the changes in the environment so that the requirements of the new situation will be efficiently satisfied with the minimum cost.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"23 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":"128649208","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.2018.8751790
Onur Ayan, B. Turkay
Home automation systems give consumers access to control devices in their homes from a mobile phone or a tablet anywhere in the world and there are many products such as door locks, smart lights, garage doors, doorbell cameras, and smart switches with plugs in the home automation technology market. Smart thermostats are also one of the most important products of home automation system. HVAC systems account for over 60% of the energy consumed by buildings and this rate is expected to increase further in the future. For this reason, it is important to pay attention to the efficient use of HVAC systems. In this study, three different studies were performed on how much energy could be saved by using smart thermostats. When the temperature can be reduced during the night hours while consumers are sleeping, the energy savings for electricity and natural gas consumption were calculated as 20.72% and 17.7%, respectively. When consumers are away from the house at specific hours, they can save average 35.41% and 10.28% percent on electricity and natural gas consumption, respectively by turning down the thermostat or turning it off completely.
{"title":"Smart Thermostats for Home Automation Systems and Energy Savings from Smart Thermostats","authors":"Onur Ayan, B. Turkay","doi":"10.1109/CEIT.2018.8751790","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751790","url":null,"abstract":"Home automation systems give consumers access to control devices in their homes from a mobile phone or a tablet anywhere in the world and there are many products such as door locks, smart lights, garage doors, doorbell cameras, and smart switches with plugs in the home automation technology market. Smart thermostats are also one of the most important products of home automation system. HVAC systems account for over 60% of the energy consumed by buildings and this rate is expected to increase further in the future. For this reason, it is important to pay attention to the efficient use of HVAC systems. In this study, three different studies were performed on how much energy could be saved by using smart thermostats. When the temperature can be reduced during the night hours while consumers are sleeping, the energy savings for electricity and natural gas consumption were calculated as 20.72% and 17.7%, respectively. When consumers are away from the house at specific hours, they can save average 35.41% and 10.28% percent on electricity and natural gas consumption, respectively by turning down the thermostat or turning it off completely.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"34 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":"124968752","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.2018.8751774
Fazal Nasir, Mohammad Javad Fotuhi, Z. Bingul
This paper presents the attitude control for the over-actuated double coaxial dual rotor 2DOF helicopter aerodynamic system (2DOF-HADS), a simplified version of helicopter, to investigate for possible fast dynamic responses using (proportional-Interagor-derivative) PID control algorithm and Extended Kalman Filter (EKF). In designing control strategy for Helicopter, dynamics uncertainties and nonlinear behavior have investigated. In control tasks, two separate PID controllers used for stabilization of coupled pitch and yaw angles and tracking of chosen state variables. The linear and Extended Kalman Filter used to estimate the uncertain states of the system. The filter combination with PID controllers improve the reliability of sensors data. The simulation and experimental results show a good tracking of the desire trajectory.
{"title":"Linear and Extended Kalman Filter Estimation of Pitch and Yaw Angles for 2 DOF Double Dual Twin Rotor Aero-dynamical System","authors":"Fazal Nasir, Mohammad Javad Fotuhi, Z. Bingul","doi":"10.1109/CEIT.2018.8751774","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751774","url":null,"abstract":"This paper presents the attitude control for the over-actuated double coaxial dual rotor 2DOF helicopter aerodynamic system (2DOF-HADS), a simplified version of helicopter, to investigate for possible fast dynamic responses using (proportional-Interagor-derivative) PID control algorithm and Extended Kalman Filter (EKF). In designing control strategy for Helicopter, dynamics uncertainties and nonlinear behavior have investigated. In control tasks, two separate PID controllers used for stabilization of coupled pitch and yaw angles and tracking of chosen state variables. The linear and Extended Kalman Filter used to estimate the uncertain states of the system. The filter combination with PID controllers improve the reliability of sensors data. The simulation and experimental results show a good tracking of the desire trajectory.","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":"130193284","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.2018.8751946
F. Köse, Kaplan Kaplan, H. Ertunc
The ball and plate system, which has more than one variable, is a non-linear system. The stability of the ball and plate system can be performed when the ball is moved to any desired coordinates on the plate or to the desired orbit. The degree of freedom of the ball and plate system is greater than the number of actuators that move the system. Therefore, the control of the system is a difficult problem. There is friction, measurement delays and unstable parameters that can affect the system control negatively. The designed physical model was implemented using Arduino Uno R3 development card by using PID, Sliding Mode Control (SMC) and Fuzzy Logic Control (FLC) methods through LabVIEW environment. For this aim, a user interface is created on the Labview program and a system design is implemented in which control parameters can be changed or different control algorithms can be tested.
球盘系统是一个非线性系统，它有多个变量。当球被移动到板上的任何期望的坐标或期望的轨道时，可以执行球和板系统的稳定性。球盘系统的自由度大于驱动系统的致动器的数量。因此，系统的控制是一个难题。摩擦、测量延迟和不稳定参数会对系统控制产生负面影响。设计的物理模型在Arduino Uno R3开发卡上通过LabVIEW环境采用PID、滑模控制(SMC)和模糊逻辑控制(FLC)方法实现。为此，在Labview程序上创建了一个用户界面，并实现了一个系统设计，其中可以更改控制参数或测试不同的控制算法。
{"title":"Real Time Position and Trajectory Control of Ball and Plate System Using Different Control Techniques","authors":"F. Köse, Kaplan Kaplan, H. Ertunc","doi":"10.1109/CEIT.2018.8751946","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751946","url":null,"abstract":"The ball and plate system, which has more than one variable, is a non-linear system. The stability of the ball and plate system can be performed when the ball is moved to any desired coordinates on the plate or to the desired orbit. The degree of freedom of the ball and plate system is greater than the number of actuators that move the system. Therefore, the control of the system is a difficult problem. There is friction, measurement delays and unstable parameters that can affect the system control negatively. The designed physical model was implemented using Arduino Uno R3 development card by using PID, Sliding Mode Control (SMC) and Fuzzy Logic Control (FLC) methods through LabVIEW environment. For this aim, a user interface is created on the Labview program and a system design is implemented in which control parameters can be changed or different control algorithms can be tested.","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":"128912542","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.2018.8751942
U. Ansari, I. Mehedi, A. Bajodah, U. Al-Saggaf
This paper presents the balance control design using Robust Generalized Dynamic Inversion (RGDI) for Rotary Double Inverted Pendulum (RDIP) system. The RGDI control comprised of the particular part and the robust control element. The particular part is responsible to enforce the constraint dynamics based on the attitude deviation functions, and is inverted using Moore-Penrose Generalized Inverse (MPGI) to obtain the control law. An additional robust term based on the concept of sliding mode is integrated to enhance the robust characteristics against system nonlinearities, uncertainties and disturbances. The singularity problem is addressed by incorporating a dynamic scale factor in the expression of MPGI. The proposed RGDI control will guarantee semi-global practically stable angular position tracking of the horizontal rotary arm and the stabilization of the two pendulums at the upright position. Numerical simulations are carried out on the RDIP simulator to analyze the controller performance.
{"title":"Robust Generalized Dynamic Inversion Control for Stabilizing Rotary Double Inverted Pendulum","authors":"U. Ansari, I. Mehedi, A. Bajodah, U. Al-Saggaf","doi":"10.1109/CEIT.2018.8751942","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751942","url":null,"abstract":"This paper presents the balance control design using Robust Generalized Dynamic Inversion (RGDI) for Rotary Double Inverted Pendulum (RDIP) system. The RGDI control comprised of the particular part and the robust control element. The particular part is responsible to enforce the constraint dynamics based on the attitude deviation functions, and is inverted using Moore-Penrose Generalized Inverse (MPGI) to obtain the control law. An additional robust term based on the concept of sliding mode is integrated to enhance the robust characteristics against system nonlinearities, uncertainties and disturbances. The singularity problem is addressed by incorporating a dynamic scale factor in the expression of MPGI. The proposed RGDI control will guarantee semi-global practically stable angular position tracking of the horizontal rotary arm and the stabilization of the two pendulums at the upright position. Numerical simulations are carried out on the RDIP simulator to analyze the controller performance.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"6 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":"126681886","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.2018.8751893
A. I. Savran, T. Kumbasar
The automation project with vision based positioning by using ABB IRB 140 robot is proposed, the coordinate transformation and camera calibration is applied, two types gas leakage test for HP dryers are proposed and the image processing algorithms for welding points of gas leakage test by dividing three areas of chassis are proposed. For this purpose, the robotic automation system has been installed and the real-time experimental studies are performed to show the effectiveness of the vision based positioning ABB IRB 140 robot for the gas leakage test by presentation the derivations of welding points positions.
{"title":"A Vision Based Positioning Gas Leakage Test Automation System","authors":"A. I. Savran, T. Kumbasar","doi":"10.1109/CEIT.2018.8751893","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751893","url":null,"abstract":"The automation project with vision based positioning by using ABB IRB 140 robot is proposed, the coordinate transformation and camera calibration is applied, two types gas leakage test for HP dryers are proposed and the image processing algorithms for welding points of gas leakage test by dividing three areas of chassis are proposed. For this purpose, the robotic automation system has been installed and the real-time experimental studies are performed to show the effectiveness of the vision based positioning ABB IRB 140 robot for the gas leakage test by presentation the derivations of welding points positions.","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":"126094152","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.2018.8751895
B. Ataşlar-Ayyıldız, O. Karahan
This study deals with a fractional order PID (FOPID) controller tuned by Cuckoo Search (CS) algorithm for the trajectory tracking control of a highly nonlinear 3 DOF robotic manipulator. For the purpose of comparison, a traditional PID controller is also tuned by CS. In order to optimize the controllers’ parameters, four different time domain cost functions are used. The robustness test of the tuned controllers is also investigated for a different trajectory. Finally, the simulation results reveal that the proposed FOPID controller can not only assure excellent tracking performance in Joint space, but also improves the robustness of the system for the different trajectory.
{"title":"Tuning of Fractional Order PID Controller using CS Algorithm for Trajectory Tracking Control","authors":"B. Ataşlar-Ayyıldız, O. Karahan","doi":"10.1109/CEIT.2018.8751895","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751895","url":null,"abstract":"This study deals with a fractional order PID (FOPID) controller tuned by Cuckoo Search (CS) algorithm for the trajectory tracking control of a highly nonlinear 3 DOF robotic manipulator. For the purpose of comparison, a traditional PID controller is also tuned by CS. In order to optimize the controllers’ parameters, four different time domain cost functions are used. The robustness test of the tuned controllers is also investigated for a different trajectory. Finally, the simulation results reveal that the proposed FOPID controller can not only assure excellent tracking performance in Joint space, but also improves the robustness of the system for the different trajectory.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"6 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":"126748393","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.2018.8751809
M. Fotuhi, Zied Ben Hazem, Z. Bingül
Dual Twin Rotor Aero-dynamical Helicopter System (DTAHS) include nonlinearities due to frictions in the horizontal and vertical joints. In this study, an adaptive friction coefficients estimation model was developed to estimate the joint frictions of the Two DOF Double Dual Twin Rotor Aero-dynamical Helicopter System (TDDTRAHS) and compared with existing Linear and Non-Linear friction models. Joint accelerations of TDDTRAHS were classified into three different groups, for example low, medium and high. The adaptive friction coefficients were optimized based on this classification of acceleration. Based on the position RMSEs obtained from each joint friction model, the adaptive friction estimation method was much better than the existing friction estimation models in the literature. the joint frictions of the TDDTRAHS are estimated better using the Adaptive Non-Linear Friction Model (ANLFM). A robust mathematical model with ANLFM was developed for simulation and controller, which will be used in the inverse dynamic model for the PID controller. PID controllers designed based on the mathematical model with ANLFM. Accurate inverse model and the joint friction compensation improved PID controller performance for the TDDTRAHS.
{"title":"Adaptive Joint Friction Estimation Model For Laboratory 2 DOF Double Dual Twin Rotor Aerodynamical Helicopter System","authors":"M. Fotuhi, Zied Ben Hazem, Z. Bingül","doi":"10.1109/CEIT.2018.8751809","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751809","url":null,"abstract":"Dual Twin Rotor Aero-dynamical Helicopter System (DTAHS) include nonlinearities due to frictions in the horizontal and vertical joints. In this study, an adaptive friction coefficients estimation model was developed to estimate the joint frictions of the Two DOF Double Dual Twin Rotor Aero-dynamical Helicopter System (TDDTRAHS) and compared with existing Linear and Non-Linear friction models. Joint accelerations of TDDTRAHS were classified into three different groups, for example low, medium and high. The adaptive friction coefficients were optimized based on this classification of acceleration. Based on the position RMSEs obtained from each joint friction model, the adaptive friction estimation method was much better than the existing friction estimation models in the literature. the joint frictions of the TDDTRAHS are estimated better using the Adaptive Non-Linear Friction Model (ANLFM). A robust mathematical model with ANLFM was developed for simulation and controller, which will be used in the inverse dynamic model for the PID controller. PID controllers designed based on the mathematical model with ANLFM. Accurate inverse model and the joint friction compensation improved PID controller performance for the TDDTRAHS.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"310 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":"124414088","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.2018.8751807
H. Denoun, Mohamed Lamine Hamida, A. Fekik, Dyhia Kais, M. Ghanes
A two-cell power chopper system will be studied in this paper. The topology of this chopper is based on a combination of two cell switching interconnected via a flying capacitor. The system is a particular hybrid dynamical one which induces new and difficult control problems. In this paper, such problem is tackled by a new control concept based on Petri Nets modeling. The main advantage of this control is to use a discrete event algorithm for both current tracking and capacitor voltage balancing with the ability to drive directly the chopper switching components, by respecting the tolerance errors of load current and capacitor voltage. Simulation and experiment tests are carried out to verify the feasibility and effectiveness of the proposed control. The obtained results show that; the proposed controller presents good performances, in terms of both current tracking and voltage balancing compared to conventional existing controls according to the variation of the tolerance errors.
{"title":"Petri Nets Modeling for Two-Cell Chopper Control Using DSPACE 1104","authors":"H. Denoun, Mohamed Lamine Hamida, A. Fekik, Dyhia Kais, M. Ghanes","doi":"10.1109/CEIT.2018.8751807","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751807","url":null,"abstract":"A two-cell power chopper system will be studied in this paper. The topology of this chopper is based on a combination of two cell switching interconnected via a flying capacitor. The system is a particular hybrid dynamical one which induces new and difficult control problems. In this paper, such problem is tackled by a new control concept based on Petri Nets modeling. The main advantage of this control is to use a discrete event algorithm for both current tracking and capacitor voltage balancing with the ability to drive directly the chopper switching components, by respecting the tolerance errors of load current and capacitor voltage. Simulation and experiment tests are carried out to verify the feasibility and effectiveness of the proposed control. The obtained results show that; the proposed controller presents good performances, in terms of both current tracking and voltage balancing compared to conventional existing controls according to the variation of the tolerance errors.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"43 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":"133638175","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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