Pub Date : 2023-04-21DOI: 10.1109/ICCAR57134.2023.10151715
Hao Zeng, Zehua Ye, Dan Zhang
To solve the problem of cooperative control of connected vehicle platoon with parameter uncertainty, this paper proposes a robust model predictive control (RMPC) algorithm which can tolerate the certain parameter uncertainty. A sufficient condition in the form of linear matrix inequalities (LMIs) that guarantees the stability of connected vehicle platoon system with model uncertainty is obtained by using our proposed RMPC algorithm. The optimal feedback control law for the system is obtained by solving some LMIs online at each sampling moment. Finally, the effectiveness of proposed control algorithm is demonstrated through a simulation study of the connected vehicle platoon control system.
{"title":"Robust Model Predictive Control Based Cooperative Control of Uncertain Connected Vehicle Platoon Systems","authors":"Hao Zeng, Zehua Ye, Dan Zhang","doi":"10.1109/ICCAR57134.2023.10151715","DOIUrl":"https://doi.org/10.1109/ICCAR57134.2023.10151715","url":null,"abstract":"To solve the problem of cooperative control of connected vehicle platoon with parameter uncertainty, this paper proposes a robust model predictive control (RMPC) algorithm which can tolerate the certain parameter uncertainty. A sufficient condition in the form of linear matrix inequalities (LMIs) that guarantees the stability of connected vehicle platoon system with model uncertainty is obtained by using our proposed RMPC algorithm. The optimal feedback control law for the system is obtained by solving some LMIs online at each sampling moment. Finally, the effectiveness of proposed control algorithm is demonstrated through a simulation study of the connected vehicle platoon control system.","PeriodicalId":347150,"journal":{"name":"2023 9th International Conference on Control, Automation and Robotics (ICCAR)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126972904","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 : 2023-04-21DOI: 10.1109/ICCAR57134.2023.10151728
Bowen Cheng, Dan Wang, Jiaxiang Niu, Xiaoda Li, Shenshen Luan
The onboard processing technology based on remote sensing images has become the focus of current research area and received widespread attention. With the increasing amount of onboard data, how to extract effective information from massive data becomes increasingly important. In this paper, a novel sparse collective formation recognizing method is proposed to detect and analyze the formation of the surface ship formation. Firstly, a mobilenet is trained to detect the carrier and single ships to form a binary encoded map, which will be segmented by the DBSCAN method to extract the suspected formation. Then the binary encoded map is processed by the convolutional radon transformation and the result is compared with the standard confidential dataset (SCD) of three formations. Finally the formation type, confidential probability, direction of the surface ship formation was given by the comparison result which has the minimum root-mean-square-error (RMSE) with the SCD. The experimental results show that the proposed method can recognize the ‘Y’, ‘T’ and ‘I’ type surface ship formations with different offsets under more than 60% confidential probability and has a significant feasibility and robustness.
{"title":"Convolutional Radon Transformation Method for Sparse Collective Recognizing","authors":"Bowen Cheng, Dan Wang, Jiaxiang Niu, Xiaoda Li, Shenshen Luan","doi":"10.1109/ICCAR57134.2023.10151728","DOIUrl":"https://doi.org/10.1109/ICCAR57134.2023.10151728","url":null,"abstract":"The onboard processing technology based on remote sensing images has become the focus of current research area and received widespread attention. With the increasing amount of onboard data, how to extract effective information from massive data becomes increasingly important. In this paper, a novel sparse collective formation recognizing method is proposed to detect and analyze the formation of the surface ship formation. Firstly, a mobilenet is trained to detect the carrier and single ships to form a binary encoded map, which will be segmented by the DBSCAN method to extract the suspected formation. Then the binary encoded map is processed by the convolutional radon transformation and the result is compared with the standard confidential dataset (SCD) of three formations. Finally the formation type, confidential probability, direction of the surface ship formation was given by the comparison result which has the minimum root-mean-square-error (RMSE) with the SCD. The experimental results show that the proposed method can recognize the ‘Y’, ‘T’ and ‘I’ type surface ship formations with different offsets under more than 60% confidential probability and has a significant feasibility and robustness.","PeriodicalId":347150,"journal":{"name":"2023 9th International Conference on Control, Automation and Robotics (ICCAR)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126010741","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 : 2023-04-21DOI: 10.1109/ICCAR57134.2023.10151698
Shawn Jun Jie Pang, Andrew Keong Ng
A third rail joint is an indispensable asset ensuring electrical continuity and third rail alignment in a railway network. When a faulty third rail joint issue is reported during train revenue service, track maintenance staff will implement an interim solution to address it. However, considerable time and effort are often spent on the emergency recovery process. This paper, therefore, aims to design, develop, and implement an Emergency Third Rail Fishplate Joint Clamp (ETJC) that can effectively and efficiently overcome faulty third rail joint issues, while minimizing operational costs. ETJC design, modeling, and simulation were performed using Creo Parametric and Ansys software packages. A static structural analysis of ETJC was conducted. Materials for manufacturing ETJC were carefully selected to withstand any loading and environmental conditions that may occur on the ground. The ETJC was implemented in a train depot track and evaluated via hammer impact tests. Acceleration signals were acquired and analyzed at different locations on the third rail joint with ETJC. Results from simulation and field experiments are consistent and promising, thereby implying that the ETJC can firmly support and align a defective third rail joint.
{"title":"Design, Development and Implementation of an Effective and Efficient Emergency Third Rail Fishplate Joint Clamp","authors":"Shawn Jun Jie Pang, Andrew Keong Ng","doi":"10.1109/ICCAR57134.2023.10151698","DOIUrl":"https://doi.org/10.1109/ICCAR57134.2023.10151698","url":null,"abstract":"A third rail joint is an indispensable asset ensuring electrical continuity and third rail alignment in a railway network. When a faulty third rail joint issue is reported during train revenue service, track maintenance staff will implement an interim solution to address it. However, considerable time and effort are often spent on the emergency recovery process. This paper, therefore, aims to design, develop, and implement an Emergency Third Rail Fishplate Joint Clamp (ETJC) that can effectively and efficiently overcome faulty third rail joint issues, while minimizing operational costs. ETJC design, modeling, and simulation were performed using Creo Parametric and Ansys software packages. A static structural analysis of ETJC was conducted. Materials for manufacturing ETJC were carefully selected to withstand any loading and environmental conditions that may occur on the ground. The ETJC was implemented in a train depot track and evaluated via hammer impact tests. Acceleration signals were acquired and analyzed at different locations on the third rail joint with ETJC. Results from simulation and field experiments are consistent and promising, thereby implying that the ETJC can firmly support and align a defective third rail joint.","PeriodicalId":347150,"journal":{"name":"2023 9th International Conference on Control, Automation and Robotics (ICCAR)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121594212","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 : 2023-04-21DOI: 10.1109/ICCAR57134.2023.10151736
Xin Wang, Fan Xu, Yan Ye, Yishen Xu
Aiming at the problem of courier slip information extraction in a complex environment, a courier slip image enhancement and detection algorithm based on affine transformation is studied and proposed, which enhances the courier bill image in a complex environment by gamma transformation and automatic color equalization algorithm, and quickly locates the courier slip subject based on the barcode position in combination with the actual situation Then the affine transformation is introduced to detect the courier slip. Simulation and comparison experiment is conducted using Python and OpenCV, the results of which show that the algorithm can effectively improve the traditional OCR algorithm when the picture has low brightness or high exposure, the courier bill has a small proportion in the picture and the direction is difficult to determine, and improve the positioning efficiency and recognition success rate of the courier slips. It can be combined with technologies such as robotic arms and AGV omnidirectional mobile chassis and is widely used in various sorting scenarios such as logistics transfer.
{"title":"Image Enhancement and Detection of Courier Slips Based on Affine Transform","authors":"Xin Wang, Fan Xu, Yan Ye, Yishen Xu","doi":"10.1109/ICCAR57134.2023.10151736","DOIUrl":"https://doi.org/10.1109/ICCAR57134.2023.10151736","url":null,"abstract":"Aiming at the problem of courier slip information extraction in a complex environment, a courier slip image enhancement and detection algorithm based on affine transformation is studied and proposed, which enhances the courier bill image in a complex environment by gamma transformation and automatic color equalization algorithm, and quickly locates the courier slip subject based on the barcode position in combination with the actual situation Then the affine transformation is introduced to detect the courier slip. Simulation and comparison experiment is conducted using Python and OpenCV, the results of which show that the algorithm can effectively improve the traditional OCR algorithm when the picture has low brightness or high exposure, the courier bill has a small proportion in the picture and the direction is difficult to determine, and improve the positioning efficiency and recognition success rate of the courier slips. It can be combined with technologies such as robotic arms and AGV omnidirectional mobile chassis and is widely used in various sorting scenarios such as logistics transfer.","PeriodicalId":347150,"journal":{"name":"2023 9th International Conference on Control, Automation and Robotics (ICCAR)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126092091","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 : 2023-04-21DOI: 10.1109/ICCAR57134.2023.10151748
Yuxin Sun, Li Su, Shouzheng Yuan, Hao Meng
Instance segmentation technology has great application in the field of intelligent ships. However, existing methods still have many problems when used directly for ship instance segmentation. For the problems of imprecise bounding box and poor segmentation of detailed contour of ships. We propose a new Cascade Aggregation Network (CAN) for ship instance segmentation. The GIoU loss function is used to optimize the bounding box. And we propose an aggregation segmentation net-work with multi-scale edge aggregation information can improve mask. Finally, CAN can predict more accurate bounding boxes and generates higher quality masks. Experimental comparison and visual analysis show that our CAN outperforms Cascade Mask R-CNN on the ship instance segmentation dataset.
{"title":"Cascade Aggregation Network for Ship Instance Segmentation","authors":"Yuxin Sun, Li Su, Shouzheng Yuan, Hao Meng","doi":"10.1109/ICCAR57134.2023.10151748","DOIUrl":"https://doi.org/10.1109/ICCAR57134.2023.10151748","url":null,"abstract":"Instance segmentation technology has great application in the field of intelligent ships. However, existing methods still have many problems when used directly for ship instance segmentation. For the problems of imprecise bounding box and poor segmentation of detailed contour of ships. We propose a new Cascade Aggregation Network (CAN) for ship instance segmentation. The GIoU loss function is used to optimize the bounding box. And we propose an aggregation segmentation net-work with multi-scale edge aggregation information can improve mask. Finally, CAN can predict more accurate bounding boxes and generates higher quality masks. Experimental comparison and visual analysis show that our CAN outperforms Cascade Mask R-CNN on the ship instance segmentation dataset.","PeriodicalId":347150,"journal":{"name":"2023 9th International Conference on Control, Automation and Robotics (ICCAR)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127377342","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 : 2023-04-21DOI: 10.1109/ICCAR57134.2023.10151702
Yi Wei, Haiqin Xu
In order to deal with the scenario that require high flexibility in obstacle avoidance, such as urban roads, this paper proposes an autonomous driving path planning algorithm based on quadratic programming (QP). The algorithm proposes an obstacle avoidance cost based on Frenet frame, which can not only satisfy the characteristics of the positive definite quadratic form of the cost function, but also add the obstacle avoidance cost as a soft constraint, and then adapts an iterative solution strategy. The candidate paths are generated by solving the QP problem, the algorithm will output the optimal path, which satisfy the collision detection. The simulation test shows that the algorithm can deal with nudge, lane change and complex obstacle avoidance scenarios.
{"title":"Path Planning of Autonomous Driving Based on Quadratic Optimization","authors":"Yi Wei, Haiqin Xu","doi":"10.1109/ICCAR57134.2023.10151702","DOIUrl":"https://doi.org/10.1109/ICCAR57134.2023.10151702","url":null,"abstract":"In order to deal with the scenario that require high flexibility in obstacle avoidance, such as urban roads, this paper proposes an autonomous driving path planning algorithm based on quadratic programming (QP). The algorithm proposes an obstacle avoidance cost based on Frenet frame, which can not only satisfy the characteristics of the positive definite quadratic form of the cost function, but also add the obstacle avoidance cost as a soft constraint, and then adapts an iterative solution strategy. The candidate paths are generated by solving the QP problem, the algorithm will output the optimal path, which satisfy the collision detection. The simulation test shows that the algorithm can deal with nudge, lane change and complex obstacle avoidance scenarios.","PeriodicalId":347150,"journal":{"name":"2023 9th International Conference on Control, Automation and Robotics (ICCAR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129132494","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 : 2023-04-21DOI: 10.1109/ICCAR57134.2023.10151734
Shouzheng Yuan, Zhilin Liu, Yuxin Sun, Simeng Song, Zhongxin Wang
Trajectory planning plays an important role in the automatic berthing of Unmanned Surface Vessel (USV). This study proposes IA*QB approach for the USV's berthing trajectory planning in the harbor. First, a global path is obtained by the A * algorithm. Considering the path generated by the traditional A * algorithm is unsuitable for the USV to track at the corners, quasi B-spline is employed to smooth the path. Subsequently, path points with approximately equal spacing are selected as waypoints in the trajectory. Furthermore, the quadratic interpolation method is proposed at the end of the berthing trajectory. Thus, the USV's velocity can be decreased to zero linearly. Simulation results show the effectiveness and the superiority of the proposed approach.
{"title":"IA*QB: An Efficient Trajectory Planning Approach for the Automatic Berthing of Unmanned Surface Vessel","authors":"Shouzheng Yuan, Zhilin Liu, Yuxin Sun, Simeng Song, Zhongxin Wang","doi":"10.1109/ICCAR57134.2023.10151734","DOIUrl":"https://doi.org/10.1109/ICCAR57134.2023.10151734","url":null,"abstract":"Trajectory planning plays an important role in the automatic berthing of Unmanned Surface Vessel (USV). This study proposes IA*QB approach for the USV's berthing trajectory planning in the harbor. First, a global path is obtained by the A * algorithm. Considering the path generated by the traditional A * algorithm is unsuitable for the USV to track at the corners, quasi B-spline is employed to smooth the path. Subsequently, path points with approximately equal spacing are selected as waypoints in the trajectory. Furthermore, the quadratic interpolation method is proposed at the end of the berthing trajectory. Thus, the USV's velocity can be decreased to zero linearly. Simulation results show the effectiveness and the superiority of the proposed approach.","PeriodicalId":347150,"journal":{"name":"2023 9th International Conference on Control, Automation and Robotics (ICCAR)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127620218","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 : 2023-04-21DOI: 10.1109/ICCAR57134.2023.10151723
Jie Luo, Zhengshuai Yin, Linqiu Gui, Xu Yang
Robot positioning system is difficult to locate in large area and complex environment. In order to compensate for the impact of indoor and outdoor scene changes, an indoor and outdoor positioning system based on GPS / UWB is proposed, which can realize seamless positioning between buildings in mixed scenes. In view of this, this paper integrates UWB and GPS information into the Ceres nonlinear optimization framework. In the outdoor scene, GPS is used for positioning. In the indoor scene, UWB is used to improve the accuracy of indoor positioning. In the mixed scene, UWB and GPS are used to improve the positioning accuracy and realize indoor and outdoor seamless positioning.
{"title":"Accurate Localization for Indoor and Outdoor Scenario by GPS and UWB Fusion","authors":"Jie Luo, Zhengshuai Yin, Linqiu Gui, Xu Yang","doi":"10.1109/ICCAR57134.2023.10151723","DOIUrl":"https://doi.org/10.1109/ICCAR57134.2023.10151723","url":null,"abstract":"Robot positioning system is difficult to locate in large area and complex environment. In order to compensate for the impact of indoor and outdoor scene changes, an indoor and outdoor positioning system based on GPS / UWB is proposed, which can realize seamless positioning between buildings in mixed scenes. In view of this, this paper integrates UWB and GPS information into the Ceres nonlinear optimization framework. In the outdoor scene, GPS is used for positioning. In the indoor scene, UWB is used to improve the accuracy of indoor positioning. In the mixed scene, UWB and GPS are used to improve the positioning accuracy and realize indoor and outdoor seamless positioning.","PeriodicalId":347150,"journal":{"name":"2023 9th International Conference on Control, Automation and Robotics (ICCAR)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127648868","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}
In this paper, an integrated controller was designed to perform the multi-axis contouring tracking control tasks of networked motion control systems under the influence of external disturbance and measurement noise. To suppress this influence in single-axis tracking, an improved equivalent-input-disturbance (EID)-based single-axis controller is designed to enhance the tracking precision. Then, cross-coupling control (CCC) is utilized for compensation control between each axis, thereby further improving the efficiency and accuracy of contouring tracking control. Finally, comparative experiments are presented to fully illustrate the effectiveness and superiority of the method.
{"title":"Contour Tracking Control of Networked Motion Control System Using Improved Equivalent-Input-Disturbance Approach","authors":"Wenjie Lin, Guangpu Huang, Qun Lu, Lifeng Luo, Xiang Wu, Dan Zhang","doi":"10.1109/ICCAR57134.2023.10151710","DOIUrl":"https://doi.org/10.1109/ICCAR57134.2023.10151710","url":null,"abstract":"In this paper, an integrated controller was designed to perform the multi-axis contouring tracking control tasks of networked motion control systems under the influence of external disturbance and measurement noise. To suppress this influence in single-axis tracking, an improved equivalent-input-disturbance (EID)-based single-axis controller is designed to enhance the tracking precision. Then, cross-coupling control (CCC) is utilized for compensation control between each axis, thereby further improving the efficiency and accuracy of contouring tracking control. Finally, comparative experiments are presented to fully illustrate the effectiveness and superiority of the method.","PeriodicalId":347150,"journal":{"name":"2023 9th International Conference on Control, Automation and Robotics (ICCAR)","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115992214","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 : 2023-04-21DOI: 10.1109/ICCAR57134.2023.10151767
Marcelo Miguel De la Cruz-Calderon, Cesar Elmer Taboada-Perez, Axel Anyelo Luque-Saico, Juan Jose Bullon-Rosas
The automation processes in the construction area have been covering the planning and control of obtaining fibers to improve the properties of concrete in an environmentally sustainable way. This work develops the automation for obtaining banana fiber, which will be detailed and controlled by an HMI, to then improve the physical and mechanical properties of concrete in the compressive strength, modulus of rupture, diametral tensile strength. Tia Portal, Factory IO and LabViewsoftware were used for the process of obtaining banana fiber and by means of the Peruvian standard MTC/14, the physical and mechanical properties of the concrete were evaluated. It was obtained that placing 3% of the fiber in a concrete designed for a compressive strength $boldsymbol{text{fc}=210text{kg}/text{cm}^{2}}$, improved the compressive strength to $boldsymbol{mathrm{f}^{prime}c}=boldsymbol{315.5text{kg}/text{cm}^{2}}$, modulus of rupture of $boldsymbol{4{9}.6text{kg}/text{cm}^{2}}$, diametral tensile strength of $boldsymbol{31.4text{kg}/text{cm}^{2}}$, which were evaluated at 28 days.
{"title":"Automation of Banana Fiber for the Improvement of the Mechanical Properties of Concrete","authors":"Marcelo Miguel De la Cruz-Calderon, Cesar Elmer Taboada-Perez, Axel Anyelo Luque-Saico, Juan Jose Bullon-Rosas","doi":"10.1109/ICCAR57134.2023.10151767","DOIUrl":"https://doi.org/10.1109/ICCAR57134.2023.10151767","url":null,"abstract":"The automation processes in the construction area have been covering the planning and control of obtaining fibers to improve the properties of concrete in an environmentally sustainable way. This work develops the automation for obtaining banana fiber, which will be detailed and controlled by an HMI, to then improve the physical and mechanical properties of concrete in the compressive strength, modulus of rupture, diametral tensile strength. Tia Portal, Factory IO and LabViewsoftware were used for the process of obtaining banana fiber and by means of the Peruvian standard MTC/14, the physical and mechanical properties of the concrete were evaluated. It was obtained that placing 3% of the fiber in a concrete designed for a compressive strength $boldsymbol{text{fc}=210text{kg}/text{cm}^{2}}$, improved the compressive strength to $boldsymbol{mathrm{f}^{prime}c}=boldsymbol{315.5text{kg}/text{cm}^{2}}$, modulus of rupture of $boldsymbol{4{9}.6text{kg}/text{cm}^{2}}$, diametral tensile strength of $boldsymbol{31.4text{kg}/text{cm}^{2}}$, which were evaluated at 28 days.","PeriodicalId":347150,"journal":{"name":"2023 9th International Conference on Control, Automation and Robotics (ICCAR)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131054962","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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