Pub Date : 2023-03-15DOI: 10.1109/ICM54990.2023.10101985
Yuki Saito, H. Asai, T. Kitamura, K. Ohnishi
Teleoperation with hydraulic actuator is useful for human action augmentation. However, disturbances in hydraulic actuators are complex and accurate estimation of external forces is difficult. In this paper, a reaction force observer and machine learning are combined to achieve high accuracy sensorless force estimation in hydraulic actuator. Furthermore, this method is applied to a bilateral control system to improve its performance. While there are many machine learning methods, this paper uses a Long Short-Term Memory network, a type of recurrent neural network that excels at inferring time series data, to accurately infer the hysteresis characteristics of disturbances in hydraulic actuator. Furthermore, 4ch bilateral control based on oblique coordinate control is used to realize teleoperation. In the experiment, a friction model-based compensation method and a machine learning-based compensation method are applied to bilateral control, and the performance of each method is evaluated.
{"title":"Machine Learning-Based Performance Improvement of Bilateral Teleoperation with Hydraulic Actuator","authors":"Yuki Saito, H. Asai, T. Kitamura, K. Ohnishi","doi":"10.1109/ICM54990.2023.10101985","DOIUrl":"https://doi.org/10.1109/ICM54990.2023.10101985","url":null,"abstract":"Teleoperation with hydraulic actuator is useful for human action augmentation. However, disturbances in hydraulic actuators are complex and accurate estimation of external forces is difficult. In this paper, a reaction force observer and machine learning are combined to achieve high accuracy sensorless force estimation in hydraulic actuator. Furthermore, this method is applied to a bilateral control system to improve its performance. While there are many machine learning methods, this paper uses a Long Short-Term Memory network, a type of recurrent neural network that excels at inferring time series data, to accurately infer the hysteresis characteristics of disturbances in hydraulic actuator. Furthermore, 4ch bilateral control based on oblique coordinate control is used to realize teleoperation. In the experiment, a friction model-based compensation method and a machine learning-based compensation method are applied to bilateral control, and the performance of each method is evaluated.","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"218 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123094967","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 : 2023-03-15DOI: 10.1109/icm54990.2023.10101922
Hiroki Morishita, T. Murakami
Upper limb exoskeletons are a current focus of technology for rehabilitation and assistance. Although the exoskeletons are actively researched and various applications are being explored, it poses many challenges because of their robot-human fusion of dynamics. In particular, control strategy is one of main problems to solve. Important points of the exoskeleton control are safety, usability, and prevention of insufficient/excessive assistance. Control of physical HumanRobot Interaction (pHRI) without electromyographic (EMG) measurements is one of solutions for the first and the second points. However, the exoskeletons assist based on only payload information in conventional researches and they have disadvantages in third point. Since ease of output of muscles is affected by the limb posture, assistance should be determined based on both payload and musculoskeletal information of each user. Hence, this paper aims to realize musculoskeletal model-based assistance considering ease of output of muscles. For this aim, hexagon distribution (HD)-based assistance torque calculator is proposed. HD expresses human output characteristics of a hand tip by modeling muscles of an upper limb including bi-articular muscles as 6 muscle groups. In proposed control strategy, first, the maximum human output is derived by HD. Second, it is judged whether assistance is sufficient or insufficient. Finally, assistance torque is adjusted in the case of insufficient assistance. To verify effectiveness of the proposed method, an experiment is conducted. As a result, it is confirmed that the proposed method can assist users based on their musculoskeletal characteristics.
{"title":"Assistance Torque Control Based on Musculoskeletal Hexagon Output Distribution for Upper Limb Exoskeleton","authors":"Hiroki Morishita, T. Murakami","doi":"10.1109/icm54990.2023.10101922","DOIUrl":"https://doi.org/10.1109/icm54990.2023.10101922","url":null,"abstract":"Upper limb exoskeletons are a current focus of technology for rehabilitation and assistance. Although the exoskeletons are actively researched and various applications are being explored, it poses many challenges because of their robot-human fusion of dynamics. In particular, control strategy is one of main problems to solve. Important points of the exoskeleton control are safety, usability, and prevention of insufficient/excessive assistance. Control of physical HumanRobot Interaction (pHRI) without electromyographic (EMG) measurements is one of solutions for the first and the second points. However, the exoskeletons assist based on only payload information in conventional researches and they have disadvantages in third point. Since ease of output of muscles is affected by the limb posture, assistance should be determined based on both payload and musculoskeletal information of each user. Hence, this paper aims to realize musculoskeletal model-based assistance considering ease of output of muscles. For this aim, hexagon distribution (HD)-based assistance torque calculator is proposed. HD expresses human output characteristics of a hand tip by modeling muscles of an upper limb including bi-articular muscles as 6 muscle groups. In proposed control strategy, first, the maximum human output is derived by HD. Second, it is judged whether assistance is sufficient or insufficient. Finally, assistance torque is adjusted in the case of insufficient assistance. To verify effectiveness of the proposed method, an experiment is conducted. As a result, it is confirmed that the proposed method can assist users based on their musculoskeletal characteristics.","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124916760","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 : 2023-03-15DOI: 10.1109/ICM54990.2023.10101971
M. Siddiqui, G. Kahandawa, H. Hewawasam
Industrial automation systems are excessively used in advanced manufacturing environments. These systems are always prone to failure which not only disturbs smooth manufacturing operations but can also cause injuries to operators. Therefore, in this research, a novel predictive maintenance algorithm is proposed that can be used to detect anomalies in the automation system to avoid asset failure. Artificial Intelligence enabled Digital Twin model was used to detect early anomalies to avoid catastrophic effects of equipment failure. Real-time sensor data were used to validate the proposed novel algorithm. The data were recorded via sensors mounted on the physical system. This paper presents the effectiveness of the proposed algorithm to detect anomalies in industrial automation systems under faulty conditions.
{"title":"Artificial Intelligence Enabled Digital Twin For Predictive Maintenance in Industrial Automation System: A Novel Framework and Case Study","authors":"M. Siddiqui, G. Kahandawa, H. Hewawasam","doi":"10.1109/ICM54990.2023.10101971","DOIUrl":"https://doi.org/10.1109/ICM54990.2023.10101971","url":null,"abstract":"Industrial automation systems are excessively used in advanced manufacturing environments. These systems are always prone to failure which not only disturbs smooth manufacturing operations but can also cause injuries to operators. Therefore, in this research, a novel predictive maintenance algorithm is proposed that can be used to detect anomalies in the automation system to avoid asset failure. Artificial Intelligence enabled Digital Twin model was used to detect early anomalies to avoid catastrophic effects of equipment failure. Real-time sensor data were used to validate the proposed novel algorithm. The data were recorded via sensors mounted on the physical system. This paper presents the effectiveness of the proposed algorithm to detect anomalies in industrial automation systems under faulty conditions.","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126251180","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 : 2023-03-15DOI: 10.1109/ICM54990.2023.10101912
Tuojian Lyu, Andrej Lashchev, Sandeep Patil, Udayanto Dwi Atmojo, V. Vyatkin
This paper presents a swarm-based architecture for the composition of mechatronic systems from smart components complemented by a Virtual Commissioning (VC) environment. The architecture is based on the IEC 61499 standard. The proposed solution enables plug-and-play composition of the system which is ready to operate ”out of the box” right after it was composed without extra programming.
{"title":"Mechatronic Swarm and its Virtual Commissioning","authors":"Tuojian Lyu, Andrej Lashchev, Sandeep Patil, Udayanto Dwi Atmojo, V. Vyatkin","doi":"10.1109/ICM54990.2023.10101912","DOIUrl":"https://doi.org/10.1109/ICM54990.2023.10101912","url":null,"abstract":"This paper presents a swarm-based architecture for the composition of mechatronic systems from smart components complemented by a Virtual Commissioning (VC) environment. The architecture is based on the IEC 61499 standard. The proposed solution enables plug-and-play composition of the system which is ready to operate ”out of the box” right after it was composed without extra programming.","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"432 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131920193","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 : 2023-03-15DOI: 10.1109/ICM54990.2023.10101957
Eitaro Kuroda, Hiroaki Noda, Y. Maeda, M. Iwasaki
In industrial servo systems, cascade feedback (FB)control systems are widely used for the high-speed and highaccuracy positioning control. In general, since the parameter design for the multiple controllers is a time-consuming task that requires expert skills for designers, development of an autonomous design method based on mathematical optimization becomes a major challenge. In this paper, a cooperative optimization method presented recently for single-loop FB controller design is applied to an example position/velocity cascade controller design for a laboratory piezoelectric-driven fast steering mirror, in comparison with the conventional autonomous design method based on a genetic algorithm (GA). In addition, a practical feasible initial parameter design method in cooperative optimization for the cascade controller design is newly presented to realize the efficient autonomous design.
{"title":"Cooperative optimization-Based Efficient Autonomous Parameter Design for Cascade Feedback Control System","authors":"Eitaro Kuroda, Hiroaki Noda, Y. Maeda, M. Iwasaki","doi":"10.1109/ICM54990.2023.10101957","DOIUrl":"https://doi.org/10.1109/ICM54990.2023.10101957","url":null,"abstract":"In industrial servo systems, cascade feedback (FB)control systems are widely used for the high-speed and highaccuracy positioning control. In general, since the parameter design for the multiple controllers is a time-consuming task that requires expert skills for designers, development of an autonomous design method based on mathematical optimization becomes a major challenge. In this paper, a cooperative optimization method presented recently for single-loop FB controller design is applied to an example position/velocity cascade controller design for a laboratory piezoelectric-driven fast steering mirror, in comparison with the conventional autonomous design method based on a genetic algorithm (GA). In addition, a practical feasible initial parameter design method in cooperative optimization for the cascade controller design is newly presented to realize the efficient autonomous design.","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131041745","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 : 2023-03-15DOI: 10.1109/ICM54990.2023.10101987
Erim Can Ozcinar, O. Bebek, B. Ugurlu
This paper proposes a method to distribute contact forces to eliminate undesired torso orientation fluctuations and regulate heading during dynamic quadruped trot-walking motion. The proposed method makes use of centroidal momentum, an essential physical quantity in characterizing the whole-body behavior and overall balance of the robot. The contact forces are computed using centroidal momentum feedback and injected into the locomotion controller via virtual model control, which can render virtual forces to regulate robot-environment interaction. In combining the virtual model control and centroidal momentum feedback, one can attain dynamically feasible contact force distribution, a key objective in controlling dynamic quadruped locomotion. In order to validate the proposed method, a series of simulation experiments were conducted using a realistic model of our quadruped robot Kara. As a result, we obtained dynamically consistent trot-walking behavior in which torso orientation and heading were well regulated.
{"title":"Contact Force Distribution Using Centroidal Momentum Feedback for Quadruped Locomotion","authors":"Erim Can Ozcinar, O. Bebek, B. Ugurlu","doi":"10.1109/ICM54990.2023.10101987","DOIUrl":"https://doi.org/10.1109/ICM54990.2023.10101987","url":null,"abstract":"This paper proposes a method to distribute contact forces to eliminate undesired torso orientation fluctuations and regulate heading during dynamic quadruped trot-walking motion. The proposed method makes use of centroidal momentum, an essential physical quantity in characterizing the whole-body behavior and overall balance of the robot. The contact forces are computed using centroidal momentum feedback and injected into the locomotion controller via virtual model control, which can render virtual forces to regulate robot-environment interaction. In combining the virtual model control and centroidal momentum feedback, one can attain dynamically feasible contact force distribution, a key objective in controlling dynamic quadruped locomotion. In order to validate the proposed method, a series of simulation experiments were conducted using a realistic model of our quadruped robot Kara. As a result, we obtained dynamically consistent trot-walking behavior in which torso orientation and heading were well regulated.","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123951708","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 : 2023-03-15DOI: 10.1109/icm54990.2023.10101936
Takaaki Hayashi, S. Yamada, H. Fujimoto
Demand for cooperative robots is increasing. One of their control methods is admittance control. Not many studies worked on admittance control for a plant with resonance. We aimed at designing the control system so that the whole system does not vibrate at the anti-resonance frequency of the plant. The admittance control was attributed to the torsional torque control. The effectiveness of the proposed method in vibration due to a dynamics of a two-inertia system was validated in the simulations and experiments, especially by the result of time response that showed the reduction of the overshoot by more than 30%.
{"title":"A basic study on admittance control using torsional torque control for a two-inertia system","authors":"Takaaki Hayashi, S. Yamada, H. Fujimoto","doi":"10.1109/icm54990.2023.10101936","DOIUrl":"https://doi.org/10.1109/icm54990.2023.10101936","url":null,"abstract":"Demand for cooperative robots is increasing. One of their control methods is admittance control. Not many studies worked on admittance control for a plant with resonance. We aimed at designing the control system so that the whole system does not vibrate at the anti-resonance frequency of the plant. The admittance control was attributed to the torsional torque control. The effectiveness of the proposed method in vibration due to a dynamics of a two-inertia system was validated in the simulations and experiments, especially by the result of time response that showed the reduction of the overshoot by more than 30%.","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128665648","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 : 2023-03-15DOI: 10.1109/ICM54990.2023.10102016
Ikenna Enebuse, B. K. K. Ibrahim, Ibrahim Mathias Foo, Ranveer Matharu, Hafiz Ahmed
The hand-eye calibration accuracy of a visionguided robot plays a huge role in the decision-making process of the robot during operation. The majority of work focuses on passive calibration where the calibration is done with a batch of data prior to putting the robot in service. In a previous study, ‘‘Accuracy evaluation of hand-eye calibration techniques for vision- guided robots, (2022) the accuracy of six commonly used passive calibration methods was investigated and showed good performance in terms of small rotation and translation errors. However, that investigation was carried out assuming no uncertainties in the robot operating environment. In this study, we extend that investigation by evaluating the accuracy of those six methods when the robot is operating in uncertain environments. By introducing changes in calibration parameters to mimic uncertain environments, the accuracy of the six methods deteriorates significantly suggesting a need to address this issue. We suggest in our future work, the probable deployment of active calibration to improve the accuracy and discuss some expectations and limitations associated with it.
{"title":"Accuracy Assessment of Hand-Eye Calibration Techniques in Uncertain Environments for Vision Guided Robots","authors":"Ikenna Enebuse, B. K. K. Ibrahim, Ibrahim Mathias Foo, Ranveer Matharu, Hafiz Ahmed","doi":"10.1109/ICM54990.2023.10102016","DOIUrl":"https://doi.org/10.1109/ICM54990.2023.10102016","url":null,"abstract":"The hand-eye calibration accuracy of a visionguided robot plays a huge role in the decision-making process of the robot during operation. The majority of work focuses on passive calibration where the calibration is done with a batch of data prior to putting the robot in service. In a previous study, ‘‘Accuracy evaluation of hand-eye calibration techniques for vision- guided robots, (2022) the accuracy of six commonly used passive calibration methods was investigated and showed good performance in terms of small rotation and translation errors. However, that investigation was carried out assuming no uncertainties in the robot operating environment. In this study, we extend that investigation by evaluating the accuracy of those six methods when the robot is operating in uncertain environments. By introducing changes in calibration parameters to mimic uncertain environments, the accuracy of the six methods deteriorates significantly suggesting a need to address this issue. We suggest in our future work, the probable deployment of active calibration to improve the accuracy and discuss some expectations and limitations associated with it.","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121851629","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 : 2023-03-15DOI: 10.1109/ICM54990.2023.10102000
Maliheh Hashemi, M. Stolz, D. Watzenig
To enhance the reliability of in-wheel motors, it is crucial to avoid failures in the motors, sensors and the motor drives. However, in-wheel motor structures formed on permanent magnet synchronous motors (PMSMs) and voltage source inverter (VSI) using pulse-width modulation (PWM) are fragile to power-converter component faults such as power switches. Furthermore, switching device faults accrue in the form of open circuits or short circuits. An open circuit fault imposes phase voltage imbalances to each phase voltage. This paper presents a new approach to detect the imbalanced phase voltage due to the open-circuit fault in the inverters employing a super-twisting algorithm-based sliding mode observer. The combination of proposed observer with the Extended Kalman filter (EKF) results in a robust observer which can be used under the noisy measurement conditions that are unavoidable in industrial applications. In addition, the simulated observer applies a model-based fault detection algorithm, enabling the fault to be isolated more easily and reliably than when using signal processing methods.
{"title":"Super-Twisting Algorithm-based Sliding Mode Observer for Open-Circuit Fault Diagnosis in PWM Voltage Source Inverter in an In-Wheel Motor Drive System","authors":"Maliheh Hashemi, M. Stolz, D. Watzenig","doi":"10.1109/ICM54990.2023.10102000","DOIUrl":"https://doi.org/10.1109/ICM54990.2023.10102000","url":null,"abstract":"To enhance the reliability of in-wheel motors, it is crucial to avoid failures in the motors, sensors and the motor drives. However, in-wheel motor structures formed on permanent magnet synchronous motors (PMSMs) and voltage source inverter (VSI) using pulse-width modulation (PWM) are fragile to power-converter component faults such as power switches. Furthermore, switching device faults accrue in the form of open circuits or short circuits. An open circuit fault imposes phase voltage imbalances to each phase voltage. This paper presents a new approach to detect the imbalanced phase voltage due to the open-circuit fault in the inverters employing a super-twisting algorithm-based sliding mode observer. The combination of proposed observer with the Extended Kalman filter (EKF) results in a robust observer which can be used under the noisy measurement conditions that are unavoidable in industrial applications. In addition, the simulated observer applies a model-based fault detection algorithm, enabling the fault to be isolated more easily and reliably than when using signal processing methods.","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"331 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122283685","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 : 2023-03-15DOI: 10.1109/ICM54990.2023.10102056
P. Ettler
Reliable and accurate measurement of strip input and output speeds is essential for several types of control algorithms in cold rolling mills. The combination of polynomial regression and subsequent sensor fusion can improve signal quality when it is possible to employ two speed measurement principles simultaneously. The developed algorithm, which aims to minimize the time delay inherent in conventional digital filters, is designed for online use. The data from two dissimilar rolling mills were used to test and validate the method. Issues of practical implementation of the algorithm are discussed
{"title":"Sensor Fusion Helps to Improve Strip Speed Measurement in Cold Rolling Mills","authors":"P. Ettler","doi":"10.1109/ICM54990.2023.10102056","DOIUrl":"https://doi.org/10.1109/ICM54990.2023.10102056","url":null,"abstract":"Reliable and accurate measurement of strip input and output speeds is essential for several types of control algorithms in cold rolling mills. The combination of polynomial regression and subsequent sensor fusion can improve signal quality when it is possible to employ two speed measurement principles simultaneously. The developed algorithm, which aims to minimize the time delay inherent in conventional digital filters, is designed for online use. The data from two dissimilar rolling mills were used to test and validate the method. Issues of practical implementation of the algorithm are discussed","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"2009 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129111902","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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