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2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)最新文献

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Experimental study on the stress and magnetic behavior of non-ferromagnetic materials in weak magnetic field 弱磁场下非铁磁性材料的应力和磁性行为实验研究
2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576419
Yiqi Yan, Shichao Liu, Chunsheng Yang, R. Yu, Qiangqiang Cheng
{"title":"Experimental study on the stress and magnetic behavior of non-ferromagnetic materials in weak magnetic field","authors":"Yiqi Yan, Shichao Liu, Chunsheng Yang, R. Yu, Qiangqiang Cheng","doi":"10.1109/ISIE45552.2021.9576419","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576419","url":null,"abstract":"Magnetic testing technology is one of the effective methods in the ferromagnetic materials detecting field. In order to perform the stress damage study on non-ferromagnetic materials, this paper adopts the weak magnetic detection technology which can be applied to the defect detection of ferromagnetic and non-ferromagnetic. Taking the non-ferromagnetic material, T2 copper as an example, the general process of studying nonferromagnetic materials stress and magnetic behavior by using weak magnetic detection technology has been investigated. The experimental results show that the variation laws of the surface magnetic induction intensity on the surface of non-ferromagnetic materials are consistent with the variation laws of stress, which provided the experimental basis for the application of weak magnetic monitoring technology in monitoring stress damage of non- ferromagnetic materials.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127835011","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}
引用次数: 0
A Sparse Pinning Control for Vehicle Platoon via Sequential $ell^{1}$ Optimization 基于序列$ well ^{1}$优化的车辆队列稀疏固定控制
2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576232
Takuma Wakasa, K. Sawada
{"title":"A Sparse Pinning Control for Vehicle Platoon via Sequential $ell^{1}$ Optimization","authors":"Takuma Wakasa, K. Sawada","doi":"10.1109/ISIE45552.2021.9576232","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576232","url":null,"abstract":"This paper proposes a sparse pinning control method for vehicle platoon control. Our method controls a vehicle platoon by controlling some vehicles called pinning agents. The pinning agents and control inputs are optimized to reach a target velocity and a target inter-vehicular distance. We formulate this optimization problem as sequential $ell^{1}$ sparse optimization and the input mapping. The input mapping ranks the elements from the optimized input vector in order of the size of the $ell^{1}$ norm and sets all elements smaller than the specified ranking to 0. This ranking constraint expresses a constraint of the number of pinning agents. The calculation loads of our optimization method with the constraint of the number of pinning agents are smaller than other node selection problems and $ell^{0}$ sparse optimization. The main concern of the sequential $ell^{1}$ optimization is to reduce the computational load, and the sub concern is to attenuate the String-Instability.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128945259","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}
引用次数: 0
Hand-guide Training Based on Integration of Force Information Obtained by Sensor and State Observer 基于传感器与状态观测器力信息集成的手导训练
2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576292
Yuki Nagatsu, H. Hashimoto
{"title":"Hand-guide Training Based on Integration of Force Information Obtained by Sensor and State Observer","authors":"Yuki Nagatsu, H. Hashimoto","doi":"10.1109/ISIE45552.2021.9576292","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576292","url":null,"abstract":"It is important to develop technologies to replace human works with robotic technology to solve the decline in the working population and skilled workers due to the low birthrate and increasing aging population. To preserve and pass on human skillful motions, it is considered that training by hand using a robot is effective. However, it has been difficult to separate the contact force with a target object and a force applied by the trainee to the robot in the hand-guided training system with force sensor-less control. Therefore, it is necessary to divide the robot system for guidance into a master-slave system and separate the action and reaction forces. This study proposes a hand-guided motion training system that uses and integrates two types of force information obtained from a force sensor and a state observer. Since the proposed method can separate the reaction force from the target and the trainee's action force, it is possible to construct a hand-guided motion training system without using a master-slave system. Experiments confirm the effectiveness of the proposed method.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128846646","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}
引用次数: 0
Realization of Synchronized Movement between Caregiver and Electric Wheelchair 看护者与电动轮椅同步运动的实现
2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576497
Kazuya Hirata, T. Murakami, Misako Sasayama
{"title":"Realization of Synchronized Movement between Caregiver and Electric Wheelchair","authors":"Kazuya Hirata, T. Murakami, Misako Sasayama","doi":"10.1109/ISIE45552.2021.9576497","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576497","url":null,"abstract":"A caregiver has an important role to not only help patients with high levels of disability to move around, but also be aware and manage the patient's state of health. Visual cues on the patient's expression is an especially important source of information on the patient's well-being, especially for those with high levels limitations on cue sending, such as Amyotrophic Lateral Sclerosis (ALS) patients. Thus, this paper proposes a system that enables the caregiver to control the movement of the wheelchair while waking alongside the wheelchair where they can also interact with the patient directly. The proposed approach has been validated through experiments.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128582533","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}
引用次数: 0
Semantic Segmentation and 6DoF Pose Estimation using RGB-D Images and Deep Neural Networks 基于RGB-D图像和深度神经网络的语义分割和6DoF姿态估计
2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/isie45552.2021.9576248
V. Tran, Huei-Yung Lin
{"title":"Semantic Segmentation and 6DoF Pose Estimation using RGB-D Images and Deep Neural Networks","authors":"V. Tran, Huei-Yung Lin","doi":"10.1109/isie45552.2021.9576248","DOIUrl":"https://doi.org/10.1109/isie45552.2021.9576248","url":null,"abstract":"Recently, 6DoF object pose estimation for manipulation robots is an essential task in robotic and industrial applications. While deep learning methods have gained significant object detection and semantic segmentation development, the 6DoF pose estimation task is still challenging. Specifically, it is used with visual sensors to provide a robotic manipulator's information to interact with the target objects. Thus, 6DoF pose estimation and object recognition from point clouds or RGB-D images are essential tasks for visual servoing. This paper proposes a learning-based method for estimating 6DoF object pose for manipulation robots in industrial settings. A deep convolutional neural network (CNN) for semantic segmentation on RGB images is proposed. The target object area is determined by the network, which is then combined with depth knowledge to perform 6DoF object pose estimation using the ICP algorithm. With mIOU, we built our own dataset for training and assessment. As compared to other approaches that use a limited amount of training data, our proposed approach will provide better performance. For the robotic gripping application, we used an HIWIN 6-axis robot with an Asus Xtion Live 3D camera to test and validate our solution. We show the robotic grasping application using this method, which accurately estimates 6DoF object poses and has a high success rate in robotic grasping.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116690356","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}
引用次数: 0
A Reinforcement Learning based Energy Management System for a PV and Battery Connected Microgrid System 基于强化学习的光伏与电池并网微电网能量管理系统
2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576331
R. Kosuru, Shichao Liu, H. Chaoui
{"title":"A Reinforcement Learning based Energy Management System for a PV and Battery Connected Microgrid System","authors":"R. Kosuru, Shichao Liu, H. Chaoui","doi":"10.1109/ISIE45552.2021.9576331","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576331","url":null,"abstract":"Design of a standalone renewable system to meet the load demand is always complex, as renewable sources are intermittent in nature, which causes overloading on the distribution transformer. However, incorporating a battery system in the design would help in improving the efficiency and mitigate the problem of fluctuating voltages and line loadings. In this paper, a grid-connected PV and battery systems are designed with an objective to manage the energy distribution and meet the load demand. Without the need to know the priori system dynamics, a Q-learning algorithm is used for controlling the battery charge and discharge characteristics (state of charge) based on the load demand and power generated from the PV system. An allocation scheme is developed for the effective usage of the energy sources as well as to increase the life cycle of the battery. Thus, the proposed strategy not only maintains the state of charge of the storage unit but also allocates the usage of the PV source.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116109312","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}
引用次数: 2
Quadratic Integration-exploited Model Predictive Current Control (QI-MPCC)-based Flying-Capacitor-Clamped Multilevel Converter (FCCMC) 基于二次积分利用模型预测电流控制(QI-MPCC)的飞容箝位多电平变换器(FCCMC)
2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576287
Sanghun Choi, A. Meliopoulos
{"title":"Quadratic Integration-exploited Model Predictive Current Control (QI-MPCC)-based Flying-Capacitor-Clamped Multilevel Converter (FCCMC)","authors":"Sanghun Choi, A. Meliopoulos","doi":"10.1109/ISIE45552.2021.9576287","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576287","url":null,"abstract":"The flying-capacitor-clamped multilevel converter (FCCMC) has inherent converter-leg redundant switching combinations per reference multilevel (intermediate levels) voltage due to its flying capacitors clamped to serially-connected switches. Also, it has the least hardware and control complexity among multilevel converters. Hence, FCCMC is the most prominent among multilevel converters in several-hundred-kVA and low-nominal-DC-voltage power applications. Compared to the classic linearized closed-loop controls, the model predictive current control (MPCC) provides improved closed-loop control performance and achieves multiple linear/nonlinear control objectives parallelly through a discrete mathematical model-based predicted cost-function optimization approach utilizing a finite switching combination set based on the space vector control. Hence, MPCC further enhances the FCCMC's advantages in the above DC-voltage and power ranges. But, the ordinary MPCC predicts the cost functions based on the implicit Euler method. It yields inferior closed-loop control performance unless the sampling rate is impractically high enough because the implicit Euler method is order-one accurate. This paper proposes a new MPCC methodology exploiting the quadratic integration (QI) method, QI-MPCC, for FCCMC. The QI method has an order-four accuracy by utilizing three collocation points in the cost function prediction. Therefore, it significantly improves the closed-loop control performance of MPCC-based FCCMC without requesting an impractically high sampling rate. Simulation results demonstrate the steady-state and dynamic performance of the proposed methodology.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126739667","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}
引用次数: 1
An adaptive inductance estimation technique for vector-controlled synchronous reluctance motor drive 矢量控制同步磁阻电机驱动的自适应电感估计技术
2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576235
Rajarshi Bhattacharyya, Saptarshi Basak, C. Chakraborty
{"title":"An adaptive inductance estimation technique for vector-controlled synchronous reluctance motor drive","authors":"Rajarshi Bhattacharyya, Saptarshi Basak, C. Chakraborty","doi":"10.1109/ISIE45552.2021.9576235","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576235","url":null,"abstract":"Synchronous Reluctance Machine (SynRM) has recently gained attention for electric vehicle application due to its lightweight construction. However, one of the major drawbacks of such motors is that the power factor is low. Therefore, it is important to operate such motors in the maximum power factor condition. Such an operation calls for correct values of inductance. In this paper, a method to estimate stator inductance has been proposed using the Model Reference Adaptive System. Two new functional candidates have been derived that estimate the d-axis and q-axis stator inductances to account for its variation due to magnetic cross saturation. Online inductance adaptation can lead to a significant improvement in the SynRM Power Factor. The proposed theory has been extensively tested by simulation studies on MATLAB SIMULINK and its effectiveness has been verified.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127493828","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}
引用次数: 2
Disturbance Rejection and Harmonic mitigation for Solid State Transformer through Passivity Based Control 基于无源控制的固态变压器抗干扰与谐波抑制
2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/isie45552.2021.9576219
M. Monika, R. Meshram, S. Wagh
{"title":"Disturbance Rejection and Harmonic mitigation for Solid State Transformer through Passivity Based Control","authors":"M. Monika, R. Meshram, S. Wagh","doi":"10.1109/isie45552.2021.9576219","DOIUrl":"https://doi.org/10.1109/isie45552.2021.9576219","url":null,"abstract":"This research proposes the passivity based control (PBC) design for the 2-stage solid state transformer (SST) (comprising of dual active bridge converter and dc/ac inverter). The design ensures the asymptotic convergence of the tracking error to zero and the robustness against input voltage sag/swell and also for the load disturbances. In addition, the design facilitates the mitigation of voltage harmonics for inverter. The performance of the passivity based controller is demonstrated through simulations using MATLAB/Simulink.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125047635","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}
引用次数: 0
A Verification Method of Industrial Metal Parts using Siamese Residual Network 一种基于Siamese残差网络的工业金属零件验证方法
2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576308
Yulong Yan, Dajian Jian, Zhuo Zou, Lirong Zheng, Hui Xie, Yu Gao
{"title":"A Verification Method of Industrial Metal Parts using Siamese Residual Network","authors":"Yulong Yan, Dajian Jian, Zhuo Zou, Lirong Zheng, Hui Xie, Yu Gao","doi":"10.1109/ISIE45552.2021.9576308","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576308","url":null,"abstract":"Effective verification methods have a pivotal role in curbing the counterfeiting of industrial metal parts. This paper proposes a verification method by extracting the surface textures from a single image of industrial metal parts through a Siamese residual network. The proposed method expresses texture features as a 32-dimensional feature vector. The L2 distance between two feature vectors represents their similarity, further indicating the authenticity of industrial metal parts. Feature fusion architecture in the proposed network is beneficial to utilize surface textures from multiple scales, which ensures the completeness of features. Multiple loss functions, namely triplet loss and cross-entropy loss, are applied in the training phase. The combination of multiple loss functions improves the accuracy of the network while accelerating the training process. The effectiveness of the proposed network is proved by experiments and the performance is evaluated. The network achieves 97.31±0.52% accuracy on the test dataset, enabling reliable anti-counterfeiting verification of industrial metal parts.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"352 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124446989","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}
引用次数: 0
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