{"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}
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}
{"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}
{"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}
{"title":"Estimation of dq-axis Mutual Inductances for Vibration Reduction of Encoderless Control","authors":"Keita Shimamoto","doi":"10.1109/isie45552.2021.9576376","DOIUrl":"https://doi.org/10.1109/isie45552.2021.9576376","url":null,"abstract":"This paper proposes an estimation method of dq-axis mutual inductances of Interior Permanent Magnet Synchronous Motors (IPMSM) for encoderless servo drive systems. These estimated values are utilized in the current control. Conventionally, the dq-axis mutual inductances are ignored in the current control. Since these values depend on the electrical angle and current of the motor, the measurement of these values is difficult. However, ignoring these values causes velocity and torque vibration from the position estimation error and the control model error. The estimation and the compensation of dq-axis mutual inductances improve the performance of encoderless control. The proposed estimation method is based on a high-frequency voltage injection position estimation method. The estimated parameters are implemented in decoupling control of current control. Experimental results show the validity of the proposed method.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"11 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":"121770747","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}
{"title":"Enabling User-Oriented Features at the Edge: A Case of an IoT-based Smart Shopping Cart","authors":"Ruan Heyns, Musa Ndiaye, A. Abu-Mahfouz","doi":"10.1109/ISIE45552.2021.9576473","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576473","url":null,"abstract":"In this work, we proposed an automated smart cart system for use in the shopping industry. A smart cart equipped with sensors and computing resources would classify as an edge device for the Industrial Internet of Things (IIoT). In our design of the cart, we take advantage of the onboard computing resources to perform the image processing necessary for tracking the cart user. The smart cart can recognize the shopper and follow them around the mall as they shop. This feature enabled the edge computing resource in the embedded single board computer (SBC) would be helpful to people finding it difficult to push a heavy cart around the mall. The SCB used in our implementation is an Odroid C2 which is interfaced with a microcontroller, sensors, and a web application required for a digital cart representation.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"262 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":"122075492","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}
{"title":"Interleaved Zero-Voltage Switching High Step-Up DC-DC Converter Using a Single Auxiliary Switch","authors":"Shin-Ju Chen, Sung-Pei Yang, Chao-Ming Huang, Shih-Lin Syu","doi":"10.1109/ISIE45552.2021.9576421","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576421","url":null,"abstract":"A novel interleaved zero-voltage switching high step-up DC-DC converter using a single auxiliary switch is proposed in the paper. The circuit configuration is based on an interleaved boost converter integrating a coupled-inductor-based voltage multiplier cell and a zero-voltage switching (ZVS) auxiliary circuit, so that the converter can obtain high voltage gain without extreme duty ratio and achieve zero-voltage switching for both main switches. The voltage stresses of power devices are lower to reduce the conduction losses. The auxiliary switch can achieve zero-current switching (ZCS) to reduce the switching losses. The interleaved operation reduces the input current ripple. The reverse recovery problem of the diodes is alleviated by the leakage inductances of the coupled inductors. The operating principle and steady-state analysis of the proposed converter are expressed in detail. Finally, a 1000W prototype is developed to validate the proposed converter feasibility and performance.","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":"130467194","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}
Yutaka Tsuzuki, Naoya Ishida, Yuki Nagatsu, H. Hashimoto
{"title":"Wakefulness State Estimation Method Using Eye Movement and Deep Learning","authors":"Yutaka Tsuzuki, Naoya Ishida, Yuki Nagatsu, H. Hashimoto","doi":"10.1109/ISIE45552.2021.9576304","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576304","url":null,"abstract":"In recent years, the number of traffic accidents caused by drivers falling asleep has increased. Many studies have reported that drowsiness occurs while driving, resulting in a need of a system to detect driver drowsiness. In this study, we use a camera sensor that can sense the state of a person while driving a car without any physical constraints and without awareness of the device. We also estimate the wakefulness state using deep learning and eye movements to detect any increase in wakefulness due to drowsiness. This estimation method is found to be highly accurate.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"44 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":"124635038","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}
T. Refaat, H. Amer, G. Alkady, R. Daoud, H. Elsayed
{"title":"Machine Operating Speed, Fault Security and Fault Tolerance for Performability Analysis in Industrial Automation","authors":"T. Refaat, H. Amer, G. Alkady, R. Daoud, H. Elsayed","doi":"10.1109/ISIE45552.2021.9576354","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576354","url":null,"abstract":"This paper focuses on FPGA-based controllers in the context of industrial automation. For high reliability applications, fault tolerance is often used. Fault security is another important aspect in these applications. Furthermore, machines are often operated at a lower-than-nominal speed. A Performability model is developed which simultaneously incorporates the effects of fault tolerance, fault security and different machine speeds on machine behavior. Another contribution of this paper is the derivation of an expression to obtain the average yearly cost of downtime as a function of the level of fault security of the design.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"6 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":"115052207","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}
{"title":"Benchmarking of a Vibration Energy Harvester with Real-world Acceleration Measurements","authors":"J. Roos, T. Blad, J. Spronck","doi":"10.1109/ISIE45552.2021.9576471","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576471","url":null,"abstract":"This paper presents a comparison on resonance energy harvester power output in the real world versus three benchmark experiments containing elements measured in the real-world vibration. An one degree of freedom electromagnetic energy harvester is built and tested in various lab experiments using an electrodynamic shaker; a sinusoidal frequency sweep, power spectrum matching noise and real-world waveform replication. Comparing to the real-world power output, the frequency sweep indicated a 50% underestimation, the power spectrum matching noise experiment resulted in a 50% overestimation and the field wave replication remained within 7% error. Results indicate the essence of vibration energy harvester performance testing on real-world vibrations, to obtain an accurate performance indication.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"22 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":"114997712","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}