Jiawei Zhang, L. Empringham, L. Lillo, P. Wheeler, C. Spagnolo
{"title":"A Design Guide of Direct Matrix Converter Open Circuit Online Fault Diagnosis in Industrial Applications","authors":"Jiawei Zhang, L. Empringham, L. Lillo, P. Wheeler, C. Spagnolo","doi":"10.1109/IECON.2018.8591701","DOIUrl":"https://doi.org/10.1109/IECON.2018.8591701","url":null,"abstract":"This paper gave a design guide of the direct matrix converter (DMC) open circuit fault diagnosis methods in industrial applications. Two fault diagnosis methods are presented in this paper. One fault diagnosis method is for a DMC using a space vector modulation (SVM) strategy. The other fault diagnosis method is for a DMC using a finite-control-set model-predictive-control (FCS- MPC) strategy. The design guide is given based on the comparison of these two fault diagnosis methods.","PeriodicalId":370319,"journal":{"name":"IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society","volume":"313 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116119006","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":"System Level LET: Mastering Cause-Effect Chains in Distributed Systems","authors":"R. Ernst, Leonie Ahrendts, Kai-Björn Gemlau","doi":"10.1109/IECON.2018.8591550","DOIUrl":"https://doi.org/10.1109/IECON.2018.8591550","url":null,"abstract":"Cause-effect chains are omnipresent in automotive and other distributed software, where sensor data is first collected and then processed in order to control actuators. It is challenging to find a correct implementation which respects all latency and precedence constraints of the numerous cause-effect chains contained in the software and which is at the same time robust towards software updates and changes. The Logical Execution Time (LET) programming model has proven to be a very promising solution featuring determinism in time and data flow as well as composability, but it is inherently limited to the scope of an electronic control unit (ECU) due to strict requirements w.r.t. clock synchronization and zero-time communication. In this paper, we present and evaluate a new concept, called System Level LET, which generalizes LET and extends it to the scope of the entire, distributed system while preserving determinism in time and data flow as well as composability. System Level LET has relaxed synchronization requirements, is independent of scheduling policies and can be combined with different communication semantics.","PeriodicalId":370319,"journal":{"name":"IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116441629","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":"Unknown Input Observer-Based Robust Sensor Fault Estimation in Discrete-Time Takagi-Sugeno Systems","authors":"Emanoel R. Q. Chaves, A. Maitelli, Kennedy Lopes","doi":"10.1109/IECON.2018.8591585","DOIUrl":"https://doi.org/10.1109/IECON.2018.8591585","url":null,"abstract":"In this paper, a robust fault estimation technique is proposed to estimate the states and sensor faults simultaneously in a discrete-time Takagi-Sugeno (TS) fuzzy system with uncertainties. Initially, an augmented system is obtained from fault dynamics model and from the original system. Then an robust TS fuzzy unknown input observer (UIO) is designed for the augmented system with the aim of performing decoupling of the process disturbances. The UIO design is achieved by an $H_{infty}$ technique, which is developed to maintain the UIO stable and to reduce the disturbances that cannot be decoupled. The proposed method is validated through a simulation example.","PeriodicalId":370319,"journal":{"name":"IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122459379","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}
Tom Crauwels, M. D. Vecchia, S. Ravyts, J. Driesen
{"title":"Design and optimization of a grid connected residential PV-system with Battery Energy Storage System","authors":"Tom Crauwels, M. D. Vecchia, S. Ravyts, J. Driesen","doi":"10.1109/IECON.2018.8592722","DOIUrl":"https://doi.org/10.1109/IECON.2018.8592722","url":null,"abstract":"This paper studies a single-phase bidirectional grid tied inverter connected to a common DC-bus, together with a photovoltaic installation and a battery energy storage system. The design of this system and its control mechanisms are discussed. Appropriate components are determined and the system is implemented in the SIMULINK environment. The DC-link voltage is controlled by the battery which leaves the reference current provided to the inverter undetermined. This free parameter leaves room for optimization purposes. In this work an optimization for the electricity price is studied as nowadays variable price contracts and even spot price tied contracts are available on the energy market. Consumers could benefit of these types of contract when making use of a battery energy storage system. The results of this optimization and a full economic analysis of the system conclude this work. The full analysis furthermore discusses an optimal sized battery and inverter for given input parameters of the system. Finally a sensitivity analysis is carried out to study the effects of these parameters.","PeriodicalId":370319,"journal":{"name":"IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society","volume":"357 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122759273","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}
C. Buccella, M. G. Cimoroni, V. Patel, A. Saif, M. Tinari, Carlo Cecati, E. Babaei
{"title":"Harmonic elimination procedure for cascaded multilevel inverters having a particular even number of dc sources","authors":"C. Buccella, M. G. Cimoroni, V. Patel, A. Saif, M. Tinari, Carlo Cecati, E. Babaei","doi":"10.1109/IECON.2018.8591723","DOIUrl":"https://doi.org/10.1109/IECON.2018.8591723","url":null,"abstract":"This paper proposes an efficient analytical harmonic elimination procedure valid for cascaded multilevel converters having $s$ dc sources and a number of level $l=2s+1$ with $s=2^{n} n=1,2,3, ldots$. This procedure eliminates $n+1$ harmonics and their respective multiple; this implies a very low Total Harmonic Distortion. A 9-level inverter prototype is built and experimental results are obtained. The accuracy of the presented procedure is proved by the agreement between computed and experimental results.or, is observed.","PeriodicalId":370319,"journal":{"name":"IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122879599","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":"Fault-tolerant Control for Distributed-drive Electric Vehicles Considering Individual Driver Steering Characteristics","authors":"Han Zhang, Wanzhong Zhao, Junmin Wang","doi":"10.1109/IECON.2018.8591625","DOIUrl":"https://doi.org/10.1109/IECON.2018.8591625","url":null,"abstract":"This paper proposes a fault-tolerant control method for distributed-drive electric vehicles (DD-EV) considering individual driver steering characteristics that may vary among human drivers. Both vehicle and driver models are explicitly utilized for the fault-tolerant control design with considerations on modeling inaccuracies. A sliding-mode control scheme is generated to tolerate the DD-EV actuator fault and control the vehicle motions in a tailored cooperation with the specific driver. Such a personalized and fault-tolerant control method can specifically assist the human driver in post-fault vehicle motion control and reduce both physical and mental workloads of the driver. Co-simulation results of the controller using Matlab and CarSlm®indicate that the control law can provide appropriate control assistance to different drivers, achieving effective human-vehicle control cooperation in post-fault vehicle maneuvers.","PeriodicalId":370319,"journal":{"name":"IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society","volume":"111 3S 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114102194","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":"Boost Multi-port Converter with Simultaneous Isolated DC, Non-isolated DC and AC Outputs","authors":"Pinjala Mohana Kishore, R. Bhimasingu","doi":"10.1109/IECON.2018.8591718","DOIUrl":"https://doi.org/10.1109/IECON.2018.8591718","url":null,"abstract":"In modern residential applications, the dc based power systems are being increasingly implemented for smart and green energy efficient operation. The power requirement for these residential applications can be fulfilled by small localized generation (i.e., renewable energy), which can serve different variety of consumer loads. Some of the critical loads in these applications may require galvanic isolation from the input source. This paper proposes a boost multi-port converter with simultaneous isolated dc, non-isolated dc and ac outputs. These non-isolated dc, isolated dc, ac loads and dc source are interfaced using a single power converter topology. The salient features of proposed converter include less device count, number of power conversions and the ability to regulate both the outputs independently using decoupled modified sinusoidal pulse width modulation(DMSPWM) technique. The characteristics of the proposed converter with DMSPWM control have been studied in this paper and simulated using a MATLAB/Simulink. The proposed operation has been verified using FPGA controlled laboratory prototype. And also, the proposed topology is compared with conventional topologies in various aspects.","PeriodicalId":370319,"journal":{"name":"IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114170984","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":"Real-Time Foot Clearance and Environment Estimation Based on Foot-Mounted Wearable Sensors","authors":"T. Ishikawa, T. Murakami","doi":"10.1109/IECON.2018.8592894","DOIUrl":"https://doi.org/10.1109/IECON.2018.8592894","url":null,"abstract":"The ambulatory gait monitoring systems (AGMS) using wearable devices have a great attention for health monitoring of individuals. Foot clearance is one of gait parameters and an indicator of gait quality and safety. Conventionally, foot clearance is calculated by post-processing using several methods such as extended Kalman filter (EKF), a weighted Fourier linear combiner (WFLC), a simple biomechanical foot model, zero velocity update (ZVU), and optimally filtered direct and reverse integration (OFDRI). However, real-time foot clearance (FC) estimation is required to apply to control of neural prostheses and assistive devices to prevent falling down. In addition, since humans adapt to several environments during gait motion, walking patterns are different among leveled walk, ramp walk, and stair walk. Therefore, environmental recognition also has an important role for the devices. Aim of this study is an implication of a system which performs real-time foot clearance and environment estimation in several situations. Different configurations of infrared (IR) distance sensors are utilized with a foot-mounted inertia measurement unit (IMU: an acceleration sensor, a gyro sensor, a magnetometer, and an air pressure sensor) sensor. Two IR sensors are attached to both sides of a shoe with different orientation. Developed system is tested in case of leveled walk, ramp walk, and stair walk. As the result, the developed system can estimate foot clearance and find characteristics of walking in different gait motion.","PeriodicalId":370319,"journal":{"name":"IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114263884","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":"High Backdrivability Control Based on Estimation of Shaft Torsion Using Load Side Angle Sensor","authors":"Masahiro Kawazawa, S. Sakaino, T. Tsuji","doi":"10.1109/IECON.2018.8591268","DOIUrl":"https://doi.org/10.1109/IECON.2018.8591268","url":null,"abstract":"This paper proposes high backdrivability control which can be applied to R/C servo motors. This control method is constituted by shaft torsion control and admittance control. In shaft torsion control, the motion of the robot is derived from shaft torsion. Shaft torsion is estimated by using Shaft Torsion Observer (STOB). On the other hand, in admittance control, the motion of the robot is derived from reaction force. The reaction force is estimated by using Reaction Force Observer (RFOB). These control methods are selectively used depending on the movement of the motor. By using the proposed method, back-drivability of the R/C servo motor was improved in comparison with conventional admittance control.","PeriodicalId":370319,"journal":{"name":"IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122000704","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":"Action Recognition Based on Sequential 2D-CNN for Surveillance Systems","authors":"Van-Dung Hoang, D. Hoang, Có hiệu","doi":"10.1109/IECON.2018.8591338","DOIUrl":"https://doi.org/10.1109/IECON.2018.8591338","url":null,"abstract":"Action recognition plays an important task in surveillance systems, robot-human interaction and autonomous, systems. However, there are many challenging problems due to varieties of shape, illumination conditions, and complex of actions. Consuming time and precision are typically the main challenges for action recognition systems. Deep neural network techniques have dramatically become the state of the art in image processing. The high capacity deep learning on the temporal action from video analysis has been impeded because of varieties of classes, similarity of actions. This paper presents a new approach based on sequential deep neural network and data augmentation for improving accuracy. First, the deep neural network is constructed using several inceptions with different parallel convolutional operations which support reducing consuming time. Second, image augmentation of training dataset generates a larger data enough for deep neural network learning. This proposed task is aimed to address the small data problem. It is utilized for enhancing capabilities of deep learning. The proposed approach was evaluated on some benchmark datasets. Experimental evaluation on public benchmark dataset shows that the proposed approach enhances performance to 89.53% accuracy. Comparison results illustrated that our proposed method reaches higher performance than almost state- of- the- art methods.","PeriodicalId":370319,"journal":{"name":"IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122021568","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}