2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)最新文献_第10页

Co-design of controller and setup configuration using Genetic Algorithm 采用遗传算法对控制器和组态进行协同设计

2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2017-09-01 DOI: 10.1109/ETFA.2017.8247698

Michiel Haemers, S. Derammelaere, K. Stockman

{"title":"Co-design of controller and setup configuration using Genetic Algorithm","authors":"Michiel Haemers, S. Derammelaere, K. Stockman","doi":"10.1109/ETFA.2017.8247698","DOIUrl":"https://doi.org/10.1109/ETFA.2017.8247698","url":null,"abstract":"In many structures the decision on how to apply actuators and sensors is a complicated puzzle. A balance between implementation cost and achievable performance must be found, and this proves to be a challenging task. In this paper, an optimization procedure is proposed to co-design the number of actuators and sensors on the one hand and simultaneously determine the corresponding optimal controller feedback gains on the other hand. Both are optimized to obtain optimal control performance. Starting from a state-space representation, the presence or absence of actuators and sensors is described as selection binaries. Furthermore, many non-linearities are present as for example the maximum control effort u or implementation cost change discontinuously when different configurations are used. A proposed method to answer these problems is to use a novel Genetic Algorithm implementation. This way, a resulting optimization procedure is formulated to define the optimal hardware configuration choosing from several possible actuator types on the one hand. On the other, it can concurrently determine the feedback gains that make optimal use of the available maximum actuator control effort u.","PeriodicalId":6522,"journal":{"name":"2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"58 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74251842","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

Generation and impact analysis of adaptation options for automated manufacturing machines 自动化制造机器适应性选择的生成和影响分析

2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2017-09-01 DOI: 10.1109/ETFA.2017.8247673

X. Hoang, A. Fay, Philipp Marks, M. Weyrich

{"title":"Generation and impact analysis of adaptation options for automated manufacturing machines","authors":"X. Hoang, A. Fay, Philipp Marks, M. Weyrich","doi":"10.1109/ETFA.2017.8247673","DOIUrl":"https://doi.org/10.1109/ETFA.2017.8247673","url":null,"abstract":"Due to current trends in manufacturing, existing machines need to become more flexible to cope with a more dynamical production environment. To achieve this “flexibilization”, existing machines have to undergo adaptation processes during their operational phase, i.e. mechanical changes, changes of sensors and actuators, software changes, or a combination thereof. A fundamental part of these adaptation processes is the generation of adaptation options. Here, many constraints and interrelations must be considered, which complicate these processes and may result in suboptimal or error-prone results. Therefore, a systematical and efficient approach for generating adaptation options is indispensable for a successful adaptation process. State-of-the-art approaches mostly focus on the adaptation of products and are not appropriate for manufacturing machines. Accordingly, in this contribution an approach for the generation of adaptation options is proposed to support the adaptation of manufacturing machines. The approach is based on the interdependencies between products, processes, and resources. The application of the approach is demonstrated by an illustrative example of a pick-and-place unit.","PeriodicalId":6522,"journal":{"name":"2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"10 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74408455","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: 18

Gesture based robot programming using process knowledge — An example for welding applications 使用过程知识的基于手势的机器人编程。焊接应用的一个例子

2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2017-09-01 DOI: 10.1109/ETFA.2017.8247761

O. Heimann, Johannes Hügle, J. Krüger

引用次数: 4

Event-based internal model control approach for frequency deviation control in islanded micro grid 基于事件的孤岛微电网频率偏差控制方法

2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2017-09-01 DOI: 10.1109/ETFA.2017.8247629

R. Vilanova, C. Pedret, M. Barbu, O. Arrieta

{"title":"Event-based internal model control approach for frequency deviation control in islanded micro grid","authors":"R. Vilanova, C. Pedret, M. Barbu, O. Arrieta","doi":"10.1109/ETFA.2017.8247629","DOIUrl":"https://doi.org/10.1109/ETFA.2017.8247629","url":null,"abstract":"This work faces the problem of frequency deviation in microgrid systems. The considered microgrid includes renewable energy sources such as wind and solar photovoltaic. As long as these sources provide an irregular power supply or there is a sudden change in the system load, the power system frequency deviates. In order to compensate such deviations, alternative, conventional energy sources should be commanded in order to provide the corresponding power deficit. In this paper a very simple and of common industrial practice control approach such as the Internal Model Control based on first order plus time delay models is proposed within an event-based framework. As the commanded energy sources are based on fuel consumption, the control usage has to be maintained at low levels. It is shown that the event-based approach is able to provide accurate frequency deviation control with very low movements for the control signal. Time domain simulations show the effectiveness of the approach as compared with other more sophisticated controllers already proposed in the literature.","PeriodicalId":6522,"journal":{"name":"2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"98 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81136572","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

Automatic multi-state load profile identification with application to energy disaggregation 多态负荷曲线自动识别及其在能量分解中的应用

2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2017-09-01 DOI: 10.1109/ETFA.2017.8247684

Olivier Van Cutsem, G. Lilis, M. Kayal

{"title":"Automatic multi-state load profile identification with application to energy disaggregation","authors":"Olivier Van Cutsem, G. Lilis, M. Kayal","doi":"10.1109/ETFA.2017.8247684","DOIUrl":"https://doi.org/10.1109/ETFA.2017.8247684","url":null,"abstract":"Non-Intrusive Appliance Load Monitoring can greatly benefit the Smart Buildings for energy awareness, while reducing cost and avoiding intrusive technology. This paper presents a generic algorithm for extracting the main power states of electrical appliances. The method is based on iterative K-mean clustering that is applied on historical plug-level active power data. The resulting multi-state load profile identification module is then integrated within an existing Building Management System for outlet-level energy disaggregation. Factorial Hidden Markov Modelling models the plugged appliances for low-frequency power disaggregation purposes, and incorporates the extracted set of appliances states. The solution was validated using the ECO dataset and NILM-Eval toolbox, allowing a comparison with standard binary ON/OFF modelling. It showed that the multi-state modelling significantly reduces the RMS error of the inferred power signals, yet at the expense of a higher computing time. Moreover, given a small set of appliances, the total inferred energy may be evaluated more precisely, leading to an enhancement of the quality of user energy feedback.","PeriodicalId":6522,"journal":{"name":"2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"44 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81616339","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: 11

Towards alarm flood reduction 减少洪水警报

2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2017-09-01 DOI: 10.1109/ETFA.2017.8247625

Yannick Laumonier, J. Faure, J. Lesage, H. Sabot

引用次数: 5

Incremental 2D Delaunay triangulation core implementation on FPGA for surface reconstruction via high-level synthesis 基于FPGA的增量二维Delaunay三角剖分核心实现

2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2017-09-01 DOI: 10.1109/ETFA.2017.8247736

Christakis Kallis, K. M. Deliparaschos, G. Moustris, Avraam Georgiou, Themistoklis Charalambous

引用次数: 4

Model based development and verification of CANopen components 基于模型的CANopen组件开发与验证

2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2017-09-01 DOI: 10.1109/ETFA.2017.8247745

Nico Susmann, Ansgar Meroth

引用次数: 3

Dachi: A networked querying system for industrial Internet of Things applications 大驰:面向工业物联网应用的网络化查询系统

2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2017-09-01 DOI: 10.1109/ETFA.2017.8247716

A. Rath, Divyasheel Sharma

引用次数: 0

Cyber security of industrial communication protocols 工业通信协议的网络安全

2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2017-09-01 DOI: 10.1109/ETFA.2017.8247769

Weilian Su, Anastasios Antoniou, C. Eagle

引用次数: 7