2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)最新文献_第2页

Time-series decomposition of power demand data to extract uncertain features 对电力需求数据进行时间序列分解，提取不确定特征

2017 IEEE 26th International Symposium on Industrial Electronics (ISIE) Pub Date : 2017-08-03 DOI: 10.1109/ISIE.2017.8001473

Tomoya Imanishi, Masahiro Yoshida, J. Wijekoon, H. Nishi

{"title":"Time-series decomposition of power demand data to extract uncertain features","authors":"Tomoya Imanishi, Masahiro Yoshida, J. Wijekoon, H. Nishi","doi":"10.1109/ISIE.2017.8001473","DOIUrl":"https://doi.org/10.1109/ISIE.2017.8001473","url":null,"abstract":"The spread of smart meters means that a large amount of power demand information from private houses is being collected around the world. Owing to the development of smart city infrastructure, the use of standardized frameworks for extracting features from power demand information has become vital. In this paper, we propose a novel decomposition approach useful for extracting feature values from power demand information from a house. Energy consumption was monitored for multiple houses for one month in Japan with a sampling duration of 30 minutes, which is a standard sampling time of smart meters in Japan. First, periodic characteristics were detected for 24 hours based on autocorrelation analysis. Then, the monitored information was decomposed into four components: standby power, trends, and periodic and residual parts. The distribution of the residual part is similar to a Gaussian distribution, so the behavior of the residual part was parameterized using variance and average. Trend, periodic, and residual components were clustered by means of k-means clustering in order to aggregate the difference in behaviors. There was no periodic component in the residual part according to auto-correlation analysis. Nevertheless, some clusters had a relatively large variance, which means that abnormal power demand occurred frequently in datasets. The amount of variance and climate correlation was analyzed, and the fact detected that large scale events disturb usual daily life-styles, from the viewpoint of energy usage. Last, these features were compared with actual customer information. In the evaluation, family structure and floor space were utilized to prove the effectiveness of the proposed decomposition approach. The evaluation proved that this decomposition method could extract uncertainty features from power demand information.","PeriodicalId":6597,"journal":{"name":"2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)","volume":"148 1","pages":"1535-1540"},"PeriodicalIF":0.0,"publicationDate":"2017-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88651329","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: 3

Variable compliance control for transfer support robot 搬运支撑机器人的变柔度控制

2017 IEEE 26th International Symposium on Industrial Electronics (ISIE) Pub Date : 2017-08-03 DOI: 10.1109/ISIE.2017.8001550

Kouta Yokoyama, T. Shimono, T. Mizoguchi, A. Zignoli, K. Ohnishi

{"title":"Variable compliance control for transfer support robot","authors":"Kouta Yokoyama, T. Shimono, T. Mizoguchi, A. Zignoli, K. Ohnishi","doi":"10.1109/ISIE.2017.8001550","DOIUrl":"https://doi.org/10.1109/ISIE.2017.8001550","url":null,"abstract":"Recently in Japan, increase in necessity of nursing care with elderly society has been problematic. Transfer task of a person in need of nursing care is one of the heavy load for care-worker. Additionally, the problem of the privacy protection for the disability in the private space such as a toilet and bath is a serious issue. Therefore, the aim of this research is to develop the transfer support robot which enables to promote the independence of the disability in the private space. In this paper, as the first step of the realization, the necessary movements and controls are clarified. The newly-designed variable compliance control method is proposed. In the proposed method, compliance control is applied to the position control based control system. The stiffness of the robot changes smoothly based on the information of disturbance force caused by human motion and weight. It means that safety cooperative work is possible even when humans perform irregular movements. By the proposed method, when a disturbance force occurs downward direction due to a human weight, the robot has highly stiffness value. When a disturbance force occurs upward direction due to a human motion, the robot has lowly stiffness value. The validity of the proposed method was confirmed by simulation and experiment using a 2-link manipulator imitate the transfer support robot.","PeriodicalId":6597,"journal":{"name":"2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)","volume":"93 1","pages":"1953-1958"},"PeriodicalIF":0.0,"publicationDate":"2017-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83804871","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

Safe tremor suppression through arm movement control 通过手臂运动控制安全震颤抑制

2017 IEEE 26th International Symposium on Industrial Electronics (ISIE) Pub Date : 2017-08-03 DOI: 10.1109/ISIE.2017.8001404

Dylan Arnal, T. Murakami, T. Nozaki

引用次数: 2

Simulation of a wind diesel power system with flywheel energy storage 具有飞轮储能的风电柴油发电系统仿真

2017 IEEE 26th International Symposium on Industrial Electronics (ISIE) Pub Date : 2017-08-03 DOI: 10.1109/ISIE.2017.8001584

R. Sebastián, R. Peña-Alzola, J. Quesada

引用次数: 1

An effective optimal linear quadratic analog tracker for the system with unknown disturbances 一种针对未知扰动系统的最优线性二次模拟跟踪器

2017 IEEE 26th International Symposium on Industrial Electronics (ISIE) Pub Date : 2017-08-03 DOI: 10.1109/ISIE.2017.8001282

Guo He, Yau-Tarng Juang, J. Tsai, Yun-You Lin, Shu-Mei Guo, L. Shieh, T. Tsai

{"title":"An effective optimal linear quadratic analog tracker for the system with unknown disturbances","authors":"Guo He, Yau-Tarng Juang, J. Tsai, Yun-You Lin, Shu-Mei Guo, L. Shieh, T. Tsai","doi":"10.1109/ISIE.2017.8001282","DOIUrl":"https://doi.org/10.1109/ISIE.2017.8001282","url":null,"abstract":"The designs of optimal linear quadratic estimator and tracker for the linear continuous-time systems with unknown disturbances have been improved in this paper. Compared with the advanced robust control design methodologies developed in the literature, the proposed method significantly improves both the unknown input estimation and the servo performance for the systems subject to the unknown disturbances. The aforementioned design objective can be achieved due to the fact that the proposed approach ensures the relative stability in both the unknown input estimation and the servo performance from the theoretical point of view. Besides, based on the equivalent input disturbance principle developed in the literature, the proposed approach is applicable to the system with a class of mismatched input disturbances. Furthermore, the newly proposed unknown input estimation technique is able to extend the recently developed generalized optimal linear quadratic tracker for continuous-time systems with known disturbances to those with unknown disturbances.","PeriodicalId":6597,"journal":{"name":"2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)","volume":"22 1","pages":"412-417"},"PeriodicalIF":0.0,"publicationDate":"2017-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82132041","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: 3

Network-based control for a system with long time delay and packet losses 对长时延和丢包系统的基于网络的控制

2017 IEEE 26th International Symposium on Industrial Electronics (ISIE) Pub Date : 2017-08-03 DOI: 10.1109/ISIE.2017.8001401

T. Suhara, Hiromu Norizuki, Y. Uchimura

引用次数: 1

GaN-HEMT-based three level T-type NPC inverter using reverse-conducting mode in rectifying 基于gan - hemt的三电平t型NPC逆变器，采用反导整流方式

2017 IEEE 26th International Symposium on Industrial Electronics (ISIE) Pub Date : 2017-08-03 DOI: 10.1109/ISIE.2017.8001548

Hiroki Kurumatani, S. Katsura

引用次数: 5

Feature extraction and background information detection method using power demand 利用电力需求特征提取和背景信息检测的方法

2017 IEEE 26th International Symposium on Industrial Electronics (ISIE) Pub Date : 2017-08-03 DOI: 10.1109/ISIE.2017.8001439

Masahiro Yoshida, Tomoya Imanishi, H. Nishi

{"title":"Feature extraction and background information detection method using power demand","authors":"Masahiro Yoshida, Tomoya Imanishi, H. Nishi","doi":"10.1109/ISIE.2017.8001439","DOIUrl":"https://doi.org/10.1109/ISIE.2017.8001439","url":null,"abstract":"Recently, many electricity retailers have been aggregating consumer power demand information from smart meter infrastructure, and applications that utilize these data are widely studied. For example, the estimation of customers' background information using their power demand information has attracted much interest; this information can be utilized in the marketing field for background-targeted advertising. In order to utilize power demand information effectively, an appropriate feature extraction method must be applied. In this paper, appropriate data extraction methods specific to power demand information are proposed. In the experiment, power demand data for Kawasaki city were used, and 19 feature data were extracted using the proposed method. The utility of the extracted features was assessed through the performance of classification estimation for two background information types, family structure and floor space. The classification problems are solved by applying two typical machine-learning algorithms, the support vector machine and k-nearest neighbor. In particular, analysis of variance (ANOVA) was applied to the 19 feature data, which were ranked according to the F value. Then, the n (n = [1, 2, 19]) best feature data were used as the input step by step, and the score for each condition was computed to derive the best feature set. According to the results, some of the feature data were considered to be irrelevant, and the best feature data set was successfully selected. Furthermore, thee scores when raw data were input were also computed and compared with the scores when the best feature data set was used. As a result, the performance was better when using processed data instead of raw data.","PeriodicalId":6597,"journal":{"name":"2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)","volume":"99 1","pages":"1336-1341"},"PeriodicalIF":0.0,"publicationDate":"2017-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82213529","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

Kalman filter based equivalent elastic force feedback for time-delay compensation 基于卡尔曼滤波的等效弹性力反馈时滞补偿

2017 IEEE 26th International Symposium on Industrial Electronics (ISIE) Pub Date : 2017-08-03 DOI: 10.1109/ISIE.2017.8001511

Yuki Nagatsu, S. Katsura

引用次数: 2

Robust force control with a novel gain tuning methodology based on the stable margin theory 基于稳定裕度理论的增益整定鲁棒力控制

2017 IEEE 26th International Symposium on Industrial Electronics (ISIE) Pub Date : 2017-08-03 DOI: 10.1109/ISIE.2017.8001403

Kenji Ogawa, K. Ohnishi, M. Ibrahim

引用次数: 2