2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE)最新文献

{"title":"One SPMSM Speed Vector Control System Design Method Based on the Incremental Encoder","authors":"H. Gao, Decheng Wang, Shoufeng Zhang, Minghua Xie","doi":"10.1109/IRCE.2019.00020","DOIUrl":"https://doi.org/10.1109/IRCE.2019.00020","url":null,"abstract":"Aimed at the rotor angle information problem used for the surface-mounted permanent magnet synchronous motor (SPMSM) speed control system by vector control method, one rotor angle information gaining method based on the incremental encoder is given. The relationship between the constant voltage vector and the torque is analyzed. The zeroposition signal can be gained by applying the different voltage vectors in sequence to make the rotor rotate. On the basis of gaining the zero-position signal, the rotor angle information used for the SPMSM speed control is computed by the number of pole pairs and the pulse number outputted by the incremental encoder. The above method is used in SPMSM speed control system. And the experiment result shows that this method can achieve the precise speed control purpose.","PeriodicalId":298781,"journal":{"name":"2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116880586","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":"Mathematical Modelling and Controller Design for Soccer Kick Action Based on SimMechanics in Matlab","authors":"B. Sadiq, K. Iqbal","doi":"10.1109/IRCE.2019.00018","DOIUrl":"https://doi.org/10.1109/IRCE.2019.00018","url":null,"abstract":"The research about modelling complex mechanical system have been developed rapidly. Newtonian, Lagrangian and Bond graph method were considered the most useful methods, but involves a high level of geometry, orientation and interconnection between segments. The motivation for this research is to use a modelling-simulation framework to achieve three aims: (a) establish a dynamic model soccer kicking behavior in SimMechanics, (b) synthesize PID and LQR controller for the model and (c) to optimize the dynamic stability and performance during the said movement. The rigid body model is driven by torque actuators at the joints. This modeling framework mimics the kicking action of a soccer player under different regimes. We compared the performance of PID and LQR controller to regulate the kick action. Though the PID controller needed less time to achieve the steady state, the LQR controller could adopt to various task requirements as well as optimized the energy expenditures. The dynamic simulations carried out in this study leads to further investigation of kicking action by utilizing the outside, and inside area of foot for kick action (the Magnus effect).","PeriodicalId":298781,"journal":{"name":"2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133986007","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":"IRCE 2019 Committees","authors":"Irce, S. Ge, Xudong Jiang, Chun-Yi Su","doi":"10.1109/irce.2019.00006","DOIUrl":"https://doi.org/10.1109/irce.2019.00006","url":null,"abstract":"Technical Committee Tarek Sobh, University of Bridgeport, United States Yi Zhou, Singapore Institute of Technology, Singapore Di Ma, Nanyang Polytechnic, Singapore Aiguo Song, Southeast University, China Sukchatri Prasomsuk, University of Phayao, Thailand Jamaludin Bin Jalani, University Tun Hussein Onn Malaysia, Malaysia Oscar Fernando Avilés Sánchez, Nueva Granada Military University, Colombia Muralindran Mariappan, Malaysian University of Sabah, Malaysia Duygun Erol Barkana, Yeditepe University, Turkey A. M. Harsha S. Abeykoon, Asian Institute of Technology, Thailand Suranga Hettiarachchi, Indiana University Southeast, United States Elena Vishnevskaya, Embry Riddle Aeronautical University, Germany Poj Tangamchit, King Mongkut’s University of Technology Thonburi, Thailand Chung-Hsun Sun, National Kaohsiung University of Applied Sciences, Taiwan Dong-Pei, Northwest Normal University, China Zuriana Abu Bakar, University Malaysia Terengganu, Malaysia Yanqiong Fei, Shanghai Jiaotong University, China Javier Sanjuan, North University, Colombia Pengcheng Ye, Northwestern Polytechnical University, China Tamer Helmy, Alexandria University, Egypt Flaviu Mihai Frigura-Iliasa, National Institute for R&D in Electrochemistry and Condensed Matter, Romania Mei Chuan Cheng, Hsin-Sheng Junior College of Medical Care and Management, Taiwan Kamran Iqbal, University of Arkansas, United States Velmathi Guruviah, Vellore Institute of Technology, India Decheng Wang, Northwestern Polytechnical University, China Shafiq Ur Rehman, Sir Syed University of Engineering and Technology, Pakistan Noor Maizura Mohamad Noor, University Malaysia Terengganu, Malaysia Rosmayati Mohemad, University Malaysia Terengganu, Malaysia Sheng-Ta Hsieh, Oriental Institute of Technology, Taiwan Vivek Maik, SRM Institute of Science & Technology, India Jianbin Liu, Tianjin University, China Priyanka Kokil, Indian Institute of Information Technology, India","PeriodicalId":298781,"journal":{"name":"2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114218863","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":"Model-Driven Design for Fast Deployment of Embedded Systems","authors":"P. D. Hung, Phan Minh Duong, Truong Minh Giang, V. Diep","doi":"10.1109/IRCE.2019.00035","DOIUrl":"https://doi.org/10.1109/IRCE.2019.00035","url":null,"abstract":"The deployment of embedded systems is often complicated because it involves both software and hardware circuits. The requirements for the system can change over time or with the situations of deployment. When the hardware is fixed, the communication functions between the microcontroller and the peripheral and the modules are fixed, so the optimal solution is to ensure that the deployment can change quickly and accurately with minimum software knowledge. Thus, the system designers need to find ways to develop embedded software that can respond to changes in requirements. This paper explores the UML Statechart embedded software architecture and modeling on the QP Real- Time Embedded Frameworks, providing a solution that meets the flexibility needed for embedded software development.","PeriodicalId":298781,"journal":{"name":"2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122830907","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":"Design and Research of Occupant Type Feature Recognition Based on BP Neural Network","authors":"Haonan Dong, Zhifeng Zhou, Peng Xiao","doi":"10.1109/IRCE.2019.00032","DOIUrl":"https://doi.org/10.1109/IRCE.2019.00032","url":null,"abstract":"Accurate detection of vehicle occupant classification is one of the prerequisites for the realization of intelligent airbag system. In order to reduce the damage caused to the passenger by accidental airbag in the collision accident, this paper uses the characteristics of the passenger's body pressure distribution on the seat to identify different occupant types. The traditional high-density array pressure sensors can better detect the pressure distribution characteristics of different occupant types on the seat, but the method is costly and is not suitable for commercial applications. In this paper, based on the theory of pressure sensitive points, the flexible array pressure sensors based on pressure sensitive points are used in this hardware and the occupant identification algorithm based on BP neural network is established. The occupant identification algorithm is composed of occupant type recognition algorithm and occupant sitting recognition algorithm. Real-time detection of changes in occupants type and sitting postures is achieved.","PeriodicalId":298781,"journal":{"name":"2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122932287","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":"IRCE 2019 TOC","authors":"Irce, H. Filipescu","doi":"10.1109/irce.2019.00004","DOIUrl":"https://doi.org/10.1109/irce.2019.00004","url":null,"abstract":"","PeriodicalId":298781,"journal":{"name":"2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116702177","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":"Efficient Cross Validation for SVR Based on Center Distance in Kernel Space","authors":"Minghua Xie, Decheng Wang, Lili Xie","doi":"10.1109/IRCE.2019.00033","DOIUrl":"https://doi.org/10.1109/IRCE.2019.00033","url":null,"abstract":"Cross validation (CV) is widely used to find the optimal parameters of the support vector regression (SVR) model. Regarding the conventional CV method, the optimal model parameters may be affected when the training set is randomly split into k disjoint folds. In the paper, an efficient CV based on center distance in kernel space is presented. Data splitting is based on the distance between the sample and the center point in the kernel space. Simulation experiments results show that the proposed CV method makes the selection of optimal model parameters more reasonable and improves the generalization ability of SVR model.","PeriodicalId":298781,"journal":{"name":"2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129369079","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":"IRCE 2019 List Reviewer Page","authors":"Irce, Yi Zhou, Yanqiong Fei, Aiguo Song, Oscar Fernando Avilés","doi":"10.1109/irce.2019.00007","DOIUrl":"https://doi.org/10.1109/irce.2019.00007","url":null,"abstract":"Yi Zhou, Singapore Institute of Technology, Singapore, ZhouYi@SingaporeTech.edu.sg Di Ma, Nanyang Polytechnic, Singapore, Benjaminmar8@gmail.com Yanqiong Fei, Shanghai Jiaotong University, China, fyq@sjtu.edu.cn Aiguo Song, Southeast University, China, a.g.song@seu.edu.cn Sukchatri Prasomsuk, University of Phayao, Thailand, skchatri@hotmail.com Jamaludin Bin Jalani, University Tun Hussein Onn Malaysia, Malaysia, jamalj@uthm.edu.my Oscar Fernando Avilés Sánchez, Nueva Granada Military University, Colombia, oscar.aviles@unimilitar.edu.co Muralindran Mariappan, Malaysian University of Sabah, Malaysia, murali@ums.edu.my Duygun Erol Barkana, Yeditepe University, Turkey, duygunerol@yeditepe.edu.tr A. M. Harsha S. Abeykoon, Asian Institute of Technology, Thailand, harsha@ait.asia Tarek Sobh, University of Bridgeport, United States, sobh@bridgeport.edu Suranga Hettiarachchi, Indiana University Southeast, United States, suhettia@ius.edu Elena Vishnevskaya, Embry Riddle Aeronautical University, Germany, alpha25@hush.com Poj Tangamchit, King Mongkut’s University of Technology Thonburi, Thailand, poj.tan@kmutt.ac.th Chung-Hsun Sun, National Kaohsiung University of Applied Sciences, Taiwan, chsun@kuas.edu.tw; chsun@nkust.edu.tw Javier Sanjuan, North University, Colombia, jdecaro@uninorte.edu.co Pengcheng Ye, Northwestern Polytechnical University, China, yepengcheng@nwpu.edu.cn Tamer Helmy, Alexandria University, Egypt, tmrhlmy62@gmail.com Flaviu Mihai Frigura-Iliasa, National Institute for R&D in Electrochemistry and Condensed Matter, Romania, flaviu.frigura@upt.ro Mei Chuan Cheng, Tamkang University, Taiwan , rosma725@gmail.com Kamran Iqbal, University of Arkansas, United States, kxiqbal@ualr.edu Velmathi Guruviah, Vellore Institute of Technology, India, velmathi.g@vit.ac.in Decheng Wang, Northwestern Polytechnical University, China, wangdecheng@nwpu.edu.cn Shafiq Ur Rehman, Sir Syed University of Engineering and Technology, Pakistan, srehman198456@yahoo.com Noor Maizura Mohamad Noor, University Malaysia Terengganu, Malaysia, maizura@umt.edu.my Rosmayati Mohemad, University Malaysia Terengganu, Malaysia, rosmayati@umt.edu.my Zuriana Abu Bakar, University Malaysia Terengganu, Malaysia, zuriana@umt.edu.my Sheng-Ta Hsieh, Oriental Institute of Technology, Taiwan, fo013@mail.oit.edu.tw Vivek Maik, SRM Institute of Science and Technology, India, maik.vivek@gmail.com Jianbin Liu, Tianjin University, China, jianbin_liu@tju.edu.cn Priyanka Kokil, Indian Institute of Information Technology, Design and Manufacturing, India, priyanka@iiitdm.ac.in","PeriodicalId":298781,"journal":{"name":"2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121995893","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":"Trust-Based Heuristics Approach on Saboteur Board Game Decision Making","authors":"Ray Antonius, Samuel Lukas, Livia Andriana Lohanda","doi":"10.1109/IRCE.2019.00039","DOIUrl":"https://doi.org/10.1109/IRCE.2019.00039","url":null,"abstract":"The saboteur card game is a good example of incomplete-information game. This paper implements a new trust-based heuristics approach in Saboteur board game simulation, where each of the players’ actions are recorded and calculated by the other players based on their own beliefs. This paper founds that the approach has proved to be very effective in shaping each of the players’ beliefs.","PeriodicalId":298781,"journal":{"name":"2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132505400","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":"Supervisory Control of Discrete Event Systems in Manufacturing Industry","authors":"N. Iacobici, Francisc Demeter, F. Frigura-Iliasa, L. Dolga, H. Filipescu, Mirela Iorga","doi":"10.1109/IRCE.2019.00016","DOIUrl":"https://doi.org/10.1109/IRCE.2019.00016","url":null,"abstract":"Nowadays, Supervisory Control Theory (SCT) is a very used technique dedicated to produce a controller for Discrete Event Systems (DES), like intelligent manufacturing systems, robot systems, transport systems, IT& C etc. The resulted DES controller is also considered as supervisor. Generally, SCT involves formal languages and control concepts for performing supervisor activities. When involving SCT elements, a plant can be modeled by using control structures. This command structure is an event sequence generator. Any uncontrolled behavior of that plant is defined by these generated sequences. The desired controlled behavior of that system is defined by specifications. When applying SCT, a supervisor can easily be synthesized for avoiding plant entering on undesired states. After the synthesizing process, the computed supervisor can be implemented in order to perform all control tasks. The Programmable Logic Controllers (PLC) are, today, mostly used to realize control tasks in contemporary industry due to some clear assets. It is also obvious that, the supervisor is commonly implemented not only by means of PLCs or dedicated industrial embedded systems. The most popular computing language for programming PLCs is Ladder Logic Diagrams (LLD). The supervisors in automatic form can be easily compiled to an LLD compliant code. In this, report fundamental information about SCT is presented. A small manufacturing system consisting of two machines and a buffer is described as an example. All integration procedures applied for supervisor techniques are also provided.","PeriodicalId":298781,"journal":{"name":"2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127126593","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}