{"title":"Comparision of different control algorithms for a knee exoskeleton","authors":"Yuhao Luo, Can Wang, Zheng Wang, Yue Ma, Xinyu Wu","doi":"10.1109/ICARCV.2018.8581293","DOIUrl":"https://doi.org/10.1109/ICARCV.2018.8581293","url":null,"abstract":"Though the rapidly development in exoskeleton robot area, there are still some challenges, such as the safe and friendly human-machine interaction. In this paper, we proposed a novel knee exoskeleton driven by Series Elastic Actuator (SEA) which is a compliant actuator has the characteristic low output impedance, low friction, high quality force control and back-drivability. As for walking assistance, the force control is vital. Here, we mainly apply two control method to achieve the robust force control, one is the feedback control with enchaned distrubance observer, another is the Integral Sliding Mode Control (ISM). We test both the stability and force tracking performance of the two controler. The result showed that both algorithms can achieve the satisfactory performance and the ISM algorithm obtained the slightly better result.","PeriodicalId":395380,"journal":{"name":"2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122939232","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":"Robust Spherical Formation Tracking Control of First-order Agents with An Adaptive Neural Flow Estimate","authors":"Yanteng Ge, Yangyang Chen, Qingling Wang, J. Zhai","doi":"10.1109/ICARCV.2018.8581253","DOIUrl":"https://doi.org/10.1109/ICARCV.2018.8581253","url":null,"abstract":"This paper addresses the robust cooperative control for lateral formation tracking a set of circles on the given sphere in an absolutely unknown spatial flowfield. Different from the adaptive estimation method for the unknown flow speed with knowledge of the velocity direction in the literatures, a novel adaptive neural estimate is constructed based on the neighbors' information to approximate the unknown flow velocity. It is noted that such neighbor-based adaptive neural estimation develops the traditional adaptive neural approach by consensus. Then, a robust spherical formation tracking control law is established according to flow estimation. The uniform ultimate boundedness is proven when the communication topology associated with networked first-order agents. The effectiveness of the analytical results is verified by numerical simulations.","PeriodicalId":395380,"journal":{"name":"2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114281904","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":"Distributed State Estimation for Smart Grids Considering Packet Dropouts","authors":"M. Rana, W. Xiang, B. Choi","doi":"10.1109/ICARCV.2018.8581202","DOIUrl":"https://doi.org/10.1109/ICARCV.2018.8581202","url":null,"abstract":"This paper develops a distributed state estimation approach for smart grids. Particularly, the designed filter is developed in an interconnected way where the packet dropouts take place between estimators. The error function between true and estimated states is written in compact form, then it can be transformed into the linear matrix inequality (LMI). After solving the LMI problem, the desired gains are determined for the smart grid state estimation. The proposed method is applied to the IEEE 14-bus system where system state and input matrices are obtained from the Holt-Winters approach.","PeriodicalId":395380,"journal":{"name":"2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116744353","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":"Sample-Data-Based Stabilization of a Class of Switched Nonlinear Systems with Unknown Output Function","authors":"Yan Jiang, J. Zhai","doi":"10.1109/ICARCV.2018.8581199","DOIUrl":"https://doi.org/10.1109/ICARCV.2018.8581199","url":null,"abstract":"In this paper, the problem of sampled-data output feedback control is discussed for a class of switched nonlinear systems with imprecise output information. First, with the help of a compensator, an output feedback controller in the form of continuous-time is designed on the basis of backstepping design method and the domination approach. Then, by discretizing the continuous-time one, we obtain the sampled-data output feedback controller by skillfully choosing design parameters and a maximum sampling period, which ensures the global exponential stability for the closed-loop system. Finally, a numerical example is presented to illustrate the validity of the result.","PeriodicalId":395380,"journal":{"name":"2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124557098","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 Multi-Robot Task Allocation Method Based on Multi-Objective Optimization","authors":"Jianping Chen, Jianbin Wang, Q. Xiao, Chang-Huang Chen","doi":"10.1109/ICARCV.2018.8581110","DOIUrl":"https://doi.org/10.1109/ICARCV.2018.8581110","url":null,"abstract":"Time consumption and energy consumption are essential indicators for evaluating the effectiveness of task completion in multi-robot systems. On the basis of considering these two indicators, a Multi-Robot task allocation method based on multi-objective (time utility and energy utility) optimization (MOO-MRTA) is proposed. This method gives the definition and construction of the robotic energy utility function. It also establishes a model of task allocation based on multi-objective and discusses the problem of solving the model and so on. The RoboCup Rescue Simulation experiment shows that this method has the advantages of strong searching capacity, fast convergence rate, and that it can quickly find the Pareto optimal task allocation scheme and help the rescue team get an ideal result.","PeriodicalId":395380,"journal":{"name":"2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124599701","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}
Araceli Vega-Magro, Luis J. Manso, P. Bustos, Pedro Núñez Trujillo
{"title":"A Flexible and Adaptive Spatial Density Model for Context-Aware Social Mapping: Towards a More Realistic Social Navigation","authors":"Araceli Vega-Magro, Luis J. Manso, P. Bustos, Pedro Núñez Trujillo","doi":"10.1109/ICARCV.2018.8581304","DOIUrl":"https://doi.org/10.1109/ICARCV.2018.8581304","url":null,"abstract":"Social navigation is a topic with enormous interest in autonomous robotics. Robots are gradually being used in human environments, working individually or collaborating with humans in their daily tasks. Robots in these scenarios have to be able to behave in a socially acceptable way and, for this reason, the way in which robots move has to adapt to humans and context. Proxemics has been extensively studied with the aim of improving social navigation. However, these works do not take into account that, in several situations, the personal space of the humans depends on the context (e.g., this human space is not the same in a narrow corridor than in a wide room). This work proposes the definition of an adaptive and flexible space density function that allows, on the one hand, to describe the comfort space of individuals during an interaction and, on the other hand, dynamically adapt its value in terms of the space that surrounds this interaction. In order to validate the performance, this article describes a set of simulated experiments where the robustness and improvements of the approach are tested in different environments.","PeriodicalId":395380,"journal":{"name":"2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130619626","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":"Receding Horizon Estimation for Networked Control Systems with Packet Losses","authors":"Chaochao Li, Chunyan Han, Fang He","doi":"10.1109/ICARCV.2018.8581105","DOIUrl":"https://doi.org/10.1109/ICARCV.2018.8581105","url":null,"abstract":"This paper is interested in the receding horizon estimation problem for the networked control systems with packet losses. Different from the scalar data losses case, we introduce a diagonal matrix to represent the phenomenon of packet losses, where each element of the diagonal matrix is a binary stochastic variable and indicates the arrival of the corresponding measurement component. That means different observation components have different packet loss probability. A batch form and a recursive form for the receding horizon estimation are proposed by minimizing a new cost function that includes two terminal weighting terms. Using the derived condition, the stability of the proposed receding horizon estimation is proved. Finally, a numerical example is provided for illustration.","PeriodicalId":395380,"journal":{"name":"2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)","volume":"217 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116160518","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":"Enhanced Character Segmentation for Multi-Language Data Plate in Substation Transformer Based on Connected Component Analysis","authors":"Jieling Zheng, Xiren Miao, Shih-Hau Fang, Jing Chen, Hao Jiang","doi":"10.1109/ICARCV.2018.8581282","DOIUrl":"https://doi.org/10.1109/ICARCV.2018.8581282","url":null,"abstract":"Intelligent inspection in the substation transformer using optical character recognizer has been developing rapidly. Character segmentation from the text line of data plate is an important step for localization and recognition of electrical equipment. However, on-site character segmentation is challenging if the data plate contains multiple languages, especially when the width between Chinese and non-Chinese character differs significantly and the complex environments cause the light reflection and fading. This paper proposes a new method, based on analyzing the connected component and Chinese character's structure, to segment characters from multi-language data plate of substations. The proposed method uses the combination of the HSV color space and multi-scale MSRCP to reduce the effect of illumination and complex background. The proposed method utilized the width of each kind character, the interval between characters and the relationship within the left-right structure Chinese character to improve the segmentation accuracy. Experimental results show that the text lines from the data plate in substation transformer, including Chinese, English, Roman numerals, Arabic numerals and symbols, can be segmented correctly. Results show that the proposed method outperforms two existing character segmentation methods and achieves 99.4% precision in the multi-language data plate dataset.","PeriodicalId":395380,"journal":{"name":"2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116508750","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":"The Obstacle-restriction Method for Tele-operation of Unmanned Aerial Vehicles with Restricted Motion","authors":"Daniel Duberg, P. Jensfelt","doi":"10.1109/ICARCV.2018.8581381","DOIUrl":"https://doi.org/10.1109/ICARCV.2018.8581381","url":null,"abstract":"This paper presents a collision avoidance method for tele-operated unmanned aerial vehicles (UAVs). The method is designed to assist the operator at all times, such that the operator can focus solely on the main objectives instead of avoiding obstacles. We restrict the altitude to be fixed in a three dimensional environment to simplify the control and operation of the UAV. The method contributes a number of desired properties not found in other collision avoidance systems for tele-operated UAVs. Our method i) can handle situations where there is no input from the user by actively stopping and proceeding to avoid obstacles, ii) allows the operator to slide between prioritizing staying away from objects and getting close to them in a safe way when so required, and iii) provides for intuitive control by not deviating too far from the control input of the operator. We demonstrate the effectiveness of the method in real world experiments with a physical hexacopter in different indoor scenarios. We also present simulation results where we compare controlling the UAV with and without our method activated.","PeriodicalId":395380,"journal":{"name":"2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121434983","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":"Excitation current calculation of a brushless synchronous generator under different speed and load","authors":"Kai Xiong, Yun-hua Li, Yun-Ze Li, Jixiang Wang","doi":"10.1109/ICARCV.2018.8581373","DOIUrl":"https://doi.org/10.1109/ICARCV.2018.8581373","url":null,"abstract":"The excitation current calculation is significant for BLSG design and efficiency analysis. While, the varying work condition bring big difficult to analyze the excitation characteristic of the BLSG. In this paper, a steady state excitation current calculation method for BLSG which can reflect the speed and load change is presented. Firstly, the transform equations from three phase coordinated to d-q axial is given. Then, the excitation current calculation model is deduced based on the steady state model of BLSG. In which, the OCC is adopted to calculate the saturation of BLSG reaction reactance under rated speed. Then, the calculation model is extended to common speed through conversion. Finally, the calculation simulation of excitation current under different speed and load is conducted. The result shows that the excitation current and saturation degree decrease with the speed increase and increase with the rising load.","PeriodicalId":395380,"journal":{"name":"2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126221321","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}