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2019 Chinese Control And Decision Conference (CCDC)最新文献

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Fast Design and Optimization of Low Energy Moon Return Orbit via STK/Astrogator 基于STK/Astrogator的低能月球返回轨道快速设计与优化
2019 Chinese Control And Decision Conference (CCDC) Pub Date : 2019-06-01 DOI: 10.1109/CCDC.2019.8832816
L. Yue, Qian Yingjing, Jing Wuxing
{"title":"Fast Design and Optimization of Low Energy Moon Return Orbit via STK/Astrogator","authors":"L. Yue, Qian Yingjing, Jing Wuxing","doi":"10.1109/CCDC.2019.8832816","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8832816","url":null,"abstract":"In this paper the fast design and optimization of low energy Moon return orbit is realized with STK/Astrogator. With the analysis of the dynamical characteristics of the low energy return orbit, the return orbit is divided into two phases and a bi-directional integral searching method is proposed. To carry out the searching and optimization process, the STK/Astrogator module is applied to build the simulation environment. The calculation result shows that the low energy Moon return orbit can be designed and optimized efficiently and automatically with the STK/Astrogator module and the searching method proposed.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121116236","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
Research on Teaching Reform of Modern Control Theory under Engineering Education Professional Certification 工程教育专业认证下现代控制理论教学改革研究
2019 Chinese Control And Decision Conference (CCDC) Pub Date : 2019-06-01 DOI: 10.1109/CCDC.2019.8833275
Tao Liu
{"title":"Research on Teaching Reform of Modern Control Theory under Engineering Education Professional Certification","authors":"Tao Liu","doi":"10.1109/CCDC.2019.8833275","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8833275","url":null,"abstract":"Engineering education certification is a special certification for the implementation of engineering education in higher education institutions, which requires undergraduate education to be implemented in the analysis and solution of complex engineering problems. This paper analyzes the problems existing in the teaching process of \"modern control theory\", and puts forward the reform measures of \"modern control theory\", that is, optimizing the teaching content on the basis of guaranteeing the theoretical system of the course; Multiple measures to stimulate students' interest in learning; Strengthen the engineering attribute and times characteristic of the course content; Improve students' ability to analyze and solve complex automation engineering problems.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127193294","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
An Adaptive Neural Network Control Method for Robotic Manipulators Trajectory Tracking 机械臂轨迹跟踪的自适应神经网络控制方法
2019 Chinese Control And Decision Conference (CCDC) Pub Date : 2019-06-01 DOI: 10.1109/CCDC.2019.8832715
Lei Zhang, L. Cheng
{"title":"An Adaptive Neural Network Control Method for Robotic Manipulators Trajectory Tracking","authors":"Lei Zhang, L. Cheng","doi":"10.1109/CCDC.2019.8832715","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8832715","url":null,"abstract":"In engineering applications, the trajectory tracking control performance of a robotic manipulator is affected by many uncertain factors, such as disturbance and friction. It is difficult to establish an exact model for a robotic manipulator with unknown dynamics. This paper proposes an adaptive control algorithm based on RBF neural network for the manipulator trajectory tracking control. Firstly, a neural network is employed to off-line identify the unknown model of the manipulator system. Then, another RBF neural network is adopted to approximate and compensate the uncertain item in the nonlinear dynamic model respectively. Based on Lyapunov stability theory, the corresponding adaptive adjustment laws of neural network weights are derived, and a robust controller is designed to further reduce the approximation error of the model. At last, experimental results are performed to illustrate the trajectory tracking performance and anti-interference ability of the proposed control method.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127345865","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: 1
Bus Priority Strategy Considering Signal Compensation for Non-bus Priority Phase 考虑非优先级阶段信号补偿的总线优先级策略
2019 Chinese Control And Decision Conference (CCDC) Pub Date : 2019-06-01 DOI: 10.1109/CCDC.2019.8832704
Jing Jin, Yujie Sun, Jinquan Zhen
{"title":"Bus Priority Strategy Considering Signal Compensation for Non-bus Priority Phase","authors":"Jing Jin, Yujie Sun, Jinquan Zhen","doi":"10.1109/CCDC.2019.8832704","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8832704","url":null,"abstract":"In order to balance the traffic efficiency of non-priority phase, to enhance the overall level of service (LOS) of the intersection, this paper puts forward a bus priority strategy considering the non-priority signal phase compensation. Firstly, based on the LOS constraint, a bus priority strategy with no signal compensation for non-bus priority and a bus priority strategy with signal compensation are established. Then, a one-time compensation strategy and staged compensation strategy are proposed for the bus priority strategy with signal compensation.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127467954","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: 1
H∞ Functional Observer Design for One-Sided Lipschitz Nonlinear Systems with Time-Delay 单侧Lipschitz非线性时滞系统的H∞泛函观测器设计
2019 Chinese Control And Decision Conference (CCDC) Pub Date : 2019-06-01 DOI: 10.1109/CCDC.2019.8833429
Yujie Zhao, Cong Lin, Xiushan Cai
{"title":"H∞ Functional Observer Design for One-Sided Lipschitz Nonlinear Systems with Time-Delay","authors":"Yujie Zhao, Cong Lin, Xiushan Cai","doi":"10.1109/CCDC.2019.8833429","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8833429","url":null,"abstract":"H∞ functional observer design for one-sided Lipschitz nonlinear systems with time-delay is investigated. The existence conditions of the gain matrices of the H∞ functional observer are derived based on the linear matrix inequality, and the gain matrices of the functional observer is obtained. The error dynamics asymptotically converges to zero when systems in the absence of noises. The proposed functional observer can effectively suppress disturbances in the presence of noises. Finally, simulation results are given to illustrate the effectiveness of the proposed method in this paper.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127511278","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
Distributed Min-max Optimization over Digraphs 有向图上的分布式最小最大优化
2019 Chinese Control And Decision Conference (CCDC) Pub Date : 2019-06-01 DOI: 10.1109/CCDC.2019.8832607
Pei Xie, Keyou You, Cheng Wu
{"title":"Distributed Min-max Optimization over Digraphs","authors":"Pei Xie, Keyou You, Cheng Wu","doi":"10.1109/CCDC.2019.8832607","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8832607","url":null,"abstract":"This paper considers the problem of minimizing the maximum of several convex functions which are known by local nodes. First, the problem is transformed to a distributed constrained optimization. Then two methods, namely, constructing an exact penalty function and generating approximate projection, are proposed to handle constraints. Under a strongly connected unbalanced digraph, the two algorithms are both proved to converge to some common optimal solution, which is also validated by an example of localizing the Chebyshev center.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124857487","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
Environment-Based Railway Transportation Safety Assessment Using Hybrid Belief Rule Base 基于混合信念规则库的铁路运输环境安全评价
2019 Chinese Control And Decision Conference (CCDC) Pub Date : 2019-06-01 DOI: 10.1109/CCDC.2019.8832373
Jie Lei, Xiaobin Xu, Leilei Chang
{"title":"Environment-Based Railway Transportation Safety Assessment Using Hybrid Belief Rule Base","authors":"Jie Lei, Xiaobin Xu, Leilei Chang","doi":"10.1109/CCDC.2019.8832373","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8832373","url":null,"abstract":"For the high-speed line and the existing line in the Cheng-Yu region, an environment-based railway transportation safety assessment approach using hybrid belief rule base (H-BRB) is proposed. Indicators of building the H-BRB models include rain, wind, fog, frost, disasters and so on. Model data are from January 1, 2017, to August 30, 2018. The case study shows that high-speed line is relatively safer than the existing line. The results of the assessment are compared with the historical records of accidents and failures to verify the effectiveness of the method. The H-BRB model contains both conjunctive and disjunctive rules, which can reduce the number of rules and thus avoid the combination explosion problem.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124951316","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
Angle of Attack Identification of a Miniature Guided Munition 一种小型制导弹药的攻角识别
2019 Chinese Control And Decision Conference (CCDC) Pub Date : 2019-06-01 DOI: 10.1109/CCDC.2019.8833096
Fan Junfang, Tian Xiang
{"title":"Angle of Attack Identification of a Miniature Guided Munition","authors":"Fan Junfang, Tian Xiang","doi":"10.1109/CCDC.2019.8833096","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8833096","url":null,"abstract":"Combined with aerodynamic calculation and accelerometer-based method for estimating the angle of attack of the guided munitions, this paper studies the angle of attack identification of a miniature guided munition. Through the establishment of the aerodynamic model, the aerodynamic and balanced angle of attack data under the typical flight conditions of the guided munitions are calculated. Based on the aerodynamic characteristics, this paper establishes an angle of attack identification model and proposes an IMU layout scheme. Combined with the test data, the angle of attack identification results of the guided munitions were calculated. The comparison with the simulation results shows that the angle of attack identification based on flight test data is consistent with the aerodynamic simulation results, which proves that the proposed angle of attack identification method is reasonable and feasible.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125171654","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
UAV Target Detection based on RetinaNet 基于retanet的无人机目标检测
2019 Chinese Control And Decision Conference (CCDC) Pub Date : 2019-06-01 DOI: 10.1109/CCDC.2019.8832517
Zhao Tong, L. Jieyu, Du Zhiqiang
{"title":"UAV Target Detection based on RetinaNet","authors":"Zhao Tong, L. Jieyu, Du Zhiqiang","doi":"10.1109/CCDC.2019.8832517","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8832517","url":null,"abstract":"The traditional target detection is basically impossible in the air-to-ground scene with high complexity. The detection algorithm based on deep learning has become a research hotspot with its applicability and robustness. However, the small scale of target and the lack of feature information in such scenes will make it difficult for UAV to effectively detect targets. Consider all these, this paper improves the network structure of feature extraction layer, re-selects the scale and quantity of anchors by system clustering method, and optimizes the calculation of Focal loss based on RetinaNet. Through simulation test, the method improves the detection accuracy under the premise of ensuring accuracy. Further more, several experiments on the UAV platform show that the improved RetinaNet has higher detection accuracy.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125826622","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: 7
Modeling and Robust Control with Virtual Inertia for Super-large-Scale Battery Energy Storage System 超大规模电池储能系统的建模与虚拟惯性鲁棒控制
2019 Chinese Control And Decision Conference (CCDC) Pub Date : 2019-06-01 DOI: 10.1109/CCDC.2019.8833238
Xiangjun Li, Shangxing Wang, Shijie Yan, Xue-cui Jia
{"title":"Modeling and Robust Control with Virtual Inertia for Super-large-Scale Battery Energy Storage System","authors":"Xiangjun Li, Shangxing Wang, Shijie Yan, Xue-cui Jia","doi":"10.1109/CCDC.2019.8833238","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8833238","url":null,"abstract":"A secondary coordinated control method with virtual inertia is proposed in this paper, which takes full advantage of the large capacity of energy storage in the super-large-scale energy storage system. Firstly, the architecture of super-large-scale energy storage system and the structure of control system based on power converter are constructed. Accordingly, the non-linear model of the system is established and the virtual synchronous generator model is equivalent. Meanwhile, the influence of different virtual inertia on the output frequency of the system is investigated. Based on these, a secondary coordinated controller is designed by using robust control method. As a result, it can solve the asynchronous problem of voltage and frequency when multiple energy storage units are connected to the grid in large-scale energy storage system, due to the complexity of equipment and the limitation of conventional control system architecture. Finally, a simulation system of energy storage station is built to verify the control effect of virtual inertia and the designed secondary coordination controller.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125883265","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
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