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2019 IEEE 15th International Conference on Control and Automation (ICCA)最新文献

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Maxima-Turn-Switching Strategy of Sensor-Equipped UAVs for Target Localization in 2-D and 3-D Environments 基于传感器的无人机在二维和三维环境下目标定位的最大转向切换策略
2019 IEEE 15th International Conference on Control and Automation (ICCA) Pub Date : 2019-07-16 DOI: 10.1109/ICCA.2019.8900007
R. Upasana, Satadal Ghosh
{"title":"Maxima-Turn-Switching Strategy of Sensor-Equipped UAVs for Target Localization in 2-D and 3-D Environments","authors":"R. Upasana, Satadal Ghosh","doi":"10.1109/ICCA.2019.8900007","DOIUrl":"https://doi.org/10.1109/ICCA.2019.8900007","url":null,"abstract":"This paper presents an inter-loop switched-turn strategy to drive a mobile sensory aerial agent to the unknown source of a scalar signal field in planar and 3-D environments. The source may be stationary, moving or maneuvering, but assumed to be of constant signal strength. No range, bearing angle or gradient information is considered to be available. The only available information are the scalar measurements of the signal field taken by the on-board sensor of the UAV at each time-instant, and the signal strength is assumed to lessen with distance from the source. The effectiveness of the presented method in improving estimation of the direction to the source and in approaching closer to the source in each subsequent loop is shown, and verified by simulation results, both in the presence and absence of noise in signal measurement. The time-efficiency of the proposed method for varied initial conditions, and stationary and mobile sources, is shown through simulation results by comparison with two existing methods.","PeriodicalId":130891,"journal":{"name":"2019 IEEE 15th International Conference on Control and Automation (ICCA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123623465","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
A Robust Adaptive Method Based on ESO for Trajectory Tracking of Robot Manipulator 基于ESO的机器人轨迹跟踪鲁棒自适应方法
2019 IEEE 15th International Conference on Control and Automation (ICCA) Pub Date : 2019-07-16 DOI: 10.1109/ICCA.2019.8899737
Dazi Li, Jiang Wang
{"title":"A Robust Adaptive Method Based on ESO for Trajectory Tracking of Robot Manipulator","authors":"Dazi Li, Jiang Wang","doi":"10.1109/ICCA.2019.8899737","DOIUrl":"https://doi.org/10.1109/ICCA.2019.8899737","url":null,"abstract":"Due to the strong nonlinearity, coupling and unknown external disturbances of the robot system, the problem of high precision trajectory tracking control of robot is always difficult to solve. Therefore, a robust adaptive trajectory tracking method based on extended state observer (ESO) is proposed in this paper. Extended state observer can estimate the sum of the internal and external disturbances, that is, the total disturbances of the system, and compensate it to achieve high precision tracking of the robot trajectory. Robust adaptive algorithm has good self-adjustability to the structural parameters of the robot system, so the robustness of the controller can be guaranteed. Simulation results show that the proposed method has good tracking performance and anti-interference performance.","PeriodicalId":130891,"journal":{"name":"2019 IEEE 15th International Conference on Control and Automation (ICCA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130766740","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
Kalman filter for multi-target tracking with integrated measurements subject to signal attenuation 受信号衰减影响的综合测量多目标跟踪卡尔曼滤波
2019 IEEE 15th International Conference on Control and Automation (ICCA) Pub Date : 2019-07-16 DOI: 10.1109/ICCA.2019.8899690
Qiming Zhang, K. Xiong, Wenling Li, Yang Liu
{"title":"Kalman filter for multi-target tracking with integrated measurements subject to signal attenuation","authors":"Qiming Zhang, K. Xiong, Wenling Li, Yang Liu","doi":"10.1109/ICCA.2019.8899690","DOIUrl":"https://doi.org/10.1109/ICCA.2019.8899690","url":null,"abstract":"This paper is concerned with the problem of Kalman filtering (KF) for multi-target tracking systems with integrated measurements subject to signal attenuation. In order to estimate its own state, each target relies on locally available absolute measurements and relative measurements with other targets in the neighborhood. By enforcing each target to transmit its local estimates to the neighbors in a directed graph, a modified Kalman filter is proposed. By solving the Riccati-like difference equations, the gain matrices are determined by minimizing the trace of the upper bound matrix. A numerical example is provided to verify the effectiveness of the KF.","PeriodicalId":130891,"journal":{"name":"2019 IEEE 15th International Conference on Control and Automation (ICCA)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125918650","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
Efficient Mapping without Deadlock on the Many-core Neural Network Chip 多核神经网络芯片上无死锁的高效映射
2019 IEEE 15th International Conference on Control and Automation (ICCA) Pub Date : 2019-07-16 DOI: 10.1109/ICCA.2019.8899911
Qi Zhao, Lei Deng, Guoqi Li, Guanrui Wang, Cheng Ma
{"title":"Efficient Mapping without Deadlock on the Many-core Neural Network Chip","authors":"Qi Zhao, Lei Deng, Guoqi Li, Guanrui Wang, Cheng Ma","doi":"10.1109/ICCA.2019.8899911","DOIUrl":"https://doi.org/10.1109/ICCA.2019.8899911","url":null,"abstract":"Many-core neural network chip is widely developed for the deep learning. Many-core architecture brings high parallelism while makes the model-to-core mapping intractable. Previous work focus on the functionality of the entire system, whereas, the mapping quality and deadlock issues have yet to be addressed well. In this paper, we present an algorithm which automatically maps a given neural network model onto the generic many-core chip architecture. Experimental results show that the proposed algorithm is quite efficient, and significant saving of the routing time can be achieved. Specifically, compared to the baseline of zigzag mapping, our solution is able to realize deadlock-free routing with 40.9% and 30.4% routing time saving for multi-layer perceptron and convolutional neural network applications, respectively.","PeriodicalId":130891,"journal":{"name":"2019 IEEE 15th International Conference on Control and Automation (ICCA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121920942","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
Optimal Control of CHP Plant Integrated with Load Management on HVAC System in Microgrid 微网HVAC系统负荷管理与热电联产电厂优化控制
2019 IEEE 15th International Conference on Control and Automation (ICCA) Pub Date : 2019-07-16 DOI: 10.1109/ICCA.2019.8899972
Haijie Qi, H. Yue, Jiangfeng Zhang, Steve Lo
{"title":"Optimal Control of CHP Plant Integrated with Load Management on HVAC System in Microgrid","authors":"Haijie Qi, H. Yue, Jiangfeng Zhang, Steve Lo","doi":"10.1109/ICCA.2019.8899972","DOIUrl":"https://doi.org/10.1109/ICCA.2019.8899972","url":null,"abstract":"Combined heat and power (CHP) is a typical community owned distributed generation solution in microgrid development. In this work, the ratio between the electricity output and the thermal output is controlled, along with the demand side load management, so as to minimize the overall microgrid operational cost. A model is established for the energy cost of a smart building system, which includes factors such as the real time electricity pricing, the capacity and constraints within CHP operation, the operating condition of heating, ventilation, and air - conditioning (HVAC), and the indoors air temperature of the smart building. Efficient CHP operation and HVAC load management under demand response (DR) are determined through optimization. A case study is carried out to examine the effectiveness of the proposed strategy.","PeriodicalId":130891,"journal":{"name":"2019 IEEE 15th International Conference on Control and Automation (ICCA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123938657","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
Parameter Estimation of SPMSM Using Adaptive Filter and Extended Sliding-Mode Observer 基于自适应滤波和扩展滑模观测器的SPMSM参数估计
2019 IEEE 15th International Conference on Control and Automation (ICCA) Pub Date : 2019-07-16 DOI: 10.1109/ICCA.2019.8899959
Hyoung-Woo Kim, Young-Woo Kwon, Sung-Mun Park, Joon‐Young Choi
{"title":"Parameter Estimation of SPMSM Using Adaptive Filter and Extended Sliding-Mode Observer","authors":"Hyoung-Woo Kim, Young-Woo Kwon, Sung-Mun Park, Joon‐Young Choi","doi":"10.1109/ICCA.2019.8899959","DOIUrl":"https://doi.org/10.1109/ICCA.2019.8899959","url":null,"abstract":"We propose a parameter estimation algorithm for surface-mounted permanent magnet synchronous motors (SPMSMs) using normalized least mean square (NLMS) adaptive filter and extended sliding-mode mechanical parameter observer (ESMMPO). The adaptive filter estimates electrical parameters, stator inductance, resistance, and rotor linkage flux. The ESMMPO estimates the system disturbance, from which mechanical parameters are extracted. The key feature of the proposed algorithm is that the two estimation algorithms for electrical and mechanical parameters are effectively integrated into a single framework, and the estimated rotor linkage flux is used for the system disturbance estimation of the ESMMPO in real time, which results in the accuracy improvement of the mechanical parameters. Performing extensive simulation experiments for the proposed algorithm, we verify the system parameter estimation performance for SPMSMs.","PeriodicalId":130891,"journal":{"name":"2019 IEEE 15th International Conference on Control and Automation (ICCA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121503118","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
An Efficient Approach for Adaptive Online Power Management in Mixed-Criticality Systems 混合临界系统自适应在线电源管理的一种有效方法
2019 IEEE 15th International Conference on Control and Automation (ICCA) Pub Date : 2019-07-16 DOI: 10.1109/ICCA.2019.8899993
Biao Hu, Zhengcai Cao
{"title":"An Efficient Approach for Adaptive Online Power Management in Mixed-Criticality Systems","authors":"Biao Hu, Zhengcai Cao","doi":"10.1109/ICCA.2019.8899993","DOIUrl":"https://doi.org/10.1109/ICCA.2019.8899993","url":null,"abstract":"In this paper, we present the first results known to date on applying the online dynamic power management to the mixed-criticality system, where tasks of varying criticality levels run in the same platform. We formulate the power management problem, and provide an efficient policy to adaptively manage the power mode based on the actual demand, in order to reduce the static power waste as much as possible. We explore three strategies to do the decision making of mode switching, and evaluate their effects on the online energy management. Experiments are conducted to show the effects of parameters on the energy savings.","PeriodicalId":130891,"journal":{"name":"2019 IEEE 15th International Conference on Control and Automation (ICCA)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132111829","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
A Generic Internal Model for Robust Output Regulation Problem for Plants subject to an Uncertain Exosystem* 不确定外系统下植物鲁棒输出调节问题的一般内部模型*
2019 IEEE 15th International Conference on Control and Automation (ICCA) Pub Date : 2019-07-16 DOI: 10.1109/ICCA.2019.8899477
Dabo Xu, Jie Huang
{"title":"A Generic Internal Model for Robust Output Regulation Problem for Plants subject to an Uncertain Exosystem*","authors":"Dabo Xu, Jie Huang","doi":"10.1109/ICCA.2019.8899477","DOIUrl":"https://doi.org/10.1109/ICCA.2019.8899477","url":null,"abstract":"The canonical internal model is the key technique for handling the robust output regulation problem of systems with an uncertain exosystem. However, the output mapping of this internal model relies on the uncertain parameters of the exosystem. These uncertain parameters in the output mapping have to be further estimated using the adaptive control technique, which complicates the design of the overall control law. In this paper, we consider constructing a so-called generic internal model (gIM) which has the same form as the canonical internal model but with an output mapping independent of the uncertain parameters of the exosystem. With such an internal model, the robust output regulation problem for systems with an uncertain exosystem can be solved solely by the robust control approach, which is much simpler than the control law based on the adaptive control approach. We give conditions for constructing such gIMs.","PeriodicalId":130891,"journal":{"name":"2019 IEEE 15th International Conference on Control and Automation (ICCA)","volume":"71 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131698972","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
Proportional Navigation-Benchmarked Guidance Strategy using Artificial Neural Networks 基于人工神经网络的比例导航基准制导策略
2019 IEEE 15th International Conference on Control and Automation (ICCA) Pub Date : 2019-07-16 DOI: 10.1109/ICCA.2019.8899623
Kali Charan Behara, K. Akash, S. Ahamed, Satadal Ghosh
{"title":"Proportional Navigation-Benchmarked Guidance Strategy using Artificial Neural Networks","authors":"Kali Charan Behara, K. Akash, S. Ahamed, Satadal Ghosh","doi":"10.1109/ICCA.2019.8899623","DOIUrl":"https://doi.org/10.1109/ICCA.2019.8899623","url":null,"abstract":"Pursuit of an aerial target by interceptor has become a problem of paramount importance in the last several decades. Proportional Navigation (PN) guidance law is most widely used because of its simplicity, ease in implementation and robustness. Therefore, by benchmarking PN guidance, this paper obtains effective guidance strategies leveraging artificial neural networks (ANNs). Suitable input variables that can ensure good mathematical approximation, and optimal training strategy that can ensure sufficient training accuracy are obtained. Performances of ANNs with corresponding input variables are found to be equivalently effective in comparison with PN guidance in most of the engagement geometries.","PeriodicalId":130891,"journal":{"name":"2019 IEEE 15th International Conference on Control and Automation (ICCA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117270564","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
Adaptive Fuzzy PI Controller Tuning Method For Speed Tracking of Permanent Magnet Synchronous Motor Servo System 永磁同步电机伺服系统速度跟踪的自适应模糊PI控制器整定方法
2019 IEEE 15th International Conference on Control and Automation (ICCA) Pub Date : 2019-07-01 DOI: 10.1109/ICCA.2019.8899663
Hu Li, Bao Song, Xiaoqi Tang, Tianhang Chen, Yuanlong Xie, Jian Jin
{"title":"Adaptive Fuzzy PI Controller Tuning Method For Speed Tracking of Permanent Magnet Synchronous Motor Servo System","authors":"Hu Li, Bao Song, Xiaoqi Tang, Tianhang Chen, Yuanlong Xie, Jian Jin","doi":"10.1109/ICCA.2019.8899663","DOIUrl":"https://doi.org/10.1109/ICCA.2019.8899663","url":null,"abstract":"The satisfactory speed tracking performance of a permanent magnet synchronous motor (PMSM) is hard to achieve due to the unknown disturbances, time-varying parameters, and actuator saturation. In this paper, an adaptive fuzzy PI controller with robust updating rules is proposed to improve the dynamic response of the PMSM servo system and reduce the impacts of disturbances. This controller can regulate conventional PI controller gains online with a fuzzy tuner. The scaling factors of the fuzzy tuner are online optimized by a fuzzy regulator when initial information of the dynamic non-linear system isn’t enough for designing fixed parameters fuzzy tuner in advance. Meanwhile, the robust updating rules are designed to ensure the stability and robustness of the optimization process. Through real-time PMSM speed control experiments, it is found that the proposed adaptive fuzzy PI controller is effective, and the speed-tracking and anti-disturbance performance can be improved comparing to a conventional PI controller.","PeriodicalId":130891,"journal":{"name":"2019 IEEE 15th International Conference on Control and Automation (ICCA)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117349077","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
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