Pub Date : 2021-05-22DOI: 10.1109/CCDC52312.2021.9602202
Dejun Zhu, Yini Wang, Jun Yang
In this paper, we aim to explore stochastic stability for nonlinear impulsive system with brownian motion driven by quadratic variation. The mathematical model of impulsive system is made up of differential form and quadratic variation by brownian motion which is independent of the impulsive of the system. Based on employing $mathcal{L}$-operator, our proposed consequences supply sufficient conditions for $gamma$-moment exponential stability when the impulsive of the system is deterministic. Finally, a practical example is performed to corroborate the benefits and validity of our theoretical analysis.
{"title":"Stability analysis for stochastic impulsive system with brownian motion driven by quadratic variation","authors":"Dejun Zhu, Yini Wang, Jun Yang","doi":"10.1109/CCDC52312.2021.9602202","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602202","url":null,"abstract":"In this paper, we aim to explore stochastic stability for nonlinear impulsive system with brownian motion driven by quadratic variation. The mathematical model of impulsive system is made up of differential form and quadratic variation by brownian motion which is independent of the impulsive of the system. Based on employing $mathcal{L}$-operator, our proposed consequences supply sufficient conditions for $gamma$-moment exponential stability when the impulsive of the system is deterministic. Finally, a practical example is performed to corroborate the benefits and validity of our theoretical analysis.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115012831","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}
Pub Date : 2021-05-22DOI: 10.1109/CCDC52312.2021.9601804
Jian Liu, Huiguo Wu, Yuedong Wu, Bin Chen, Weidong Xu
The Internet of Things (IoT) technology for cloud services has made some progress. However, there are still many limitations in largescale information flow perception modeling and performance optimization. In this paper, the Mixed Logic Dynamic modeling method of IoT information flow perception is studied. The IoT sensor nodes, controlled nodes and coordination nodes are used to describe the system application scenarios, whereas the automaton is used to carry out internal information transmission, This lays an important foundation for the coordination and optimization of the system. Then, an open queuing method based on large-scale information flow perception modeling and network delay analysis method is proposed. By analyzing the end-to-end delay of the node path and the average delay analysis of the whole queuing network, the open queuing is obtained, So as to maximize the performance of the perceived network in the IoT. Aiming at the characteristics of distributed data of information flow perception in the IoT, a priority-based queuing network is proposed to model and analyze the aggregation nodes based on embedded multi-core System on Chip (SoC), which greatly improves the performance of embedded multicore SoC.
{"title":"Mixed Logic Dynamic modeling used for Cloud Services Optimization in Smart City","authors":"Jian Liu, Huiguo Wu, Yuedong Wu, Bin Chen, Weidong Xu","doi":"10.1109/CCDC52312.2021.9601804","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9601804","url":null,"abstract":"The Internet of Things (IoT) technology for cloud services has made some progress. However, there are still many limitations in largescale information flow perception modeling and performance optimization. In this paper, the Mixed Logic Dynamic modeling method of IoT information flow perception is studied. The IoT sensor nodes, controlled nodes and coordination nodes are used to describe the system application scenarios, whereas the automaton is used to carry out internal information transmission, This lays an important foundation for the coordination and optimization of the system. Then, an open queuing method based on large-scale information flow perception modeling and network delay analysis method is proposed. By analyzing the end-to-end delay of the node path and the average delay analysis of the whole queuing network, the open queuing is obtained, So as to maximize the performance of the perceived network in the IoT. Aiming at the characteristics of distributed data of information flow perception in the IoT, a priority-based queuing network is proposed to model and analyze the aggregation nodes based on embedded multi-core System on Chip (SoC), which greatly improves the performance of embedded multicore SoC.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115637273","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}
The health of the aircraft's anti-skid braking system is critical to the flight of the aircraft. The failure of the aircraft's anti-skid brake will affect the system efficiency and flight safety. Therefore, this paper proposes an aircraft anti-skid brake system fault diagnosis method based on Grey Wolf Optimizer (GWO) and Probabilistic Neural Networks (PNN). First, preprocess the acquired data of five parameters of a certain type of aircraft anti-skid brake system: wheel speed, aircraft speed, braking time, brake pressure, and brake servo valve control current to create a PNN fault diagnosis model. Aiming at the shortcomings of PNN network smoothing factor selection based on experience, the GWO optimization algorithm is proposed to optimize the PNN network to find the optimal smoothing factor. The validity of the optimal GWO-PNN fault diagnosis model created is verified by experiments with the relevant parameter data of the brake system. The results show that the GWO-PNN-based aircraft anti-skid brake system fault diagnosis method proposed in this paper can effectively solve the problem of poor fault diagnosis effect caused by the artificial setting of the smoothing factor of the probabilistic neural network, avoiding the interference and influence of human factors. It has a good fault diagnosis performance. The fault diagnosis accuracy rate of the GWO-PNN model is as high as 95%, which is better than the fault diagnosis of the PNN and Back propagation (BP) diagnostic models.
{"title":"Fault Diagnosis Method of Aircraft Anti-skid Brake System Based on GWO-PNN","authors":"Jianguo Cui, Ningning Zhang, Xiao Cui, Jinglin Wang, Mingyue Yu, Dong Liu, Liying Jiang","doi":"10.1109/CCDC52312.2021.9601948","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9601948","url":null,"abstract":"The health of the aircraft's anti-skid braking system is critical to the flight of the aircraft. The failure of the aircraft's anti-skid brake will affect the system efficiency and flight safety. Therefore, this paper proposes an aircraft anti-skid brake system fault diagnosis method based on Grey Wolf Optimizer (GWO) and Probabilistic Neural Networks (PNN). First, preprocess the acquired data of five parameters of a certain type of aircraft anti-skid brake system: wheel speed, aircraft speed, braking time, brake pressure, and brake servo valve control current to create a PNN fault diagnosis model. Aiming at the shortcomings of PNN network smoothing factor selection based on experience, the GWO optimization algorithm is proposed to optimize the PNN network to find the optimal smoothing factor. The validity of the optimal GWO-PNN fault diagnosis model created is verified by experiments with the relevant parameter data of the brake system. The results show that the GWO-PNN-based aircraft anti-skid brake system fault diagnosis method proposed in this paper can effectively solve the problem of poor fault diagnosis effect caused by the artificial setting of the smoothing factor of the probabilistic neural network, avoiding the interference and influence of human factors. It has a good fault diagnosis performance. The fault diagnosis accuracy rate of the GWO-PNN model is as high as 95%, which is better than the fault diagnosis of the PNN and Back propagation (BP) diagnostic models.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115755513","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}
Domestic mass data processing system in aerospace field uses big data simple sampling algorithm for data specification in the data preprocessing stage. This paper analyzes the data curve distortion caused by this algorithm, and proposes an optimization method for that. Finally, a big data sampling algorithm based on peak detection is adopted to achieve the purpose of quickly viewing the fidelity and complete picture of massive historical data, while ensuring the correctness of the data interpretation after data preprocessing at the same time. Through the using of real test data for verification, in the data preprocessing stage of the domestic mass data processing system, the large data sampling algorithm based on peak detection is adopted to achieve the high fidelity of the data curve after sampling.
{"title":"Big Data Sampling Algorithm Based on Peak Detection","authors":"Mengyu Liu, Yuhang Wang, Ruishi Lin, Shenhang Wang, Wei Zheng","doi":"10.1109/CCDC52312.2021.9601711","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9601711","url":null,"abstract":"Domestic mass data processing system in aerospace field uses big data simple sampling algorithm for data specification in the data preprocessing stage. This paper analyzes the data curve distortion caused by this algorithm, and proposes an optimization method for that. Finally, a big data sampling algorithm based on peak detection is adopted to achieve the purpose of quickly viewing the fidelity and complete picture of massive historical data, while ensuring the correctness of the data interpretation after data preprocessing at the same time. Through the using of real test data for verification, in the data preprocessing stage of the domestic mass data processing system, the large data sampling algorithm based on peak detection is adopted to achieve the high fidelity of the data curve after sampling.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116669712","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}
Pub Date : 2021-05-22DOI: 10.1109/CCDC52312.2021.9602752
Saeedreza Jadidi, H. Badihi, Youmin Zhang
A novel fault-tolerant control (FTC) approach for an AC/DC pulse-width modulation (PWM) power electronic converter at microgrid level is proposed in this paper. A cluster of loads and renewable energy resources including wind turbines (WT) and solar photovoltaic (PV) array are considered as a hybrid AC/DC microgrid. In order to tolerate the effects of power-loss faults in the PV system and prevent their propagation through the entire microgrid, an active FTC approach based on fuzzy logic for the AC/DC PWM converter is presented. The effectiveness of the proposed approach is demonstrated in MATLAB/Simulink environment using a well-designed microgrid benchmark model.
{"title":"Model-Based Active Fault-Tolerant Control for Power Electronic Converter in a Hybrid AC/DC Microgrid","authors":"Saeedreza Jadidi, H. Badihi, Youmin Zhang","doi":"10.1109/CCDC52312.2021.9602752","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602752","url":null,"abstract":"A novel fault-tolerant control (FTC) approach for an AC/DC pulse-width modulation (PWM) power electronic converter at microgrid level is proposed in this paper. A cluster of loads and renewable energy resources including wind turbines (WT) and solar photovoltaic (PV) array are considered as a hybrid AC/DC microgrid. In order to tolerate the effects of power-loss faults in the PV system and prevent their propagation through the entire microgrid, an active FTC approach based on fuzzy logic for the AC/DC PWM converter is presented. The effectiveness of the proposed approach is demonstrated in MATLAB/Simulink environment using a well-designed microgrid benchmark model.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116903096","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}
Pub Date : 2021-05-22DOI: 10.1109/CCDC52312.2021.9602102
Wu Guangyun, Zhou Zhiping
The fixed threshold selection of traditional ORB algorithm results in many false extractions and mismatches, which cannot solve the problem of sensitivity to changes in light. Aiming at this problem, an improved ORB feature point extraction and matching method based on quadtree was proposed. Firstly, set the local adaptive threshold, and propose the adaptive threshold selection criteria to achieve the accurate extraction of ORB feature points; then on the basis of the improved ORB feature points, the improved quadtree is used to screen the feature points; Finally, the LMedS method is used to complete the matching according to the selected feature points. Experimental results show that the improved method has strong adaptability to brightness changes, and the calculation speed and extraction accuracy have been improved. The total matching time is reduced, the number of mismatched points is less, the correct matching rate is higher, and it has good accuracy and real-time performance.
{"title":"An Improved ORB Feature Extraction and Matching Algorithm","authors":"Wu Guangyun, Zhou Zhiping","doi":"10.1109/CCDC52312.2021.9602102","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602102","url":null,"abstract":"The fixed threshold selection of traditional ORB algorithm results in many false extractions and mismatches, which cannot solve the problem of sensitivity to changes in light. Aiming at this problem, an improved ORB feature point extraction and matching method based on quadtree was proposed. Firstly, set the local adaptive threshold, and propose the adaptive threshold selection criteria to achieve the accurate extraction of ORB feature points; then on the basis of the improved ORB feature points, the improved quadtree is used to screen the feature points; Finally, the LMedS method is used to complete the matching according to the selected feature points. Experimental results show that the improved method has strong adaptability to brightness changes, and the calculation speed and extraction accuracy have been improved. The total matching time is reduced, the number of mismatched points is less, the correct matching rate is higher, and it has good accuracy and real-time performance.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117067529","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}
Pub Date : 2021-05-22DOI: 10.1109/CCDC52312.2021.9601763
Shuanglin Li, Lin Li, Yebi Cui
Target threat level assessment is an important part of air defense command operations, and it plays an increasingly important role in modern air defense wars. As an act of reasoning and decision-making, threat assessment always involves many factors. Based on the consideration of multiple threat indicators, combined with D number theory and interval number, an air defense target threat assessment method is proposed in this paper. Through real-time quantification of all indicators data to generate interval numbers, the evidence under each indicator is constructed and the D number theory is applied to fuse the evidence to achieve accurate assessment of threat targets. The simulation of a set of experimental data shows the effectiveness of the proposed method.
{"title":"A Novel Evaluation Method of Air Target Threat Based on D Number Theory of Interval Numbers","authors":"Shuanglin Li, Lin Li, Yebi Cui","doi":"10.1109/CCDC52312.2021.9601763","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9601763","url":null,"abstract":"Target threat level assessment is an important part of air defense command operations, and it plays an increasingly important role in modern air defense wars. As an act of reasoning and decision-making, threat assessment always involves many factors. Based on the consideration of multiple threat indicators, combined with D number theory and interval number, an air defense target threat assessment method is proposed in this paper. Through real-time quantification of all indicators data to generate interval numbers, the evidence under each indicator is constructed and the D number theory is applied to fuse the evidence to achieve accurate assessment of threat targets. The simulation of a set of experimental data shows the effectiveness of the proposed method.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"86 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121111462","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}
Pub Date : 2021-05-22DOI: 10.1109/CCDC52312.2021.9602639
Liang Mingtong, Wang Lidi, Zhu Sitong, Miao Yilin, Wang Xinyao
In order to improve the coupling relationship between energy sources and improve the energy utilization rate, this paper controls the parameter variables of energy storage equipment and renewable energy power generation technology, compiles the corresponding optimization program, obtains the optimal combination of different energy types distribution work, and realizes the economic optimization goal. The program analysis shows that: the existence of renewable energy power generation technology will greatly reduce the wind energy abandonment rate and make the wind energy output regulation within the controllable range; the existence of energy storage equipment will reduce the overall economic consumption of the system; the joint output of different energy sources can not only meet the energy demand, but also improve the efficiency of the whole system, so the system has flexible energy regulation ability, At the same time, the economic budget is within the controllable range and has practical value.
{"title":"Optimization of electric-heat-gas model based on interval linear programming","authors":"Liang Mingtong, Wang Lidi, Zhu Sitong, Miao Yilin, Wang Xinyao","doi":"10.1109/CCDC52312.2021.9602639","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602639","url":null,"abstract":"In order to improve the coupling relationship between energy sources and improve the energy utilization rate, this paper controls the parameter variables of energy storage equipment and renewable energy power generation technology, compiles the corresponding optimization program, obtains the optimal combination of different energy types distribution work, and realizes the economic optimization goal. The program analysis shows that: the existence of renewable energy power generation technology will greatly reduce the wind energy abandonment rate and make the wind energy output regulation within the controllable range; the existence of energy storage equipment will reduce the overall economic consumption of the system; the joint output of different energy sources can not only meet the energy demand, but also improve the efficiency of the whole system, so the system has flexible energy regulation ability, At the same time, the economic budget is within the controllable range and has practical value.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121118194","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}
Pub Date : 2021-05-22DOI: 10.1109/CCDC52312.2021.9602799
Hao Guo, Chenglin Liu
In this paper, we investigate the cooperative control problem of vehicle platooning with time delay and without knowing the velocity of the leading vehicle. To tackle this issue, an observer with time delay is presented to observe the velocity of the leading vehicle, and a distributed control algorithm based on the observed velocity is proposed. With the help of the frequency-domain method, the sufficient conditions for internal stability are obtained. In addition, the string stability is analyzed under the predecessor-leader following (PLF) topology. Numerical experiments are given to verify the effectiveness of the proposed observer and the control algorithm.
{"title":"Observer-based Consensus Protocol of Vehicles Platooning with Time Delay","authors":"Hao Guo, Chenglin Liu","doi":"10.1109/CCDC52312.2021.9602799","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602799","url":null,"abstract":"In this paper, we investigate the cooperative control problem of vehicle platooning with time delay and without knowing the velocity of the leading vehicle. To tackle this issue, an observer with time delay is presented to observe the velocity of the leading vehicle, and a distributed control algorithm based on the observed velocity is proposed. With the help of the frequency-domain method, the sufficient conditions for internal stability are obtained. In addition, the string stability is analyzed under the predecessor-leader following (PLF) topology. Numerical experiments are given to verify the effectiveness of the proposed observer and the control algorithm.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121247271","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}
DC microgrids are constructed from inverter-based distributed generations (DG) to achieve a various range of applications. Such configuration eliminated DC/AC conversion and simplified the control objectives design, being DC-grid voltage regulation and curretn sharing. This paper develops a stochastic distributed washout filter-based control scheme that can achieve current sharing of DGs and voltage restoration of DC bus in mean square subject to additive noises and time delays over fading networks. Since the cyber channels are exposed to inherent additive noises and time delays, the information exchange among multiple and cooperative DGs may be disturbed in fading communication networks, where fading may either be due to noises, delays, and shadowing from obstacles affecting the wave propagation. As a results, fading makes every DG receives incomplete/imprecise information from its neighbors. To dispel the adverse influences of noises and time delays over fading networks, a washout filter-based distributed noise-resiliency control algorithm is developed for DC microgrids, in which only the current state variable is exchanged among DGs with the local decentralized voltage controller. By introducing stochastic theory and Lyapunov stability function, the criteria for the stability analysis and delays boundedness considering noise interferences is derived to ensure the stability operation of the whole closed-loop DC network. The obtained results show the effectiveness of the proposed strategy by a tested DC microgrid in OPAL-RT real-time simulator.
{"title":"A Resilient Distributed Consensus Control Scheme for DC Microgrids Over Fading Channels","authors":"Jingang Lai, Xiaoqing Lu, Guoping Liu, Yaonan Wang, Xinghuo Yu","doi":"10.1109/CCDC52312.2021.9602398","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602398","url":null,"abstract":"DC microgrids are constructed from inverter-based distributed generations (DG) to achieve a various range of applications. Such configuration eliminated DC/AC conversion and simplified the control objectives design, being DC-grid voltage regulation and curretn sharing. This paper develops a stochastic distributed washout filter-based control scheme that can achieve current sharing of DGs and voltage restoration of DC bus in mean square subject to additive noises and time delays over fading networks. Since the cyber channels are exposed to inherent additive noises and time delays, the information exchange among multiple and cooperative DGs may be disturbed in fading communication networks, where fading may either be due to noises, delays, and shadowing from obstacles affecting the wave propagation. As a results, fading makes every DG receives incomplete/imprecise information from its neighbors. To dispel the adverse influences of noises and time delays over fading networks, a washout filter-based distributed noise-resiliency control algorithm is developed for DC microgrids, in which only the current state variable is exchanged among DGs with the local decentralized voltage controller. By introducing stochastic theory and Lyapunov stability function, the criteria for the stability analysis and delays boundedness considering noise interferences is derived to ensure the stability operation of the whole closed-loop DC network. The obtained results show the effectiveness of the proposed strategy by a tested DC microgrid in OPAL-RT real-time simulator.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121269361","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}
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