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2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)最新文献

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MFO-WC Based Fuzzy logic PI Controller for Load Frequency Control of Autonomous Microgrid System 基于MFO-WC的模糊PI控制器在自主微网系统负荷频率控制中的应用
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2022-05-17 DOI: 10.1109/CoDIT55151.2022.9803998
Abdessamade Bouaddi, R. Rabeh, M. Ferfra
{"title":"MFO-WC Based Fuzzy logic PI Controller for Load Frequency Control of Autonomous Microgrid System","authors":"Abdessamade Bouaddi, R. Rabeh, M. Ferfra","doi":"10.1109/CoDIT55151.2022.9803998","DOIUrl":"https://doi.org/10.1109/CoDIT55151.2022.9803998","url":null,"abstract":"In This paper, a mathematical model of an autonomous micro-grid (MG) with both uncontrollable and controllable sources is proposed for load frequency analysis.Using the ITAE fitness function, a new hybrid algorithm based on Moth Flame and Water Cycle Optimization (MFO-WC) is used to tune Fuzzy logic proportional-integral (FLPI) controller parameters in order to minimize frequency deviation of the proposed microgrid. This study considers a variety of scenarios to illustrate the superiority of the suggested controller. Only a rapid change in load, wind and solar power chanes, as well as parametric uncertainty, have been evaluated in the scenarios. The superiority of MFO-WC is demonstrated by comparison with other algorithms such as PSO, MFO, WC and GA. Frequency model of system was developed in MATLAB /SIMULINK and the simulation results for different scenarios confirms that (MFO-WC) tuned FLPI is having better performance compared to other techniques.","PeriodicalId":185510,"journal":{"name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128763891","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
Control Law for the Air Inlet of a Supersonic Drone 超声速无人机进气道控制律研究
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2022-05-17 DOI: 10.1109/CoDIT55151.2022.9803926
A. Tudosie
{"title":"Control Law for the Air Inlet of a Supersonic Drone","authors":"A. Tudosie","doi":"10.1109/CoDIT55151.2022.9803926","DOIUrl":"https://doi.org/10.1109/CoDIT55151.2022.9803926","url":null,"abstract":"The paper deals with a supersonic air inlet for a supersonic drone, considered as controlled object The author has determined inlet's optimal architecture based on its efficiency (total pressure recovery) maximization, using the carpet search method. Inlet's characteristics were also determined and (based on same algorithm) one has determined the effective inlet control law with respect to the flight Mach number. A simple control system was proposed for the adapting of the inlet to the drone's flight regime and one has identified its main parts and described by their linearised adimensional mathematical model; the block diagram with transfer functions was built A study about system's quality (its step response) was performed which lead to some conclusions, concerning system's using possibilities, as well as for its pre-design.","PeriodicalId":185510,"journal":{"name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129145244","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
Study on Dynamic Characteristics of Sliding Friction Interfaces in Feed System During Non-stable Starting Stage* 非稳定起动阶段进给系统滑动摩擦界面动态特性研究*
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2022-05-17 DOI: 10.1109/CoDIT55151.2022.9804069
Li Yan, Jiawei Yuan, Liang Zhengxiong, Chuang Gao, W. Xiaoqing
{"title":"Study on Dynamic Characteristics of Sliding Friction Interfaces in Feed System During Non-stable Starting Stage*","authors":"Li Yan, Jiawei Yuan, Liang Zhengxiong, Chuang Gao, W. Xiaoqing","doi":"10.1109/CoDIT55151.2022.9804069","DOIUrl":"https://doi.org/10.1109/CoDIT55151.2022.9804069","url":null,"abstract":"The feeding system with the sliding friction interfaces generates flexible shock and vibration when the driving motor is discontinuously accelerated during the starting stage. Due to the influences of the nonlinear frictional force behavior between the sliding interfaces the motion accuracy and service life of the feeding system are degraded. To understand the variation trend of the frictional force in starting transition stage from the pre-sliding regime to the macro slip regime, a LuGre model of the sliding interfaces based on the parameters identification of model using particle swarm optimization (PSO) is established, which is integrated into a joint MATLAB-ADAMS simulation model to describe frictional dynamics characteristic of the feed system. The effects of the frictional force and motor's acceleration curve on the feed system is analyzed. The simulation results show that the flexible shock of the feed system is partially offset by the frictional force between the sliding interfaces during unstable start-up stage and can be suppressed by S-type velocity curve with continuous jerk.","PeriodicalId":185510,"journal":{"name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133766019","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
Hierarchical Optimization for Solving the Integrated Berth and Quay Crane Assignment Problem in port terminal 港口码头泊位与岸机一体化配置问题的分层优化求解
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2022-05-17 DOI: 10.1109/CoDIT55151.2022.9804095
Rokaya Lassoued, Abdelkarim Elloumi
{"title":"Hierarchical Optimization for Solving the Integrated Berth and Quay Crane Assignment Problem in port terminal","authors":"Rokaya Lassoued, Abdelkarim Elloumi","doi":"10.1109/CoDIT55151.2022.9804095","DOIUrl":"https://doi.org/10.1109/CoDIT55151.2022.9804095","url":null,"abstract":"Over the last few years, the application of operations research techniques to solve various optimization problems has become a very important issue. This paper examines two of the most common problems in maritime logistics, the berth allocation problem and the quay cranes assignment problem, and solves them in a hierarchical integration. Finally, real data from a Tunisian port is used to demonstrate the efficiency of hierarchical optimization.","PeriodicalId":185510,"journal":{"name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122227491","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
A Simulation Model of Autonomous Ship Firefighting 船舶自主灭火仿真模型
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2022-05-17 DOI: 10.1109/CoDIT55151.2022.9804038
L. Males, D. Sumic, M. Rosić
{"title":"A Simulation Model of Autonomous Ship Firefighting","authors":"L. Males, D. Sumic, M. Rosić","doi":"10.1109/CoDIT55151.2022.9804038","DOIUrl":"https://doi.org/10.1109/CoDIT55151.2022.9804038","url":null,"abstract":"Autonomous resolution of ship accidents is one of the essential functions that must be established in the development of autonomous ships. One of the most dangerous incident situations which can happen on board is a fire. The development of automated firefighting systems requires the development of appropriate simulation environments for testing. In this paper a simulation model for testing agent based on board firefighting system is presented. A simulation system based on the proposed model has been developed and implemented in multiagent programmable environment. An overview of the complete simulation session results performed on this system is given.","PeriodicalId":185510,"journal":{"name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131045875","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
Remaining Useful Life Predictions for Turbofan Engine Using Semi-supervised DBN-LSTM Joint Training Model 基于半监督DBN-LSTM联合训练模型的涡扇发动机剩余使用寿命预测
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2022-05-17 DOI: 10.1109/CoDIT55151.2022.9804032
Yutong Zhang, Xiaochu Tang, Xinmin Zhang
{"title":"Remaining Useful Life Predictions for Turbofan Engine Using Semi-supervised DBN-LSTM Joint Training Model","authors":"Yutong Zhang, Xiaochu Tang, Xinmin Zhang","doi":"10.1109/CoDIT55151.2022.9804032","DOIUrl":"https://doi.org/10.1109/CoDIT55151.2022.9804032","url":null,"abstract":"In the industrial field, the health of the machine may decline in the process of working, so it is necessary to regularly maintain the health of the machine. However, traditional health maintenance methods have problems of insufficient or redundant health maintenance. Predictions of remaining useful life (RUL) play a vital role in realizing more accurate system monitoring and health management. In recent years, with the rapid development of industrial big data and deep learning, the use of multi-sensor equipment information and deep learning neural network to predict RUL has made significant progress. However, the current RUL prediction faces the following challenges: (1) Separate Data fusion and RUL prediction steps usually result in a lack of internal connection between the two models; (2) The end-to-end prediction method using a single deep learning neural network does not provide health indicator information about the degradation. (3) The industrial data available for model training is still insufficient. To overcome these shortcomings, a new RUL joint prediction model is proposed in this work. The framework combines data fusion and RUL prediction models in series for simultaneous training, which not only provides continuous visualization of the health degradation of the system, but also ensures the efficiency of RUL prediction. Based on this framework, a semi-supervised joint training model composed of deep belief network (DBN) and long short-term memory (LSTM) is designed. The effectiveness of the proposed method is verified through the C-MAPSS dataset. The application results demonstrated that the proposed method is superior to other state-of-the-art methods.","PeriodicalId":185510,"journal":{"name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128367367","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
Power System Faults Detection Based on Deep Learning and Support Vector Machine Supervised Machine Learning Techniques 基于深度学习和支持向量机监督机器学习技术的电力系统故障检测
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2022-05-17 DOI: 10.1109/CoDIT55151.2022.9803977
Nouha Bouchiba, A. Kaddouri, Amor Ounissi
{"title":"Power System Faults Detection Based on Deep Learning and Support Vector Machine Supervised Machine Learning Techniques","authors":"Nouha Bouchiba, A. Kaddouri, Amor Ounissi","doi":"10.1109/CoDIT55151.2022.9803977","DOIUrl":"https://doi.org/10.1109/CoDIT55151.2022.9803977","url":null,"abstract":"In this paper, fault detection and localization of power systems are investigated using two AI techniques. It is mainly about deep learning and support vector machine supervised machine-learning techniques. IEEE 09-bus power system is considered, and its results are compared to an IEEE 14-bus one using the accuracy score. The quantitative acquisition of fault data is performed using SimPowerSystems toolbox of Matlab. The simulation results show that the two approaches are accurate for the fault diagnosis of the power system. Both approaches proved to have fast and reliable operations. However, deep learning algorithm performances are considered more effective since it permits the classification of all types of faults. Simulation results demonstrate that the deep-learning technique achieves the accuracy of 100% compared to the support vector machine which had the accuracy of 86% and 88% for the 09-bus and 14-bus power systems respectively.","PeriodicalId":185510,"journal":{"name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131796824","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
Distribution management problem: case of vehicle routing problem with capacity constraints “CVRP” in the Moroccan petroleum sector 分配管理问题:摩洛哥石油部门产能受限的车辆路线问题“CVRP”案例
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2022-05-17 DOI: 10.1109/CoDIT55151.2022.9803955
Younes Fakhradine El Bahi, L. Ezzine, Zineb Aman, Haj El Moussami
{"title":"Distribution management problem: case of vehicle routing problem with capacity constraints “CVRP” in the Moroccan petroleum sector","authors":"Younes Fakhradine El Bahi, L. Ezzine, Zineb Aman, Haj El Moussami","doi":"10.1109/CoDIT55151.2022.9803955","DOIUrl":"https://doi.org/10.1109/CoDIT55151.2022.9803955","url":null,"abstract":"The gas stations supply problem is a major transportation and logistics problem. This paper summarizes our work to conduct a case study on the transport logistics of the oil company which aims to meet the requirements and improve its internal performance. For a company whose main activity is the management of the logistic chain and more precisely the transport of fuel, it must always look for methods to minimize the costs of transport while respecting the constraints set. This study consists of developing a mathematical model that will solve the transport problem in order to minimize transport costs and determining the optimal number of trucks by applying a transport algorithm. The results show that this solution method should help to increase the competitiveness of transportation operations in this important economic sector.","PeriodicalId":185510,"journal":{"name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134294911","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 Multiple Synchronization and Phase Shift Control for Mechatronic Vibrational Setup 机电振动装置的自适应多同步与相移控制
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2022-05-17 DOI: 10.1109/CoDIT55151.2022.9804086
B. Andrievsky, I. Zaitceva, Tao Li, Alexander L. Fradkov
{"title":"Adaptive Multiple Synchronization and Phase Shift Control for Mechatronic Vibrational Setup","authors":"B. Andrievsky, I. Zaitceva, Tao Li, Alexander L. Fradkov","doi":"10.1109/CoDIT55151.2022.9804086","DOIUrl":"https://doi.org/10.1109/CoDIT55151.2022.9804086","url":null,"abstract":"In the paper, the problem of multiple controlled synchronization of a pair of unbalanced rotors is considered. To ensure the desired system behavior in the face of uncertainty and variations of the system parameters a novel adaptive control law based on the Implicit Reference Model (IRM) approach taking into account the discrete-time implementation is proposed and studied both by the computer simulations and experiments on the Multiresonance Mechatronic Laboratory Setup (MMLS) SV-2M of the IPME RAS, demonstrating the efficiency of the proposed approach and revealing its application scope.","PeriodicalId":185510,"journal":{"name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134327330","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 Finite Control Set Model Predictive Control Scheme for a Stand-alone Wind Turbine System 一种高效的独立风力发电系统有限控制集模型预测控制方案
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2022-05-17 DOI: 10.1109/CoDIT55151.2022.9804081
Ahmed Omar Elgharib, M. Alhasheem, R. Swief, A. Naamane
{"title":"An Efficient Finite Control Set Model Predictive Control Scheme for a Stand-alone Wind Turbine System","authors":"Ahmed Omar Elgharib, M. Alhasheem, R. Swief, A. Naamane","doi":"10.1109/CoDIT55151.2022.9804081","DOIUrl":"https://doi.org/10.1109/CoDIT55151.2022.9804081","url":null,"abstract":"This paper presents an enhancement of a stand-alone wind turbine system utilizing finite control set model predictive control (FCS-MPC) methodology. The enhancement based on using the predictive control for both boost and inverter power circuits. The control system get two voltage references, one for regulating dc-link voltage and the other to obtain the desired output ac voltage. Accordingly, utilizing such a control scheme can make system's time response even faster specially at different wind speeds. Moreover, effectiveness of the discussed control system is verified in case of unexpected load changes. The suggested control strategy is tested and verified utilizing MATLAB/Simulink environment.","PeriodicalId":185510,"journal":{"name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133505841","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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