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2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)最新文献

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Sizing Stand-Alone Systems “Photovoltaic/Battery” using PVSYST Software with Domestic Variable Demand 基于国内可变需求的PVSYST软件对“光伏/电池”单机系统进行分级
2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) Pub Date : 2022-05-06 DOI: 10.1109/SSD54932.2022.9955696
Roua Toujani, A. Abdelkafi, L. Krichen
{"title":"Sizing Stand-Alone Systems “Photovoltaic/Battery” using PVSYST Software with Domestic Variable Demand","authors":"Roua Toujani, A. Abdelkafi, L. Krichen","doi":"10.1109/SSD54932.2022.9955696","DOIUrl":"https://doi.org/10.1109/SSD54932.2022.9955696","url":null,"abstract":"Photovoltaic (PV) power systems are gradually evolving especially for stand-alone supplying. Isolated regions have found that the best solution to produce their own electricity is using PV installations associated with an energy storage system (ESS). The developed work relates to a PV installation optimal sizing according to a domestic power demand. The software input variables are the temperature, the irradiation and the loads demand. In order to obtain an adequate dimensioning additional load details are specified such as priority and time function. The aim of the study is to understand the fundamentals of the different components constituting the stand-alone photovoltaic (SAPV) installation.","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123328373","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
Optimal Fuzzy Logic Controller Using Teaching Learning Based Optimization for asynchronous motor 基于教学学习的异步电动机优化模糊控制器
2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) Pub Date : 2022-05-06 DOI: 10.1109/SSD54932.2022.9955752
Benrabah Mohamed, Kamel Kara
{"title":"Optimal Fuzzy Logic Controller Using Teaching Learning Based Optimization for asynchronous motor","authors":"Benrabah Mohamed, Kamel Kara","doi":"10.1109/SSD54932.2022.9955752","DOIUrl":"https://doi.org/10.1109/SSD54932.2022.9955752","url":null,"abstract":"In this work, a nonlinear control algorithm, based on two Fuzzy Logic Controllers (FLCs) and a meta-heuristic optimizer, is proposed. This strategy aims to control the mechanical speed of a three-phase asynchronous motor. Indeed, the control signal is generated based on two factors namely frequency and magnitude, which are calculated by the two FLCs. To obtain good control performance, the parameters of the FLCs are suitably tuned and optimized using the Teaching Learning Based Optimization (TLBO) algorithm. The TLBO is a meta-heuristic algorithm that was implemented in many engineering application and gained wide acceptance among the optimization researchers community. Furthermore, except the common meta-heuristic parameters, the TLBO does not require any algorithm specific parameters. To assess the effectiveness of the proposed control algorithm, the control of a squirrel cage induction machine is considered. A comparative study with scalar control architecture using the Particle Swarm Optimization based PID controller, is carried out. The obtained results indicate that the proposed control algorithm gives better control performance than the other controllers.","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126444119","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
Phase Retrieval: Application to Audio Signal Reconstruction 相位检索:在音频信号重建中的应用
2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) Pub Date : 2022-05-06 DOI: 10.1109/SSD54932.2022.9955795
Raja Abdelmalek Bedoui, Z. Mnasri, F. Benzarti
{"title":"Phase Retrieval: Application to Audio Signal Reconstruction","authors":"Raja Abdelmalek Bedoui, Z. Mnasri, F. Benzarti","doi":"10.1109/SSD54932.2022.9955795","DOIUrl":"https://doi.org/10.1109/SSD54932.2022.9955795","url":null,"abstract":"Theoretically, phase retrieval is an efficient method for signal reconstruction given only the magnitude spectrum of the short-term Fourier transform (STFT). This topic has recently regained popularity due to its utility in a variety of applications such as compressive sensing, speech synthesis, speech enhancement, source separation, and so on. As a result, based on an explicit relationship between STFT magnitude and phase, this paper presents an efficient algorithm for audio signal reconstruction using phase retrieval from the STFT magnitude spectrum. The standard metrics in signal reconstruction, such as time domain segmental signal-to-noise ratio (segSNR), time-frequency domain signal-to-error ratio (SER), and cepstrum-related distance measures, such as log-likelihood ratio (LLR), Itakura-Saito distorsion (IS), and cepstrum distance, are used to perform an objective evaluation. The results support the proposed approach's improvement.","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121565728","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
Nonlinear optimal control for electropneumatic actuators 电-气执行器非线性最优控制
2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) Pub Date : 2022-05-06 DOI: 10.1109/SSD54932.2022.9955789
G. Rigatos, M. Hamida, M. Abbaszadeh, P. Siano
{"title":"Nonlinear optimal control for electropneumatic actuators","authors":"G. Rigatos, M. Hamida, M. Abbaszadeh, P. Siano","doi":"10.1109/SSD54932.2022.9955789","DOIUrl":"https://doi.org/10.1109/SSD54932.2022.9955789","url":null,"abstract":"In the article's control approach, the dynamic model of the electropneumatic actuator undergoes approximate lin-earization with the use of first-order Taylor series expansion and through the computation of the associated Jacobian matrices. The linearization takes place at each sampling instance, around a temporary operating point which is defined by the present value of the actuator's state vector and by the last sampled value of the control inputs vector. For the approximately linearized model of the actuator an H-infinity stabilizing controller is designed. The feedback gains of the controller are computed through the solution of an algebraic Riccati equation, taking place at each time-step of the control method. The global stability properties of the control method are proven through Lyapunov analysis.","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122959982","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
ACO Based Optimal MIMO Sliding Mode Controller for UAV Trajectory Tracking in the Presence of Sensor Noises 基于蚁群算法的无人机轨迹跟踪最优MIMO滑模控制器
2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) Pub Date : 2022-05-06 DOI: 10.1109/SSD54932.2022.9955955
Khedidja Bouhabza, M. Guiatni, Y. Bouzid, M. Hamerlain
{"title":"ACO Based Optimal MIMO Sliding Mode Controller for UAV Trajectory Tracking in the Presence of Sensor Noises","authors":"Khedidja Bouhabza, M. Guiatni, Y. Bouzid, M. Hamerlain","doi":"10.1109/SSD54932.2022.9955955","DOIUrl":"https://doi.org/10.1109/SSD54932.2022.9955955","url":null,"abstract":"In this paper, an optimized nonlinear robust Multi-Input Multi-Output (MIMO) Sliding Mode Controller is designed to control and stabilize a Quadrotor Unmanned Aerial Vehicle (UAV) in the presence of sensor noises. To achieve asymptotic linearisation of the nonlinear differential input-output model of the Quadrotor, the proposed method employs a novel sliding surface choice. The parameters of the proposed controller have been selected using the Ant Colony Optimization (ACO) algorithm considering a performance criteria in order to achieve a trade-off between the tracking error and the consumed energy. A generalized Lyapunov approach is used to evaluate the overall system's stability, which is a canonical state space with dynamic feedback. Simulation results are provided to validate the pro-posed controller and evaluate its performance.","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123109032","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
On Smoothing the Duck Curve: A Control Perspective 平滑鸭子曲线:控制视角
2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) Pub Date : 2022-05-06 DOI: 10.1109/SSD54932.2022.9955984
Maitham F. AL-Sunni, Turki Bin Muhaya, Khaled Alshehri, Haitham H. Saleh, Abdul-Wahid A. Saif
{"title":"On Smoothing the Duck Curve: A Control Perspective","authors":"Maitham F. AL-Sunni, Turki Bin Muhaya, Khaled Alshehri, Haitham H. Saleh, Abdul-Wahid A. Saif","doi":"10.1109/SSD54932.2022.9955984","DOIUrl":"https://doi.org/10.1109/SSD54932.2022.9955984","url":null,"abstract":"The increased adoption of small-scale solar photo-voltaics (PV s) has led to drastic changes in the aggregate load profile in multiple locations, resulting in what is called the “Duck Curve.” This adds a burden on system operators and might, in fact, jeopardize real-time operations and control. In this paper, we address these issues via learning-based control and develop an online method to flatten the duck curve by optimizing standard-sized batteries. In particular, we use deep learning in conjunction with model predictive control (MPC), i.e., we forecast solar power and demand and then utilize these forecasts to optimize storage over a prediction horizon. In our approach, forecasts take into account behavioral aspects of load consumption, and we also propose an objective function that mimics the Peak-to-Average power ratio. We have conducted numerical experiments using real data, and the results are promising, demonstrating a reduction of about 67% of the Peak-to-Average power ratio.","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126878342","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
Twisting Sliding Mode Based Control of Grid Following Inverter 基于扭转滑模的电网跟随逆变器控制
2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) Pub Date : 2022-05-06 DOI: 10.1109/SSD54932.2022.9955805
Mohammed Benzoubir, M. Benmiloud, M. Bougrine, N. Gazzam, A. Benalia
{"title":"Twisting Sliding Mode Based Control of Grid Following Inverter","authors":"Mohammed Benzoubir, M. Benmiloud, M. Bougrine, N. Gazzam, A. Benalia","doi":"10.1109/SSD54932.2022.9955805","DOIUrl":"https://doi.org/10.1109/SSD54932.2022.9955805","url":null,"abstract":"Integration of renewable energy to support the grid requires power inverters. The purpose of this paper is to control a voltage source inverter in a grid-connected mode to supply high-quality power to the main grid. To achieve this goal, a Twisting Sliding Mode controller is proposed, which controls the output currents to follow their references derived from active and reactive power references while rejecting disturbances caused by the main grid voltage. A novel strategy is proposed to decouple and reduce the order of the grid-connected inverter model in the natural reference frame. Simulation results are provided to prove the performance of the proposed solution.","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114211018","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
Fault detection in wheeled mobile robot based Machine Learning 基于机器学习的轮式移动机器人故障检测
2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) Pub Date : 2022-05-06 DOI: 10.1109/SSD54932.2022.9955871
Fedia Ibrahim, B. Boussaid, M. N. Abdelkrim
{"title":"Fault detection in wheeled mobile robot based Machine Learning","authors":"Fedia Ibrahim, B. Boussaid, M. N. Abdelkrim","doi":"10.1109/SSD54932.2022.9955871","DOIUrl":"https://doi.org/10.1109/SSD54932.2022.9955871","url":null,"abstract":"Robotics gained in importance the attention of researchers nowadays in many fields, in particular monitoring and control. Deployed in harsh environments, Artificial Intelligence has shown a powerful ability to detect and diagnose faults. In this paper, a classification of defects is evaluated using different machines. learning techniques such as Random Forest (RF), Support Vector Machine (SVM), Artificial Neural Network (ANN) and Recurrent Neural network (RNN). A comparative analysis is carried out among the techniques previously mentioned on the basis of detection accuracy (DA), true Positive rate (TPR), Matthews correlation coefficients (MCC) and false alarm rate (FAR).","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121262201","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
Efficient Quantized Soft Decision for Cooperative Sensing System in Cognitive Radio 认知无线电协同感知系统的高效量化软决策
2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) Pub Date : 2022-05-06 DOI: 10.1109/SSD54932.2022.9955495
Younes Bouzegag, D. Teguig, A. Maali
{"title":"Efficient Quantized Soft Decision for Cooperative Sensing System in Cognitive Radio","authors":"Younes Bouzegag, D. Teguig, A. Maali","doi":"10.1109/SSD54932.2022.9955495","DOIUrl":"https://doi.org/10.1109/SSD54932.2022.9955495","url":null,"abstract":"In order to reduce the bandwidth requirement for reporting channel, we investigated soft and hard data combining rules in cooperative sensing system. Motivated by the detection performance of soft schemes, we further propose an improved quantized soft scheme with two-bit. Simulation findings show that the proposed method out-performs hard decision rules and approaches the detection performance of square law combining rule with reduced cooperative overhead. As a result, the introduced quantized soft scheme can achieve approximately all the benefits of soft decision combining with low complexity and control channel cost.","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121034913","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
Off-grid Photovoltaic System Power Output Medium-Term Forecasting Using Artificial Neural Network 基于人工神经网络的离网光伏系统电力输出中期预测
2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) Pub Date : 2022-05-06 DOI: 10.1109/SSD54932.2022.9955753
Muhammad Risqi Risfianda, D. K. Silalahi, Muhammad Dimas, B. S. Aprillia, Azman Hanifan
{"title":"Off-grid Photovoltaic System Power Output Medium-Term Forecasting Using Artificial Neural Network","authors":"Muhammad Risqi Risfianda, D. K. Silalahi, Muhammad Dimas, B. S. Aprillia, Azman Hanifan","doi":"10.1109/SSD54932.2022.9955753","DOIUrl":"https://doi.org/10.1109/SSD54932.2022.9955753","url":null,"abstract":"The use of fossil energy which is always increasing from year to year makes it seem as if the world cannot be separated from these energy source. Therefore, it is necessary to find new energy sources where the energy can be renewable and available for a long time. In this research, a system is designed to predict the power output of PV. This system uses solar irradiation data and the power output of an off-grid solar power plant as the dataset. The dataset obtained from the PV output will be processed using an artificial neural network (ANN) with a backpropagation algorithm. The results of this study are able to predict the medium-term PV power output using the artificial neural network method by looking at the expected error values of Mean Absolute Percentage Error (MAPE), Mean Absolute Error (MAE), Mean Square Error (MSE), and Root Mean Square Error (RMSE). Tests are carried out to predict the PV power output for the next 11 days. The ANN model architecture uses 2 hidden layers with 3 neurons in the layer, 7 neurons in the second layer, and 190 epochs. This model has an error value of 25.837% for MAPE, 0.166 for MAE, 0.043 for MSE, and 0.209 for RMSE which categorizes the model as fairly feasible on predicting the next 11 days of PV power output.","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121808367","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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