Pub Date : 2020-04-01DOI: 10.1109/IRASET48871.2020.9092153
Belkhiri Driss, S. Farhat, Kahaji Abdelilah, EL Rachid
Nowadays, the use of renewable energy including wind energy has increased dramatically. Thanks to the wind energy conversion systems which are more sophisticated, and the demand for new techniques and algorithms to improve the control of wind turbines; using modern or classical approaches. To optimize the efficiency of the wind turbine, the latter should vary its rotational speed in real-time to follow the instantaneous variation in wind speed. The paper proposes an intelligent controller which is based on advanced RBF-NN approach, for torque control of doubly fed induction generator based wind turbine during all value of wind speed. The ultimate objective is to maximize output power for this system. For this, the online training RBF regulator approximates the torque of the generator in according to maximum power of the wind turbine at a given wind speed. This method is analytically compared with optimal torque controller to demonstrate the relevance of this controller, illustrate maximum power point tracking and good accuracy. Uniform asymptotic stability of the tracking error origin, is analyzed via Lyapunov method.
{"title":"Adaptive control for variable-speed wind generation systems using advanced RBF Neural Network","authors":"Belkhiri Driss, S. Farhat, Kahaji Abdelilah, EL Rachid","doi":"10.1109/IRASET48871.2020.9092153","DOIUrl":"https://doi.org/10.1109/IRASET48871.2020.9092153","url":null,"abstract":"Nowadays, the use of renewable energy including wind energy has increased dramatically. Thanks to the wind energy conversion systems which are more sophisticated, and the demand for new techniques and algorithms to improve the control of wind turbines; using modern or classical approaches. To optimize the efficiency of the wind turbine, the latter should vary its rotational speed in real-time to follow the instantaneous variation in wind speed. The paper proposes an intelligent controller which is based on advanced RBF-NN approach, for torque control of doubly fed induction generator based wind turbine during all value of wind speed. The ultimate objective is to maximize output power for this system. For this, the online training RBF regulator approximates the torque of the generator in according to maximum power of the wind turbine at a given wind speed. This method is analytically compared with optimal torque controller to demonstrate the relevance of this controller, illustrate maximum power point tracking and good accuracy. Uniform asymptotic stability of the tracking error origin, is analyzed via Lyapunov method.","PeriodicalId":271840,"journal":{"name":"2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124913162","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 : 2020-04-01DOI: 10.1109/IRASET48871.2020.9092192
I. Khriss, A. Jakimi, Hamza Abdelmalek
Several studies have raised the issue of the adoption of model-driven engineering (MDE) in industry. We can find there, for example, the lack of mature tools and the lack of employee training. In this paper, we present a summary of 20 years of experience in MDE and how our vision has evolved through all these years. We present our view of an effective approach for a better application of MDE which answers to some of the issues raised. This approach is supported by a set of integrated tools that facilitate not only the learning of MDE but also its implementation. We also discuss some of the results of adopting this approach in university software engineering courses and its use in real software development projects.
{"title":"Towards an Effective Implementation of a Model-Driven Engineering Approach for Software Development","authors":"I. Khriss, A. Jakimi, Hamza Abdelmalek","doi":"10.1109/IRASET48871.2020.9092192","DOIUrl":"https://doi.org/10.1109/IRASET48871.2020.9092192","url":null,"abstract":"Several studies have raised the issue of the adoption of model-driven engineering (MDE) in industry. We can find there, for example, the lack of mature tools and the lack of employee training. In this paper, we present a summary of 20 years of experience in MDE and how our vision has evolved through all these years. We present our view of an effective approach for a better application of MDE which answers to some of the issues raised. This approach is supported by a set of integrated tools that facilitate not only the learning of MDE but also its implementation. We also discuss some of the results of adopting this approach in university software engineering courses and its use in real software development projects.","PeriodicalId":271840,"journal":{"name":"2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121686655","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 : 2020-04-01DOI: 10.1109/IRASET48871.2020.9092005
A. Es-saqy, Maryam Abata, S. Mazer, M. Fattah, M. Mehdi, M. Bekkali, C. Algani
A customized structure of the Colpitts VCO for the 5G millimeter band is presented in this paper, this structure has a very low phase noise level compared to other structures published in the literature. Simulation results show that our VCO has a tuning range of 1.69 GHz around 28 GHz, an output power of 3.3 dBm and a phase noise around -123.2dBc/Hz at 1 MHz offset frequency from carrier. The VCO is designed in MMIC technology using the pHEMT transistor of PH15 process from UMS foundry.
{"title":"Very Low Phase Noise Voltage Controlled Oscillator for 5G mm-wave Communication Systems","authors":"A. Es-saqy, Maryam Abata, S. Mazer, M. Fattah, M. Mehdi, M. Bekkali, C. Algani","doi":"10.1109/IRASET48871.2020.9092005","DOIUrl":"https://doi.org/10.1109/IRASET48871.2020.9092005","url":null,"abstract":"A customized structure of the Colpitts VCO for the 5G millimeter band is presented in this paper, this structure has a very low phase noise level compared to other structures published in the literature. Simulation results show that our VCO has a tuning range of 1.69 GHz around 28 GHz, an output power of 3.3 dBm and a phase noise around -123.2dBc/Hz at 1 MHz offset frequency from carrier. The VCO is designed in MMIC technology using the pHEMT transistor of PH15 process from UMS foundry.","PeriodicalId":271840,"journal":{"name":"2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116743717","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 : 2020-04-01DOI: 10.1109/IRASET48871.2020.9092015
Halima Housny, E. Chater, H. E. Fadil
This paper presents an application of particle swarm optimization algorithm (PSO) to tune the scaling gains of Adaptive Neuro-Fuzzy Inference System (ANFIS) controller with a multi-closed loop control applied to nonlinear quadrotor system. First, PID control approach is used to obtain the training data set that is necessary to ANFIS design. Precisely, only the error and the error rate inputs in addition to output are used in training data set vector. Afterwards, an adaptive Neuro-Fuzzy inference system controller is designed. Then, to tune the scaling gains associated with ANFIS controller, PSO algorithm is used. Finally, an integral control action is added to the ANFIS controller output for controlling each state of the MIMO quadrotor system. The simulation test show that the results obtained with ANFIS-PSO controller are better, when compared to those obtained using conventional ANFIS controller and traditional PID.
{"title":"PSO-based ANFIS for quadrotor system trajectory-tracking control","authors":"Halima Housny, E. Chater, H. E. Fadil","doi":"10.1109/IRASET48871.2020.9092015","DOIUrl":"https://doi.org/10.1109/IRASET48871.2020.9092015","url":null,"abstract":"This paper presents an application of particle swarm optimization algorithm (PSO) to tune the scaling gains of Adaptive Neuro-Fuzzy Inference System (ANFIS) controller with a multi-closed loop control applied to nonlinear quadrotor system. First, PID control approach is used to obtain the training data set that is necessary to ANFIS design. Precisely, only the error and the error rate inputs in addition to output are used in training data set vector. Afterwards, an adaptive Neuro-Fuzzy inference system controller is designed. Then, to tune the scaling gains associated with ANFIS controller, PSO algorithm is used. Finally, an integral control action is added to the ANFIS controller output for controlling each state of the MIMO quadrotor system. The simulation test show that the results obtained with ANFIS-PSO controller are better, when compared to those obtained using conventional ANFIS controller and traditional PID.","PeriodicalId":271840,"journal":{"name":"2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121874976","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 : 2020-04-01DOI: 10.1109/IRASET48871.2020.9092319
Yahya Aljarhizi, E. A. Ibrahmi, A. Mesbahi, A. Hassoune, M. Khafallah
This work presents a performance study of static power converters (SPC) for a self-excited induction generator (SEIG) driven by a wind turbine emulator (WTE). The WTE consists of an induction motor (IM) tied to an electrical grid via a variable speed drive (VSD) controlled by a wind turbine model block. The SPC control is based on regulation of the inductance current and the output voltage. However, the overall control design is modeled on Matlab/Simulink through block diagrams in which power and control stages are designed separately. A given wind profile scenario is proposed in order to evaluate the performance of the control strategies of the SPC with the WTE.
{"title":"Static Power Converters for a Wind Turbine Emulator Driving a Self-Excited Induction Generator","authors":"Yahya Aljarhizi, E. A. Ibrahmi, A. Mesbahi, A. Hassoune, M. Khafallah","doi":"10.1109/IRASET48871.2020.9092319","DOIUrl":"https://doi.org/10.1109/IRASET48871.2020.9092319","url":null,"abstract":"This work presents a performance study of static power converters (SPC) for a self-excited induction generator (SEIG) driven by a wind turbine emulator (WTE). The WTE consists of an induction motor (IM) tied to an electrical grid via a variable speed drive (VSD) controlled by a wind turbine model block. The SPC control is based on regulation of the inductance current and the output voltage. However, the overall control design is modeled on Matlab/Simulink through block diagrams in which power and control stages are designed separately. A given wind profile scenario is proposed in order to evaluate the performance of the control strategies of the SPC with the WTE.","PeriodicalId":271840,"journal":{"name":"2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125593401","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 : 2020-04-01DOI: 10.1109/IRASET48871.2020.9092304
Hind Bourezk, Amine Raji, Nawfal Acha, Hafid Barka
Behavioral Finance studies demonstrated over the last decade that stock market can be driven by emotions for market participants. On the other hand, online sentiment tracking over social media network and news showed promising results in predicting financial markets. Hence, measuring investor sentiment has become a key research issue in financial predictions. In this paper, we present our methodology for collecting, analyzing and inferring sentiments from several information sources regarding Casablanca Stock Exchange Market. With this data we apply sentiment analysis and machine learning algorithms to infer the relationship between the general public view regarding a stock and its evolution within the stock market.
{"title":"Analyzing Moroccan Stock Market using Machine Learning and Sentiment Analysis","authors":"Hind Bourezk, Amine Raji, Nawfal Acha, Hafid Barka","doi":"10.1109/IRASET48871.2020.9092304","DOIUrl":"https://doi.org/10.1109/IRASET48871.2020.9092304","url":null,"abstract":"Behavioral Finance studies demonstrated over the last decade that stock market can be driven by emotions for market participants. On the other hand, online sentiment tracking over social media network and news showed promising results in predicting financial markets. Hence, measuring investor sentiment has become a key research issue in financial predictions. In this paper, we present our methodology for collecting, analyzing and inferring sentiments from several information sources regarding Casablanca Stock Exchange Market. With this data we apply sentiment analysis and machine learning algorithms to infer the relationship between the general public view regarding a stock and its evolution within the stock market.","PeriodicalId":271840,"journal":{"name":"2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131646186","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 : 2020-04-01DOI: 10.1109/IRASET48871.2020.9092002
Moufid Ismail, Elmarkhi Hassane, El Moussaoui Hassan, Lamhamdi Tijani
Soft Open Point (SOP) is a type of power electronic component used for reconfiguration of network distribution, which can replace the traditional switches or Normally Open Point (NOP). This article suggests an adaptive distribution network strategy that works with and without SOP to reduce power losses. To investigate the performance of our proposed system a distribution network constituted of two feeders and six loads was performed using Matlab/Simulink and Power System Analysis Toolbox (PSAT). The simulation results shown in this paper improve that the use of SOP reduces greatly the power losses in the distribution network.
{"title":"Power Losses Minimization in Distribution System Using Soft Open Point","authors":"Moufid Ismail, Elmarkhi Hassane, El Moussaoui Hassan, Lamhamdi Tijani","doi":"10.1109/IRASET48871.2020.9092002","DOIUrl":"https://doi.org/10.1109/IRASET48871.2020.9092002","url":null,"abstract":"Soft Open Point (SOP) is a type of power electronic component used for reconfiguration of network distribution, which can replace the traditional switches or Normally Open Point (NOP). This article suggests an adaptive distribution network strategy that works with and without SOP to reduce power losses. To investigate the performance of our proposed system a distribution network constituted of two feeders and six loads was performed using Matlab/Simulink and Power System Analysis Toolbox (PSAT). The simulation results shown in this paper improve that the use of SOP reduces greatly the power losses in the distribution network.","PeriodicalId":271840,"journal":{"name":"2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133906647","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 : 2020-04-01DOI: 10.1109/IRASET48871.2020.9092108
Anass El Karkri, Z. Malki, M. Bouachrine, F. Serein-Spirau, J. Sotiropoulos
In this study, the analysis of microelectronic and photonic structure in one dimension program [AMPS-1D] has been successfully used to study organic solar cells. The program was used to optimize the performance of the organic solar cells based on (Carbazole-Methylthiophene), benzothiadiazole, Thiophene [(Cbz-Mth)-B-T]2 and [6, 6] -phenyl-C61-butyric acid methyl ester (PCBM). The cells considered, consist of Carbazole-Methylthiophene-Thiophene as electron donors, and benzothiadiazole, (6,6)-phenyl-c61-butyric acid methyl ester [PCBM] as electron acceptor. [(Cbz-Mth) -BT]2-PCBM] is used as photo active material, sandwiched between a transparent indium tin oxide (ITO) and an Al backside contact. The optoelectronic properties of these dyes were investigated by using the Density Functional Theory DFT/B3LYP/6-31G (d, p) method. We studied the influence of the variation of the thickness of the active layer, the temperature and the density of the effective states of the electrons and the holes in the conduction and valence bands respectively on the performance of the solar cells. The results were compared with the experimental data, it showed that the optimum thickness of the solar cell is about 120 nm, the maximum efficiency for the studied organic solar cell is about 9.458 % and the open circuit voltage decreases with temperature.
{"title":"Optimization and Simulation of the photovoltaic properties of modified Donor-Acceptor Conjugated Oligomers for Organic Solar Cells","authors":"Anass El Karkri, Z. Malki, M. Bouachrine, F. Serein-Spirau, J. Sotiropoulos","doi":"10.1109/IRASET48871.2020.9092108","DOIUrl":"https://doi.org/10.1109/IRASET48871.2020.9092108","url":null,"abstract":"In this study, the analysis of microelectronic and photonic structure in one dimension program [AMPS-1D] has been successfully used to study organic solar cells. The program was used to optimize the performance of the organic solar cells based on (Carbazole-Methylthiophene), benzothiadiazole, Thiophene [(Cbz-Mth)-B-T]2 and [6, 6] -phenyl-C61-butyric acid methyl ester (PCBM). The cells considered, consist of Carbazole-Methylthiophene-Thiophene as electron donors, and benzothiadiazole, (6,6)-phenyl-c61-butyric acid methyl ester [PCBM] as electron acceptor. [(Cbz-Mth) -BT]2-PCBM] is used as photo active material, sandwiched between a transparent indium tin oxide (ITO) and an Al backside contact. The optoelectronic properties of these dyes were investigated by using the Density Functional Theory DFT/B3LYP/6-31G (d, p) method. We studied the influence of the variation of the thickness of the active layer, the temperature and the density of the effective states of the electrons and the holes in the conduction and valence bands respectively on the performance of the solar cells. The results were compared with the experimental data, it showed that the optimum thickness of the solar cell is about 120 nm, the maximum efficiency for the studied organic solar cell is about 9.458 % and the open circuit voltage decreases with temperature.","PeriodicalId":271840,"journal":{"name":"2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134013042","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 : 2020-04-01DOI: 10.1109/IRASET48871.2020.9092143
A. Mesbahi, Yahya Aljarhizi, A. Hassoune, M. Khafallah, E. Alibrahmi
this paper presents an implementation of a Wind Energy Conversion System based on a Permanent Magnet synchronous Generator. The turbine is emulated by a Permanent Magnet Direct Current Motor. The electricity produced is converted to continuous wave form through a Boost Converter. The control maintaining constant the voltage at the terminal, load is based on classical PI controller. The hardware setup is modeled and simulated using MATLAB/SIMULINK. Experimental rig using Permanent Magnet Direct Current Motor –Permanent Magnet synchronous Generator is used for validation.
{"title":"Boost Converter implementation for Wind Generation System based on a variable speed PMSG","authors":"A. Mesbahi, Yahya Aljarhizi, A. Hassoune, M. Khafallah, E. Alibrahmi","doi":"10.1109/IRASET48871.2020.9092143","DOIUrl":"https://doi.org/10.1109/IRASET48871.2020.9092143","url":null,"abstract":"this paper presents an implementation of a Wind Energy Conversion System based on a Permanent Magnet synchronous Generator. The turbine is emulated by a Permanent Magnet Direct Current Motor. The electricity produced is converted to continuous wave form through a Boost Converter. The control maintaining constant the voltage at the terminal, load is based on classical PI controller. The hardware setup is modeled and simulated using MATLAB/SIMULINK. Experimental rig using Permanent Magnet Direct Current Motor –Permanent Magnet synchronous Generator is used for validation.","PeriodicalId":271840,"journal":{"name":"2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130319467","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 : 2020-04-01DOI: 10.1109/IRASET48871.2020.9092096
Ben Meziane Khaddouj, Dib Faiza, I. Boumhidi
A design of the sliding mode controller (SMC) combined with the type-2 fuzzy power system stabilizer is developed in this paper in order to guarantee the power system stability in the different operation conditions. The type-2 fuzzy logic controller is designed to obtain the optimal power system stabilizer (PSS) in the presence of uncertainties. The main advantage of type-2 fuzzy logic over type-1 fuzzy logic is its ability to take linguistic and numerical uncertainties into account. The objective of combining the sliding mode control and the type-2 fuzzy PSS is to handle the fluctuations in the system parameters by adjusting the control parameters which improves the stability and the dynamic response. The results of simulation exhibit the validity of the developed approach with a fault conditions for a Single Machine Infinite Bus (SMIB) power system which the tracking performance is achieved with less oscillations.
{"title":"Design of Type-2 Fuzzy PSS combined with Sliding Mode Control for Power System SMIB","authors":"Ben Meziane Khaddouj, Dib Faiza, I. Boumhidi","doi":"10.1109/IRASET48871.2020.9092096","DOIUrl":"https://doi.org/10.1109/IRASET48871.2020.9092096","url":null,"abstract":"A design of the sliding mode controller (SMC) combined with the type-2 fuzzy power system stabilizer is developed in this paper in order to guarantee the power system stability in the different operation conditions. The type-2 fuzzy logic controller is designed to obtain the optimal power system stabilizer (PSS) in the presence of uncertainties. The main advantage of type-2 fuzzy logic over type-1 fuzzy logic is its ability to take linguistic and numerical uncertainties into account. The objective of combining the sliding mode control and the type-2 fuzzy PSS is to handle the fluctuations in the system parameters by adjusting the control parameters which improves the stability and the dynamic response. The results of simulation exhibit the validity of the developed approach with a fault conditions for a Single Machine Infinite Bus (SMIB) power system which the tracking performance is achieved with less oscillations.","PeriodicalId":271840,"journal":{"name":"2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122317792","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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