Pub Date : 2018-03-31DOI: 10.15866/ireaco.v11i2.13559
Fernando Fernando, Suharjito Suharjito, Melki Sadekh Mansuan
The disaster recovery model has been considered as an appropriate solution in providing data backup if a disaster occurs especially in data center. However, selecting the required disaster recovery model based on functionality or usability, and the financial budget in manufacturing industry is not easy. It requires a method that can be used for technology selection. Top management has options for making decisions based on subjective assessments to select the appropriate disaster recovery model. An information systems typically support decision making process by offering the best alternative solutions. Multi Criteria Decision Making approach using Analytic Hierarchy Process method is proposed to support the decision support system.Results of this study are to provide a model of disaster recovery that can be chosen appropriately in accordance with desired criteria.
{"title":"Disaster Recovery Planning Model in Manufacturing Company Using Multi Criteria Decision Making","authors":"Fernando Fernando, Suharjito Suharjito, Melki Sadekh Mansuan","doi":"10.15866/ireaco.v11i2.13559","DOIUrl":"https://doi.org/10.15866/ireaco.v11i2.13559","url":null,"abstract":"The disaster recovery model has been considered as an appropriate solution in providing data backup if a disaster occurs especially in data center. However, selecting the required disaster recovery model based on functionality or usability, and the financial budget in manufacturing industry is not easy. It requires a method that can be used for technology selection. Top management has options for making decisions based on subjective assessments to select the appropriate disaster recovery model. An information systems typically support decision making process by offering the best alternative solutions. Multi Criteria Decision Making approach using Analytic Hierarchy Process method is proposed to support the decision support system.Results of this study are to provide a model of disaster recovery that can be chosen appropriately in accordance with desired criteria.","PeriodicalId":38433,"journal":{"name":"International Review of Automatic Control","volume":"11 1","pages":"68-76"},"PeriodicalIF":0.0,"publicationDate":"2018-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67286761","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 : 2018-03-31DOI: 10.15866/IREACO.V11I2.13489
H. Ladaycia, A. Boukadoum, M. Mordjaoui
{"title":"Firefly Algorithm Optimization of High Efficiency Induction Machine Using Inverse Problem","authors":"H. Ladaycia, A. Boukadoum, M. Mordjaoui","doi":"10.15866/IREACO.V11I2.13489","DOIUrl":"https://doi.org/10.15866/IREACO.V11I2.13489","url":null,"abstract":"","PeriodicalId":38433,"journal":{"name":"International Review of Automatic Control","volume":"11 1","pages":"59"},"PeriodicalIF":0.0,"publicationDate":"2018-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42121636","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 : 2018-03-31DOI: 10.15866/IREACO.V11I2.13897
D. Puangdownreong
Control synthesis is now considered as one of the optimization problems, which can be successfully and completely solved by efficient metaheuristic optimization techniques called “metaheuristics”. This article proposes a novel spiritual search (SS) metaheuristic algorithm-based approach for control engineering optimization. The proposed SS is conceptualized by the spiritual concentration according to the Buddhist principles. In the SS algorithm, single solution-based (trajectory-based) and population-based approaches are combined to balance the advantages of exploration and exploitation properties. To perform its effectiveness, the SS is tested against eight standard test functions and compared with the tabu search (TS) as one of the most powerful solution-based metaheuristics and the cuckoo search (CS) as one of the most efficient population-based metaheuristics. As results, the SS can provide better solutions with higher solution-found rates and shorter search-time consumed than TS and CS, respectively. Various control engineering problems, including model identification of DC motor, PID controller design and PIDA controller design, are optimized in order to demonstrate the effectiveness and robustness of the SS algorithm. Obtained results indicate that the proposed SS algorithm is a powerful optimization technique that can provide very satisfactory solutions within very short search-time consumed.
{"title":"Spiritual Search: a Novel Metaheuristic Algorithm for Control Engineering Optimization","authors":"D. Puangdownreong","doi":"10.15866/IREACO.V11I2.13897","DOIUrl":"https://doi.org/10.15866/IREACO.V11I2.13897","url":null,"abstract":"Control synthesis is now considered as one of the optimization problems, which can be successfully and completely solved by efficient metaheuristic optimization techniques called “metaheuristics”. This article proposes a novel spiritual search (SS) metaheuristic algorithm-based approach for control engineering optimization. The proposed SS is conceptualized by the spiritual concentration according to the Buddhist principles. In the SS algorithm, single solution-based (trajectory-based) and population-based approaches are combined to balance the advantages of exploration and exploitation properties. To perform its effectiveness, the SS is tested against eight standard test functions and compared with the tabu search (TS) as one of the most powerful solution-based metaheuristics and the cuckoo search (CS) as one of the most efficient population-based metaheuristics. As results, the SS can provide better solutions with higher solution-found rates and shorter search-time consumed than TS and CS, respectively. Various control engineering problems, including model identification of DC motor, PID controller design and PIDA controller design, are optimized in order to demonstrate the effectiveness and robustness of the SS algorithm. Obtained results indicate that the proposed SS algorithm is a powerful optimization technique that can provide very satisfactory solutions within very short search-time consumed.","PeriodicalId":38433,"journal":{"name":"International Review of Automatic Control","volume":"11 1","pages":"86-97"},"PeriodicalIF":0.0,"publicationDate":"2018-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45361541","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 : 2018-01-31DOI: 10.15866/IREACO.V11I1.13379
J. Arenas, Robinson Jimenez Moreno, Ruben Darío Hernández Beleño
This paper presents the implementation of a versatile MATLAB application focused on acquiring, visualizing and storing the electromyographic (EMG) signals read by the sensors of the Myo Armband device, where it is possible to perform signal processing by means of a predetermined function by the user, in order to be able to build databases of both raw and processed EMG signals. It also includes an option to perform real-time tests of convolutional neural networks that have been trained with the acquired databases. To test the application, it is presented a basic example of acquisition and processing of the acquired signals for the recognition of 2 hand gestures, using Power Spectral Density as feature extraction function, and with the feature maps obtained through the extraction, the training of a convolutional neural network is performed, getting a 95% accuracy of recognition, and additionally, the validation is performed through real-time tests within the application, demonstrating the usefulness and performance of the developed application.
{"title":"EMG Signal Acquisition and Processing Application with CNN Testing for MATLAB","authors":"J. Arenas, Robinson Jimenez Moreno, Ruben Darío Hernández Beleño","doi":"10.15866/IREACO.V11I1.13379","DOIUrl":"https://doi.org/10.15866/IREACO.V11I1.13379","url":null,"abstract":"This paper presents the implementation of a versatile MATLAB application focused on acquiring, visualizing and storing the electromyographic (EMG) signals read by the sensors of the Myo Armband device, where it is possible to perform signal processing by means of a predetermined function by the user, in order to be able to build databases of both raw and processed EMG signals. It also includes an option to perform real-time tests of convolutional neural networks that have been trained with the acquired databases. To test the application, it is presented a basic example of acquisition and processing of the acquired signals for the recognition of 2 hand gestures, using Power Spectral Density as feature extraction function, and with the feature maps obtained through the extraction, the training of a convolutional neural network is performed, getting a 95% accuracy of recognition, and additionally, the validation is performed through real-time tests within the application, demonstrating the usefulness and performance of the developed application.","PeriodicalId":38433,"journal":{"name":"International Review of Automatic Control","volume":"11 1","pages":"44-51"},"PeriodicalIF":0.0,"publicationDate":"2018-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46234882","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 : 2018-01-31DOI: 10.15866/ireaco.v11i1.14425
Nassira Medjadji, A. Chaker, D. Medjahed
Our work is oriented to improve the quality of observation and estimating speed of rotation of the asynchronous machine. This study is designed to cope with problems related to parametric variation, non-measurability of flux, coupling between flux and torque, and observation of speed. The precise determination of these quantities, which we have concentrated in our work, has contributed to the improvement of the quality of control and observation of the asynchronous machine. Furthermore, the current study will be devoted to present an oriented rotor flow control of induction machine fitted with MRAS and FUZZY-MRAS sensor, a speed estimator based on the MRAS technique whose estimation mechanism is provided by fuzzy logic. The experimental results obtained will be demonstrated to show the feasibility and effectiveness of such an estimator through a comparison in order to illustrate the performance at low speed, load torque and reverse direction of rotation. Thus, with a simple comparison between observed and measured currents, we can get the necessary information to evaluate the error speed. Then, a regulator is applied to minimize the errors that are found. As a matter of fact, this regulator serves as an adaptation mechanism; it is noted that the FUZZY-MRAS observer is stable at high and low frequency and converge asymptotically at high frequency. It is also robust to an application of a load torque and also to the reverse direction of rotation.
{"title":"Quality Improvement of Speed Estimation in Induction Motor Drive by Using Fuzzy-MRAS Observer with Experimental Investigation","authors":"Nassira Medjadji, A. Chaker, D. Medjahed","doi":"10.15866/ireaco.v11i1.14425","DOIUrl":"https://doi.org/10.15866/ireaco.v11i1.14425","url":null,"abstract":"Our work is oriented to improve the quality of observation and estimating speed of rotation of the asynchronous machine. This study is designed to cope with problems related to parametric variation, non-measurability of flux, coupling between flux and torque, and observation of speed. The precise determination of these quantities, which we have concentrated in our work, has contributed to the improvement of the quality of control and observation of the asynchronous machine. Furthermore, the current study will be devoted to present an oriented rotor flow control of induction machine fitted with MRAS and FUZZY-MRAS sensor, a speed estimator based on the MRAS technique whose estimation mechanism is provided by fuzzy logic. The experimental results obtained will be demonstrated to show the feasibility and effectiveness of such an estimator through a comparison in order to illustrate the performance at low speed, load torque and reverse direction of rotation. Thus, with a simple comparison between observed and measured currents, we can get the necessary information to evaluate the error speed. Then, a regulator is applied to minimize the errors that are found. As a matter of fact, this regulator serves as an adaptation mechanism; it is noted that the FUZZY-MRAS observer is stable at high and low frequency and converge asymptotically at high frequency. It is also robust to an application of a load torque and also to the reverse direction of rotation.","PeriodicalId":38433,"journal":{"name":"International Review of Automatic Control","volume":"11 1","pages":"52-58"},"PeriodicalIF":0.0,"publicationDate":"2018-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67286755","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 : 2018-01-31DOI: 10.15866/IREACO.V11I1.13501
Khaled Azouzi, A. H. Boudinar, A. Bendiabdellah
This paper presents a study on the bearing faults detection of the induction motor by a new parametric approach using the stator current signal. This technique is based on two estimators. The first extracts the faults frequencies by the singular value decomposition of the covariance matrix of the stator phase current, the second is the Kalman filter; it estimates the extent of the faults. Indeed, the main advantage of this approach is its very good frequency resolution for a very short acquisition time, something impossible to achieve with the conventional method. Moreover, in order to reduce the important computation time performed by this approach, the proposed solution consists in applying this approach only on the frequency band where the fault signature is likely to appear. Experimental results show the effectiveness of the RM method to incipient bearing fault detection.
{"title":"Detection of Bearing Faults in Induction Motor by a Combined Approach SVD-Kalman Filter","authors":"Khaled Azouzi, A. H. Boudinar, A. Bendiabdellah","doi":"10.15866/IREACO.V11I1.13501","DOIUrl":"https://doi.org/10.15866/IREACO.V11I1.13501","url":null,"abstract":"This paper presents a study on the bearing faults detection of the induction motor by a new parametric approach using the stator current signal. This technique is based on two estimators. The first extracts the faults frequencies by the singular value decomposition of the covariance matrix of the stator phase current, the second is the Kalman filter; it estimates the extent of the faults. Indeed, the main advantage of this approach is its very good frequency resolution for a very short acquisition time, something impossible to achieve with the conventional method. Moreover, in order to reduce the important computation time performed by this approach, the proposed solution consists in applying this approach only on the frequency band where the fault signature is likely to appear. Experimental results show the effectiveness of the RM method to incipient bearing fault detection.","PeriodicalId":38433,"journal":{"name":"International Review of Automatic Control","volume":"11 1","pages":"14-22"},"PeriodicalIF":0.0,"publicationDate":"2018-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48055509","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 : 2018-01-31DOI: 10.15866/IREACO.V11I1.12941
Narayan Nahak, Sankalpa Bohidar, R. Mallick
{"title":"Investigation of UPFC Based Damping Controller Parameter for Power Oscillation Damping by Grey-Wolf Optimizer with Time Delay for Multi Machine System","authors":"Narayan Nahak, Sankalpa Bohidar, R. Mallick","doi":"10.15866/IREACO.V11I1.12941","DOIUrl":"https://doi.org/10.15866/IREACO.V11I1.12941","url":null,"abstract":"","PeriodicalId":38433,"journal":{"name":"International Review of Automatic Control","volume":"11 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2018-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45279571","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 : 2018-01-31DOI: 10.15866/IREACO.V11I1.13996
M. Ababneh, Hani Sha'ban, Ammar AlShater, Bayan AbuHamdan, Mohammad Alkafaween, Saif AlMansour
This paper presents a new and an effective sensing and actuating approach to control a mobile robotic arm using gestures and body postures. This makes human-machine interaction and sensing more receptive and intuitive for the user. Programming robots to perform human-like tasks can be hard and time consuming. However, controlling a robot by gestures and body postures is a simple method that offers a simpler and direct approach to perform these human-like tasks. Therefore, the overall goal of this paper is to design and implement a mobile robotic arm that is commanded by human gestures, which are captured by a skeletal motion sensing device and processed through a digital controller to manage the movement of the mobile robotic arm. A complete system with integrated hardware and software subsystems were designed, constructed, and tested.
{"title":"Design of a Gesture Controlled Mobile Robotic Arm","authors":"M. Ababneh, Hani Sha'ban, Ammar AlShater, Bayan AbuHamdan, Mohammad Alkafaween, Saif AlMansour","doi":"10.15866/IREACO.V11I1.13996","DOIUrl":"https://doi.org/10.15866/IREACO.V11I1.13996","url":null,"abstract":"This paper presents a new and an effective sensing and actuating approach to control a mobile robotic arm using gestures and body postures. This makes human-machine interaction and sensing more receptive and intuitive for the user. Programming robots to perform human-like tasks can be hard and time consuming. However, controlling a robot by gestures and body postures is a simple method that offers a simpler and direct approach to perform these human-like tasks. Therefore, the overall goal of this paper is to design and implement a mobile robotic arm that is commanded by human gestures, which are captured by a skeletal motion sensing device and processed through a digital controller to manage the movement of the mobile robotic arm. A complete system with integrated hardware and software subsystems were designed, constructed, and tested.","PeriodicalId":38433,"journal":{"name":"International Review of Automatic Control","volume":"11 1","pages":"36-43"},"PeriodicalIF":0.0,"publicationDate":"2018-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45980986","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 : 2018-01-31DOI: 10.15866/IREACO.V11I1.13275
R. Fareh, M. Bettayeb, M. Rahman
This paper proposes a fractional-order controller for serial link manipulator to track desired trajectories in the joint space. The proposed control strategy consists of two main parts. First, a PID fractionional controller is developed using five parameters. By adding the extra degrees of freedom, the fractional order controller can achieve better control performance than the conventional PID controller. In contrast of the first part of the proposed controller which depends on the error between the desired and real values, the second part depends on the robot dynamics. This proposed control law guarantees the global asymptotic stability of the tracking errors. This global stability is proved using Lyapunov theory. The control strategy is tested ona 2 DOF robot manipulator. Simulation results and the comparison with the computed torque approach show the effectiveness of the approach with good tracking performance.
{"title":"Control of Serial Link Manipulator Using a Fractional Order Controller","authors":"R. Fareh, M. Bettayeb, M. Rahman","doi":"10.15866/IREACO.V11I1.13275","DOIUrl":"https://doi.org/10.15866/IREACO.V11I1.13275","url":null,"abstract":"This paper proposes a fractional-order controller for serial link manipulator to track desired trajectories in the joint space. The proposed control strategy consists of two main parts. First, a PID fractionional controller is developed using five parameters. By adding the extra degrees of freedom, the fractional order controller can achieve better control performance than the conventional PID controller. In contrast of the first part of the proposed controller which depends on the error between the desired and real values, the second part depends on the robot dynamics. This proposed control law guarantees the global asymptotic stability of the tracking errors. This global stability is proved using Lyapunov theory. The control strategy is tested ona 2 DOF robot manipulator. Simulation results and the comparison with the computed torque approach show the effectiveness of the approach with good tracking performance.","PeriodicalId":38433,"journal":{"name":"International Review of Automatic Control","volume":"11 1","pages":"29-35"},"PeriodicalIF":0.0,"publicationDate":"2018-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43020016","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 : 2018-01-31DOI: 10.15866/IREACO.V11I1.13531
N. Usha, P. Prasad, K. R. Reddy
{"title":"Analysis of Effects of Input Current Sub Harmonics and Inter Harmonics on Induction Motor Drive","authors":"N. Usha, P. Prasad, K. R. Reddy","doi":"10.15866/IREACO.V11I1.13531","DOIUrl":"https://doi.org/10.15866/IREACO.V11I1.13531","url":null,"abstract":"","PeriodicalId":38433,"journal":{"name":"International Review of Automatic Control","volume":"11 1","pages":"23"},"PeriodicalIF":0.0,"publicationDate":"2018-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48599937","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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