{"title":"Fuzzy Observer-controller Design in Finite Frequency Domain: Application to Wind Turbine","authors":"Kaoutar Lahmadi","doi":"10.5875/AUSMT.V10I1.2159","DOIUrl":"https://doi.org/10.5875/AUSMT.V10I1.2159","url":null,"abstract":"This work presents the generalized Kalman Yakubovich-Popuv (gKYP) combined with the Takagi Sugeno (T-S) fuzzy model to design a fuzzy robust state feedback controller and a fuzzy robust observer-based in finite frequency (FF) domain. T-S fuzzy model is well known for its efficiency to control complex nonlinear systems. However, for wind generator system, the unknown parts are large and produce disturbances parameters. In order to attenuate, the level of the disturbances parameters observer based is utilized to estimate the unknown parts of the wind system. The control design method is based on Lyapunov function, the generalized gKYP with projection lemma, a PDC (Parallel Distributed Compensation) structure and the finite frequency (FF) technique. The proposed approach is formulated linear matrix inequalities (LMIs) to prove the asymptotic stability in (FF) domain. Finally, an example of wind turbine is show the validity of the proposed new approach.","PeriodicalId":38109,"journal":{"name":"International Journal of Automation and Smart Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47984712","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}
Sujita Jiwangkura, Peraphon Sophatsathit, A. Chandrachai
{"title":"Industrial Internet of Things Implementation Strategies with HCI for SME Adoption","authors":"Sujita Jiwangkura, Peraphon Sophatsathit, A. Chandrachai","doi":"10.5875/AUSMT.V10I1.2108","DOIUrl":"https://doi.org/10.5875/AUSMT.V10I1.2108","url":null,"abstract":"Industrial Internet of Things (IIoT) is changing the future world and making a big impact on every company. SMEs are too small to have their own R&D. They may be left behind from the digital disruption age. Academic researches that describe the IIoT implementation strategies with Human Computer Interaction (HCI) for SMEs and adoption items of the strategies are rarely known. The paper reveals the IIoT implementation strategies with new HCI for SMEs in multi-dimensional facets. Analyses of IIoT implementation drivers, strategies, capabilities, and benefits on 30 articles from leading publishers such as Elsevier and Springer in the last 7 years are compared. Furthermore, the adoption items of IIoT implementation strategies are developed and quantitatively analyzed from 325 respondents of leading industries in Thailand manufacturing sector based on Technology, Organization, and Environment (TOE) adoption framework. The findings show that the 4 significant adoption items are lightweight flexibility, non-monotonous task of new HCI, top management’s real-time decision making, and market opportunity. These results permit better understanding of how SMEs can learn from the analyzed IIoT implementation strategies with HCI and the analyzed significant adoption items in order to adopt IIoT for their business empowerment, thereby maximizing the IIoT value.","PeriodicalId":38109,"journal":{"name":"International Journal of Automation and Smart Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48756700","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}
{"title":"A New Diagnosis Approach of Hybrid Systems through Observers and Hybrid Automata","authors":"A. Abboudi, F. Belmajdoub","doi":"10.5875/AUSMT.V10I1.2169","DOIUrl":"https://doi.org/10.5875/AUSMT.V10I1.2169","url":null,"abstract":"This paper gives a new approach of fault detection and isolation of hybrid dynamical systems based on hybrid observers and hybrid automata; a methodology for the design of dynamical observers has been proposed. The hybrid observer composed of two blocks: a location observer that identifies the current mode and a continuous observer that detects faults. Although this approach is interesting, it is still unable to detect instantly the change of the continuous state; as a result and in case of a fault, the system can't identify correctly the defected mode. In this paper, a new version is proposed to improve this approach and reach good diagnosis results.","PeriodicalId":38109,"journal":{"name":"International Journal of Automation and Smart Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44246891","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}
{"title":"Neural Networks Model to Detect Wind Turbine Dynamics","authors":"G. Iannace, Giuseppe Ciaburro, A. Trematerra","doi":"10.5875/ausmt.v10i1.2225","DOIUrl":"https://doi.org/10.5875/ausmt.v10i1.2225","url":null,"abstract":": The wind has been a source of energy for the human being since ancient times, mainly because it is widely available in different areas of the world. Several companies are investing huge capital to build wind farms with the aim of obtaining the maximum possible economic return. Therefore, a precise definition of the dynamics of operation of the turbines is necessary in order to appropriately define a system that takes full advantage of the wind energy. In this study, the measurements of the noise emitted by different wind turbines were used to obtain information on the dynamics of operation. A selected range of average spectral levels was extracted in a 1/3 octave band. A model based on the neural network for detection has been developed and applied to identify the operating conditions of wind turbines. The prediction and identification model have returned a high precision that suggests the adoption of this tool for several other applications.","PeriodicalId":38109,"journal":{"name":"International Journal of Automation and Smart Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71154338","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}
{"title":"Highly Robust and Automated Vision based Filamentous Steel Strip Crack Detection System","authors":"A. S, Ravi Kumar M S","doi":"10.5875/ausmt.v10i1.2149","DOIUrl":"https://doi.org/10.5875/ausmt.v10i1.2149","url":null,"abstract":"","PeriodicalId":38109,"journal":{"name":"International Journal of Automation and Smart Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71154199","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}
{"title":"Study of Neural Network Training Algorithms in Detection of Wood Surface Defects","authors":"M.Thilagavathi Chandirasekaran, S. Sathappan","doi":"10.5875/AUSMT.V9I3.1924","DOIUrl":"https://doi.org/10.5875/AUSMT.V9I3.1924","url":null,"abstract":"Abstract Accurate detection of defects through machine vision improves the economical growth of wood industry. In this paper six common defects on wood surface are considered for study. The quality of the wood images is enhanced by Histogram Equalization method. The contrast enhanced images are subject to Thresholding segmentation which examines the objects in the image and identifies the defect. The segmented images are cropped in to small blocks. SFTA feature extraction method is accomplished to extract 21 texture features from the wood images. The extracted features are fed in to the training algorithms such as Levenberg-Marquardt, Scaled Conjugate Gradient, Gradient Descent with Adaptive Learning Rate, Bayesian Regularization and Resilent Backpropagation. The performance of the training algorithms is analyzed with several performance metrics. The result obtained shows a considerable improvement in accuracy of 98.2 % by Bayesian Regularization tool.","PeriodicalId":38109,"journal":{"name":"International Journal of Automation and Smart Technology","volume":"16 3","pages":"107-113"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41307537","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}
{"title":"A Novel Discovery Protocol for IoT Based Home Automation","authors":"T. Steane, P. Radcliffe","doi":"10.5875/AUSMT.V9I3.2076","DOIUrl":"https://doi.org/10.5875/AUSMT.V9I3.2076","url":null,"abstract":"It is proposed that Home Automation systems would be vastly improved by the novel approach of eliminating the permanent central controller as it is the source of significant problems. This leaves the responsibilities of the permanent central controller to be assumed by the remaining devices in the system, including IoT devices and interface devices such as smartphones and computers. While the capacity for joining devices to a network without the permanent central controller has been considered, device discovery has not. This paper examines existing protocols but finds that while many have worthwhile aspects none are suitable for the task. A novel discovery protocol is proposed, using smartphones or computers as intermittent control devices. This new protocol is developed with the aid of a new Robust Network Development Methodology which is able to anticipate problematic use cases prior to implementation. This methodology was very successfully in identifying and eliminating significant problems with the new protocol. Implementation and measurement of the novel discovery protocol demonstrates the viability and robustness of discovery without a permanent central controller on low cost ESP8266 family devices.","PeriodicalId":38109,"journal":{"name":"International Journal of Automation and Smart Technology","volume":"9 1","pages":"147-158"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43307936","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}
{"title":"A Morphology Approach for Fault Location on Transmission Lines","authors":"K. G. Firouzjah, M. Mohamadi","doi":"10.5875/AUSMT.V9I3.1937","DOIUrl":"https://doi.org/10.5875/AUSMT.V9I3.1937","url":null,"abstract":"This paper presents a heuristic method for fault location in transmission lines. It is established based on synchronized voltages sampling in line terminals using morphology approach. The proposed method uses only pre and during fault voltage phasors while traditional distance protection approaches require current transformers (CT) (with the issue of CT saturation and their errors), knowledge of line parameters and Thevenin impedance calculation. The proposed method is based on the voltage variations in the stationary reference frame (α-β). The changes of enclosed area of the voltage curve in the Clark coordinate due to fault is selected as the location criteria. Results indicates that the method is able to estimate fault point distances. However, the estimated fault point tolerates in a variable zone.","PeriodicalId":38109,"journal":{"name":"International Journal of Automation and Smart Technology","volume":"9 1","pages":"139-145"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46534810","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}
{"title":"Fault Detection and Isolation For Wind Turbine System Based On Proportional Multi-Integral Observer (PMIO)","authors":"Yassine Fadili, Kaoutar Lahmadi, I. Boumhidi","doi":"10.5875/AUSMT.V9I3.1917","DOIUrl":"https://doi.org/10.5875/AUSMT.V9I3.1917","url":null,"abstract":"This paper concerns the problem of Fault Detection and Isolation (FDI) of the wind turbines based a Proportional Multi-Integral Observer (PMIO). The main contribution of this paper is consisting of two part, in the fist part we have linearized the model of the wind turbine using Takagi-Sugeno (TS) approach based on the Lyapunov stability theory and LMI condition. Furthermore in second part the PMI observer has been considered for TS fuzzy model to estimate both actuator and sensor faults with introducing a centered noise. Although the k th derivatives of the actuators and sensor faults are not equal to zero and are bounded norm. However based on Lyapunov stability theory and L 2 performance analysis, the design conditions are established in LMIs formulations. The simulation shows that our proposal outperforms some existing approaches in the literature.","PeriodicalId":38109,"journal":{"name":"International Journal of Automation and Smart Technology","volume":"9 1","pages":"121-137"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48486250","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}
Nithin Somasundaran, Vijith Kayani, R. Chandrasekhar, S. K. Kottayil
{"title":"Automated Dispatch of Wind Power On Microgrid For Voltage Regulation","authors":"Nithin Somasundaran, Vijith Kayani, R. Chandrasekhar, S. K. Kottayil","doi":"10.5875/AUSMT.V9I3.1912","DOIUrl":"https://doi.org/10.5875/AUSMT.V9I3.1912","url":null,"abstract":"The variability of wind power generation adversely affects the grid conditions and the utilities find it challenging to accommodate variations in the injected wind power. To resolve this issue utilities impose curtailment of wind power generation. Demand side management (DSM) strategies have gained popularity among utilities in recent years. An advanced Demand Response (DR) scheme known as Demand Dispatch (DD) enable utilities to reshape demand curve to closely follow generation. An automated DD strategy is proposed as a solution to the issues related to high penetration of wind turbine generators (WTG) on micro grid. It basically balances the WTG power injection with real time controlled dispatchable loads. DD adopts smart communication for real time data collection as well as for dispatchable load management. A field implementation of DD in maintaining voltage stability in a DC microgrid with micro-WTG (m-WTG) is studied. The experiment results presented validate the scheme.","PeriodicalId":38109,"journal":{"name":"International Journal of Automation and Smart Technology","volume":"9 1","pages":"115-120"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46692906","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}