Pub Date : 2017-12-07DOI: 10.1007/978-3-319-69814-4_74
Nhat Minh Do, P. Nguyen, D. Nguyễn
{"title":"Design and simulate a Fuzzy autopilot for an Unmanned Surface Vessel","authors":"Nhat Minh Do, P. Nguyen, D. Nguyễn","doi":"10.1007/978-3-319-69814-4_74","DOIUrl":"https://doi.org/10.1007/978-3-319-69814-4_74","url":null,"abstract":"","PeriodicalId":296191,"journal":{"name":"2017 International Conference on System Science and Engineering (ICSSE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133889201","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 : 2017-09-08DOI: 10.1109/ICSSE.2017.8030852
Li Wang, Quang-Son Vo, M. Hsieh, Cheng-Tai Wu, Chieh-Lung Lu, Bing-Lin Kuan, Xiu-Yu Lu, A. Prokhorov
This paper presents the voltage-variation results at the point of common coupling (PCC) when a high-capacity doubly-fed induction generator (DFIG)-based offshore wind farm (OWF) of 403.2 MW or 288 MW is connected to different buses of the neighboring onshore substation of Taiwan Power System through three or two submarine cables and underground cables. The voltage variations at the PCC under different lengths of submarine cable and various capacities of the studied OWF are also compared. A commercial power-system simulation software of PSS/E is utilized to simulate the voltage-variation results at PCC when the studied OWF with different capacities is connected to one of the selected buses under different lengths of submarine cable. It can be concluded from the simulation results that some buses with strong (weak) strength can exhibit smaller (larger) values on voltage variation at PCC after the studied OWF is connected to Taiwan Power System.
{"title":"Analysis of voltage-variation results of Taiwan Power System connected with a ring-type high-capacity offshore wind farm","authors":"Li Wang, Quang-Son Vo, M. Hsieh, Cheng-Tai Wu, Chieh-Lung Lu, Bing-Lin Kuan, Xiu-Yu Lu, A. Prokhorov","doi":"10.1109/ICSSE.2017.8030852","DOIUrl":"https://doi.org/10.1109/ICSSE.2017.8030852","url":null,"abstract":"This paper presents the voltage-variation results at the point of common coupling (PCC) when a high-capacity doubly-fed induction generator (DFIG)-based offshore wind farm (OWF) of 403.2 MW or 288 MW is connected to different buses of the neighboring onshore substation of Taiwan Power System through three or two submarine cables and underground cables. The voltage variations at the PCC under different lengths of submarine cable and various capacities of the studied OWF are also compared. A commercial power-system simulation software of PSS/E is utilized to simulate the voltage-variation results at PCC when the studied OWF with different capacities is connected to one of the selected buses under different lengths of submarine cable. It can be concluded from the simulation results that some buses with strong (weak) strength can exhibit smaller (larger) values on voltage variation at PCC after the studied OWF is connected to Taiwan Power System.","PeriodicalId":296191,"journal":{"name":"2017 International Conference on System Science and Engineering (ICSSE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127243443","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 : 2017-07-21DOI: 10.1109/ICSSE.2017.8030899
Ngon Dang Thien, C. L. Chi, Ha Nguyen Ngoc
Oil refinery industry is using large amount of radiographic films of weld defects, requiring human work by technicians to interpretation. This paper presents a method and automated system for determination of weld defect from radiographic films by using the image processing technique. The hardware and software system rapidly and automatically convert the radiographic films into digital images, then analyzes and compares with the digitalized radiographic images database. The probable defects and its type recognized defect are determined. This approach will be significant in developing a professional system for partially replacing technician work in image interpretation, ensuring quality and productivity in welding manufacturing technology.
{"title":"An approach to the automatic detection of weld defects in radiography films using digital image processing","authors":"Ngon Dang Thien, C. L. Chi, Ha Nguyen Ngoc","doi":"10.1109/ICSSE.2017.8030899","DOIUrl":"https://doi.org/10.1109/ICSSE.2017.8030899","url":null,"abstract":"Oil refinery industry is using large amount of radiographic films of weld defects, requiring human work by technicians to interpretation. This paper presents a method and automated system for determination of weld defect from radiographic films by using the image processing technique. The hardware and software system rapidly and automatically convert the radiographic films into digital images, then analyzes and compares with the digitalized radiographic images database. The probable defects and its type recognized defect are determined. This approach will be significant in developing a professional system for partially replacing technician work in image interpretation, ensuring quality and productivity in welding manufacturing technology.","PeriodicalId":296191,"journal":{"name":"2017 International Conference on System Science and Engineering (ICSSE)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129600927","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 : 2017-07-21DOI: 10.1109/ICSSE.2017.8030837
T. N. Le, N. A. Nguyen, H. Quyen
This paper proposed a new emergency control of load shedding model to ensure sustained power system stability when short circuit incidents occur based on the basis of coordination algorithms applied technology knowledge: K-means clustering, artificial neural network and analytic hierarchy process algorithms. This is a load shedding model allowing to make quick decisions of strategy selection, to reduce the decision time, to recovery time and to improve frequency stability compared to traditional methods. The main purpose of the presented coordinated control system is to reduce the recovery time and maintain dynamic stability of power systems. K-means clustering algorithm divided instability mode into clusters. The results of analysis of these clusters were used as the basis for classification control. Load shedding strategies were built consists of pre-designed rules based on AHP algorithm. The load shedding was considered to cut the less important factor loads first for contributing to reduce the damages. The effectiveness of the algorithm was demonstrated through the load shedding experiment on IEEE 39 bus 10 generators compared with traditional methods.
{"title":"Emergency control of load shedding based on coordination of artificial neural network and Analytic Hierarchy Process Algorithm","authors":"T. N. Le, N. A. Nguyen, H. Quyen","doi":"10.1109/ICSSE.2017.8030837","DOIUrl":"https://doi.org/10.1109/ICSSE.2017.8030837","url":null,"abstract":"This paper proposed a new emergency control of load shedding model to ensure sustained power system stability when short circuit incidents occur based on the basis of coordination algorithms applied technology knowledge: K-means clustering, artificial neural network and analytic hierarchy process algorithms. This is a load shedding model allowing to make quick decisions of strategy selection, to reduce the decision time, to recovery time and to improve frequency stability compared to traditional methods. The main purpose of the presented coordinated control system is to reduce the recovery time and maintain dynamic stability of power systems. K-means clustering algorithm divided instability mode into clusters. The results of analysis of these clusters were used as the basis for classification control. Load shedding strategies were built consists of pre-designed rules based on AHP algorithm. The load shedding was considered to cut the less important factor loads first for contributing to reduce the damages. The effectiveness of the algorithm was demonstrated through the load shedding experiment on IEEE 39 bus 10 generators compared with traditional methods.","PeriodicalId":296191,"journal":{"name":"2017 International Conference on System Science and Engineering (ICSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129893736","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 : 2017-07-21DOI: 10.1109/ICSSE.2017.8030886
Truong Nguyen Luan Vu, Do Van Dung, N. V. Trang, P. T. Hai
In this paper, a new design of proportional-integral-derivative (PID) controller for the active vehicle suspension system (AVSS) of a quarter car model is proposed on the basis of the well-known Internal Model Control (IMC) theory in order to compromise the two conflicting criteria between the passenger ride comfort and road handling. By using the given mathematical ordinary differential equations (ODEs) and state-space matrix expression in t-domain via the kinematic and dynamic of a quarter two degrees of freedom model, the transfer function is firstly established for its model and the proposed AVSS based PID control is then systematically introduced for enhancing the ride comfort. Moreover, the computer simulation model of the passive and active suspension systems is established for the purpose of having a fair comparison. A various kinds of the road input signals are selected for testing the systems, such as unit step, sine wave, and white noise signals. The simulation results indicate that the performance of proposed AVSS has the significantly improved in terms of reducing the peak overshoot of sprung mass displacement and sprung mass acceleration in compared with the other traditional passive suspension systems.
{"title":"Analytical design of PID controller for enhancing ride comfort of active vehicle suspension system","authors":"Truong Nguyen Luan Vu, Do Van Dung, N. V. Trang, P. T. Hai","doi":"10.1109/ICSSE.2017.8030886","DOIUrl":"https://doi.org/10.1109/ICSSE.2017.8030886","url":null,"abstract":"In this paper, a new design of proportional-integral-derivative (PID) controller for the active vehicle suspension system (AVSS) of a quarter car model is proposed on the basis of the well-known Internal Model Control (IMC) theory in order to compromise the two conflicting criteria between the passenger ride comfort and road handling. By using the given mathematical ordinary differential equations (ODEs) and state-space matrix expression in t-domain via the kinematic and dynamic of a quarter two degrees of freedom model, the transfer function is firstly established for its model and the proposed AVSS based PID control is then systematically introduced for enhancing the ride comfort. Moreover, the computer simulation model of the passive and active suspension systems is established for the purpose of having a fair comparison. A various kinds of the road input signals are selected for testing the systems, such as unit step, sine wave, and white noise signals. The simulation results indicate that the performance of proposed AVSS has the significantly improved in terms of reducing the peak overshoot of sprung mass displacement and sprung mass acceleration in compared with the other traditional passive suspension systems.","PeriodicalId":296191,"journal":{"name":"2017 International Conference on System Science and Engineering (ICSSE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121882538","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 : 2017-07-21DOI: 10.1109/ICSSE.2017.8030940
Y. Chai, Ying-Fang Huang, Hoang-Sa Dang
Western style of coffeehouse chain presents a new market trend for beverage business industry with more opportunities and challenges in Vietnam. However, consideration of the Vietnamese consumer perception on this issue has not been introduced in the scholarly study yet as our knowledges. Thus, this study aims at utilizing the questionnaire approach to obtain the consumers' information, and then, the grey model GM(0,N) is applied to determine the major factors of marketing mix impact on Vietnamese's purchase decision who was serviced at western style coffeehouse chains. Based on the data from 176 valid questionnaires among of 220 responses, the results indicated that, five elements of marketing mix significantly impacted to the consumer decision on purchasing coffee beverages. Among them, promotions and products have been evaluated as the crucial factors which factor weightings are 0.3571 and 0.3041, respectively. Follow by, the price (0.1387), place (0.1254) and people (0.0791). This study found that Vietnamese consumers take more considerations on promotions activities and the taste of coffee beverages when purchasing coffee beverages in western style of coffeehouse chains. In spite of that products of coffee beverages with good taste and reasonable price can make consumers have a high level satisfaction and confidence to purchase.
{"title":"Determining the effects of marketing mix on customers' purchase decision using the grey model GM(0,N) - case study of the western style coffeehouse chains in Vietnam","authors":"Y. Chai, Ying-Fang Huang, Hoang-Sa Dang","doi":"10.1109/ICSSE.2017.8030940","DOIUrl":"https://doi.org/10.1109/ICSSE.2017.8030940","url":null,"abstract":"Western style of coffeehouse chain presents a new market trend for beverage business industry with more opportunities and challenges in Vietnam. However, consideration of the Vietnamese consumer perception on this issue has not been introduced in the scholarly study yet as our knowledges. Thus, this study aims at utilizing the questionnaire approach to obtain the consumers' information, and then, the grey model GM(0,N) is applied to determine the major factors of marketing mix impact on Vietnamese's purchase decision who was serviced at western style coffeehouse chains. Based on the data from 176 valid questionnaires among of 220 responses, the results indicated that, five elements of marketing mix significantly impacted to the consumer decision on purchasing coffee beverages. Among them, promotions and products have been evaluated as the crucial factors which factor weightings are 0.3571 and 0.3041, respectively. Follow by, the price (0.1387), place (0.1254) and people (0.0791). This study found that Vietnamese consumers take more considerations on promotions activities and the taste of coffee beverages when purchasing coffee beverages in western style of coffeehouse chains. In spite of that products of coffee beverages with good taste and reasonable price can make consumers have a high level satisfaction and confidence to purchase.","PeriodicalId":296191,"journal":{"name":"2017 International Conference on System Science and Engineering (ICSSE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116001622","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 : 2017-07-21DOI: 10.1109/ICSSE.2017.8030827
Nguyen Mong Hien, N. Binh, Ngo Quoc Viet
In the modern life, people often face a few dangerous diseases, the time is considered as gold. Therefore, the survival of patients depends on whether the doctor is right or wrong in diagnosis. While the edges of object in magnetic resonance image (MRI) are important clues, which can make doctors know the problems. In real life, medical images often have low quality, so to find the object boundaries in images is not an easy task. In this paper, a new approach to MRI edge detection issue is shown. Our proposed method includes three stages. Firstly, using the Semi Translation Invariant Contourlet Transform (STICT) to improve quality of the original MRI. Secondly, the result of first stage is subjected to image segmentation by using Fuzzy C Means (FCM) clustering method. Finally, Canny edge detection method is applied to detect the fine edges. The proposed method is better than the other recent methods based on compared results.
{"title":"Edge detection based on Fuzzy C Means in medical image processing system","authors":"Nguyen Mong Hien, N. Binh, Ngo Quoc Viet","doi":"10.1109/ICSSE.2017.8030827","DOIUrl":"https://doi.org/10.1109/ICSSE.2017.8030827","url":null,"abstract":"In the modern life, people often face a few dangerous diseases, the time is considered as gold. Therefore, the survival of patients depends on whether the doctor is right or wrong in diagnosis. While the edges of object in magnetic resonance image (MRI) are important clues, which can make doctors know the problems. In real life, medical images often have low quality, so to find the object boundaries in images is not an easy task. In this paper, a new approach to MRI edge detection issue is shown. Our proposed method includes three stages. Firstly, using the Semi Translation Invariant Contourlet Transform (STICT) to improve quality of the original MRI. Secondly, the result of first stage is subjected to image segmentation by using Fuzzy C Means (FCM) clustering method. Finally, Canny edge detection method is applied to detect the fine edges. The proposed method is better than the other recent methods based on compared results.","PeriodicalId":296191,"journal":{"name":"2017 International Conference on System Science and Engineering (ICSSE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126083212","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 : 2017-07-21DOI: 10.1109/ICSSE.2017.8030920
Hong Toan Dinh, D. K. Truong, Tran Hiep Nguyen, Xuan-Tung Truong, C. D. Nguyen
This paper presents an active disturbance rejection rejection control design for integrated guidance and control missile based on sliding mode control and extended state observer. The integrated model is formulated as a block-strict-feedback nonlinear system, in which modeling errors, unmodeled non-linearities, target maneuvers, etc. are viewed as unknown uncertainties. The nonlinear control law is designed based on backstepping and sliding mode control (SMC) techniques. Based on the principle of active disturbance rejection control (ADRC), enhanced feedback linearization (FL) based control law is implemented for the IGC model using the estimates generated by an extended state observer (ESO). The stability analysis of the closed-loop system is also conducted. Simulation results show that, small miss distances and smooth missile trajectories are achieved, and the system is robust against system uncertainties and external disturbances.
{"title":"Active disturbance rejection control design for integrated guidance and control missile based SMC and extended state observer","authors":"Hong Toan Dinh, D. K. Truong, Tran Hiep Nguyen, Xuan-Tung Truong, C. D. Nguyen","doi":"10.1109/ICSSE.2017.8030920","DOIUrl":"https://doi.org/10.1109/ICSSE.2017.8030920","url":null,"abstract":"This paper presents an active disturbance rejection rejection control design for integrated guidance and control missile based on sliding mode control and extended state observer. The integrated model is formulated as a block-strict-feedback nonlinear system, in which modeling errors, unmodeled non-linearities, target maneuvers, etc. are viewed as unknown uncertainties. The nonlinear control law is designed based on backstepping and sliding mode control (SMC) techniques. Based on the principle of active disturbance rejection control (ADRC), enhanced feedback linearization (FL) based control law is implemented for the IGC model using the estimates generated by an extended state observer (ESO). The stability analysis of the closed-loop system is also conducted. Simulation results show that, small miss distances and smooth missile trajectories are achieved, and the system is robust against system uncertainties and external disturbances.","PeriodicalId":296191,"journal":{"name":"2017 International Conference on System Science and Engineering (ICSSE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125101589","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 : 2017-07-21DOI: 10.1109/ICSSE.2017.8030835
Hoang Le Uyen Thuc, P. Tuan, Jenq-Neng Hwang
Fall is one of the major health challenges facing the elderly adults, especially the adults with high fall risk factors. In this paper, we aim to build a video-based model to mitigate the consequences of fall of the elderly at two application scenarios: (1) predict the fall risk caused by unbalanced gait and (2) detect a fall event as soon as it happens. In the first stage, we use a common camera to capture the video of a person moving such as doing actions or walking. In the second stage, our proposed model for both scenarios follows the same three-module structure: (1) human object segmentation using background subtraction, (2) feature representation using two separate feature descriptors, one for each application scenario, and (3) abnormal event detection based on Hidden Markov Model. The final stage is to convey an SMS message to the pre-defined cell phone number to notify the caregiver of detected anomaly. Experimental results show the promising performance of the proposed model in terms of the acceptable accuracy and the low processing time.
{"title":"An effective video-based model for fall monitoring of the elderly","authors":"Hoang Le Uyen Thuc, P. Tuan, Jenq-Neng Hwang","doi":"10.1109/ICSSE.2017.8030835","DOIUrl":"https://doi.org/10.1109/ICSSE.2017.8030835","url":null,"abstract":"Fall is one of the major health challenges facing the elderly adults, especially the adults with high fall risk factors. In this paper, we aim to build a video-based model to mitigate the consequences of fall of the elderly at two application scenarios: (1) predict the fall risk caused by unbalanced gait and (2) detect a fall event as soon as it happens. In the first stage, we use a common camera to capture the video of a person moving such as doing actions or walking. In the second stage, our proposed model for both scenarios follows the same three-module structure: (1) human object segmentation using background subtraction, (2) feature representation using two separate feature descriptors, one for each application scenario, and (3) abnormal event detection based on Hidden Markov Model. The final stage is to convey an SMS message to the pre-defined cell phone number to notify the caregiver of detected anomaly. Experimental results show the promising performance of the proposed model in terms of the acceptable accuracy and the low processing time.","PeriodicalId":296191,"journal":{"name":"2017 International Conference on System Science and Engineering (ICSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129474879","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 : 2017-07-21DOI: 10.1109/ICSSE.2017.8030843
N. H. Mai
Gas turbine engine has the highest performance in the engine rotation. The performance of the types of modern gas turbines could able up to 44%. In specific applications, gas turbines are used for equipment such as electrical generators, aircraft engines, high-speed boat … The applications of gas turbine are used to transmit turbine, cabinet pull in eneral[3],[5],[6],[9],[10],[12],[15]. However, there have been no published works on the use of dual turbine. This paper presents an artificial neural network controller to control Double Differential Gas Turbine (DDGT) by use algorithm to synchronize the speed of two turbines at each variable turbine load to reduce low power balance in the system. From the Rowen's model of control for a turbine, the author analyzed and combined with the existing model to construct a dual turbine combinatorial structure coupled by differential coupling. Model-driven control algorithms are used as training grounds for artificial neural networks (ANNs) to replace traditional PID controllers. Because the double tubine construction is strong nonlinear system, modeling is directly transformed from the object model. Simulation results for a dual-turbine twin-turbine combination of 32MW, demonstrating the suitability of the theory. Simulation results show that ANN can be deployed into practice to replace PID controllers to increase control accuracy.
{"title":"A neural control of the parallel Gas Turbine with differential link","authors":"N. H. Mai","doi":"10.1109/ICSSE.2017.8030843","DOIUrl":"https://doi.org/10.1109/ICSSE.2017.8030843","url":null,"abstract":"Gas turbine engine has the highest performance in the engine rotation. The performance of the types of modern gas turbines could able up to 44%. In specific applications, gas turbines are used for equipment such as electrical generators, aircraft engines, high-speed boat … The applications of gas turbine are used to transmit turbine, cabinet pull in eneral[3],[5],[6],[9],[10],[12],[15]. However, there have been no published works on the use of dual turbine. This paper presents an artificial neural network controller to control Double Differential Gas Turbine (DDGT) by use algorithm to synchronize the speed of two turbines at each variable turbine load to reduce low power balance in the system. From the Rowen's model of control for a turbine, the author analyzed and combined with the existing model to construct a dual turbine combinatorial structure coupled by differential coupling. Model-driven control algorithms are used as training grounds for artificial neural networks (ANNs) to replace traditional PID controllers. Because the double tubine construction is strong nonlinear system, modeling is directly transformed from the object model. Simulation results for a dual-turbine twin-turbine combination of 32MW, demonstrating the suitability of the theory. Simulation results show that ANN can be deployed into practice to replace PID controllers to increase control accuracy.","PeriodicalId":296191,"journal":{"name":"2017 International Conference on System Science and Engineering (ICSSE)","volume":"263 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121713762","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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