Currently, there is an increasing focus on the environmental impact and energy consumption of the oil and gas industry. In offshore drilling equipment, electric motors tend to replace traditionally used hydraulic motors, especially in rotational motion control applications. However, force densities available from linear hydraulic actuators are still typically higher than those of electric actuators. Therefore, usually the remaining source of hydraulic power is thereby the hydraulic cylinder. This paper presents a feasibility study on the implementation of an electromechanical cylinder drivetrain on an offshore vertical pipe handling machine. The scope of this paper is to investigate the feasibility of a commercial off-the-shelf drivetrain. With a focus on the motion performance, numerical modeling and simulation are used when sizing and selecting the components of the considered electromechanical cylinder drivetrain. The simulation results are analyzed and discussed together with a literature study regarding advantages and disadvantages of the proposed solution considering the design criteria of offshore drilling equipment. It is concluded that the selected drivetrain can only satisfy the static motion requirements since the required transmitted power is higher than the recommended permissible power of the transmission screw. Consequently, based on the recommendation of the manufacturer, avoidance of overheating cannot be guaranteed for the drivetrain combinations considered for the case study presented in this paper. Hence, to avoid overheating, the average speed of the motion cycle must be decreased. Alternatively, external cooling or temperature monitoring and control system that prevents overheating could be implemented.
{"title":"Feasibility Study of Electromechanical Cylinder Drivetrain for Offshore Mechatronic Systems","authors":"D. Hagen, W. Pawlus, M. Ebbesen, T. Andersen","doi":"10.4173/MIC.2017.2.2","DOIUrl":"https://doi.org/10.4173/MIC.2017.2.2","url":null,"abstract":"Currently, there is an increasing focus on the environmental impact and energy consumption of the oil and gas industry. In offshore drilling equipment, electric motors tend to replace traditionally used hydraulic motors, especially in rotational motion control applications. However, force densities available from linear hydraulic actuators are still typically higher than those of electric actuators. Therefore, usually the remaining source of hydraulic power is thereby the hydraulic cylinder. This paper presents a feasibility study on the implementation of an electromechanical cylinder drivetrain on an offshore vertical pipe handling machine. The scope of this paper is to investigate the feasibility of a commercial off-the-shelf drivetrain. With a focus on the motion performance, numerical modeling and simulation are used when sizing and selecting the components of the considered electromechanical cylinder drivetrain. The simulation results are analyzed and discussed together with a literature study regarding advantages and disadvantages of the proposed solution considering the design criteria of offshore drilling equipment. It is concluded that the selected drivetrain can only satisfy the static motion requirements since the required transmitted power is higher than the recommended permissible power of the transmission screw. Consequently, based on the recommendation of the manufacturer, avoidance of overheating cannot be guaranteed for the drivetrain combinations considered for the case study presented in this paper. Hence, to avoid overheating, the average speed of the motion cycle must be decreased. Alternatively, external cooling or temperature monitoring and control system that prevents overheating could be implemented.","PeriodicalId":49801,"journal":{"name":"Modeling Identification and Control","volume":"23 1","pages":"59-77"},"PeriodicalIF":1.7,"publicationDate":"2017-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78167503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper deals with the problem for improving the accuracy of the grey model (GM(1,1)) in traffic flow and CO2 emission prediction. In order to improve the prediction accuracy, we adopt a data grouping technique along with the GM(1,1) and a Grouped GM(1,1) (GGM(1,1)) is established. Moreover, by applying techniques of accumulated generating operation (AGO) and inverse accumulated generating operation (IAGO) on training data collected from national route 11 of Tokushima City, Japan, the accuracy of GM(1,1) and GGM(1,1) in forecasting vehicle volume and CO2 emissions is investigated. Therefore, in this paper we contribute to develop and enhance the GM(1,1)’s accuracy in prediction.
{"title":"Improving the Accuracy of the GM(1,1) by Data Grouping Technique and Its Application to Forecast Vehicle Volume and CO2 Emission in Tokushima City, Japan","authors":"Vincent B. Getanda, H. Oya, T. Kubo","doi":"10.2316/P.2017.848-016","DOIUrl":"https://doi.org/10.2316/P.2017.848-016","url":null,"abstract":"This paper deals with the problem for improving the accuracy of the grey model (GM(1,1)) in traffic flow and CO2 emission prediction. In order to improve the prediction accuracy, we adopt a data grouping technique along with the GM(1,1) and a Grouped GM(1,1) (GGM(1,1)) is established. Moreover, by applying techniques of accumulated generating operation (AGO) and inverse accumulated generating operation (IAGO) on training data collected from national route 11 of Tokushima City, Japan, the accuracy of GM(1,1) and GGM(1,1) in forecasting vehicle volume and CO2 emissions is investigated. Therefore, in this paper we contribute to develop and enhance the GM(1,1)’s accuracy in prediction.","PeriodicalId":49801,"journal":{"name":"Modeling Identification and Control","volume":"72 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90569378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The paper presents two missing data filling methods which can be applied to time series forecasting. The basic idea of the proposed methods is that usually, the forecasted parameter (in this case PM2.5 air pollutant concentration) is dependent on some related parameters that influence its value. When the parameter time series have missing data due to various reasons (e.g. faulty measurement instruments), the time series of other parameters (if available) can be used to fill in the missing values. One method is based on an artificial neural network that has as input the values of the other related parameters measured at time t and as output the value of the missing value of the forecasted parameter at time t. The other method is Holt-Winters which uses as inputs previous values of the forecasted parameter. These methods are proper for cases with larger gaps in the time series (more than several days). These filling methods are compared in terms of statistical indicators (e.g. RMSE). Also, a comparative study was performed for PM2.5 forecasting accuracy analysis with two forecasting methods: a feed forward artificial neural network and Holt-Winters.
{"title":"Modelling Missing Data for PM2.5 Time Series Forecasting with Computational Intelligence","authors":"M. Oprea, M. Popescu, M. Olteanu","doi":"10.2316/P.2017.848-025","DOIUrl":"https://doi.org/10.2316/P.2017.848-025","url":null,"abstract":"The paper presents two missing data filling methods which can be applied to time series forecasting. The basic idea of the proposed methods is that usually, the forecasted parameter (in this case PM2.5 air pollutant concentration) is dependent on some related parameters that influence its value. When the parameter time series have missing data due to various reasons (e.g. faulty measurement instruments), the time series of other parameters (if available) can be used to fill in the missing values. One method is based on an artificial neural network that has as input the values of the other related parameters measured at time t and as output the value of the missing value of the forecasted parameter at time t. The other method is Holt-Winters which uses as inputs previous values of the forecasted parameter. These methods are proper for cases with larger gaps in the time series (more than several days). These filling methods are compared in terms of statistical indicators (e.g. RMSE). Also, a comparative study was performed for PM2.5 forecasting accuracy analysis with two forecasting methods: a feed forward artificial neural network and Holt-Winters.","PeriodicalId":49801,"journal":{"name":"Modeling Identification and Control","volume":"97 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74487562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Digital redesign method called the Plant-Input-Mapping (PIM) method is used as bases for the design of a digital controller to track a ramp-type reference input without steady-state errors. This is achieved by modifying a lower order part of the numerator in the pre-filter so that the condition for the controller to have zero steady-state error is satisfied. The Euler operator is used so that the arguments made in the continuous-time domain are carried over to the discrete-time domain with ease. Simulation results are presented to show that the proposed modification made to the PIM digital controller is effective. Comparisons with the digital controller designed using the Tustin discretization method are also shown.
{"title":"Digital Tracking Control Based on Plant-Input-Mapping with Prefilter Adjustment","authors":"Tian Ji, N. Hori","doi":"10.2316/P.2017.848-055","DOIUrl":"https://doi.org/10.2316/P.2017.848-055","url":null,"abstract":"Digital redesign method called the Plant-Input-Mapping (PIM) method is used as bases for the design of a digital controller to track a ramp-type reference input without steady-state errors. This is achieved by modifying a lower order part of the numerator in the pre-filter so that the condition for the controller to have zero steady-state error is satisfied. The Euler operator is used so that the arguments made in the continuous-time domain are carried over to the discrete-time domain with ease. Simulation results are presented to show that the proposed modification made to the PIM digital controller is effective. Comparisons with the digital controller designed using the Tustin discretization method are also shown.","PeriodicalId":49801,"journal":{"name":"Modeling Identification and Control","volume":"57 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85092396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper deals with the Job Shop scheduling problem with constraints of minimum and maximum Time Lags (JSTL). This problem is an extension of the job shop scheduling problem, with additional constraints of minimum and maximum time lags existing between successive operations of the same job. In this work, we investigate Parallel Tabu Searches implemented by competitive agents for the Job Shop problem with Time Lags. The resolution model consists of an Interface Agent and a set of n competitive Job Agents, each one containing the tabu search core, generates an initial solution, executes the tabu search process and uses the NEH heuristic process for the diversification step. Good performances of the proposed model are shown through different comparisons on benchmarks based on instances of the literature.
{"title":"Competitive Agents Implementing Parallel Tabu Searches for Job Shop Scheduling Problem with Time Lags","authors":"M. Harrabi, O. Driss, K. Ghédira","doi":"10.2316/P.2017.848-052","DOIUrl":"https://doi.org/10.2316/P.2017.848-052","url":null,"abstract":"This paper deals with the Job Shop scheduling problem with constraints of minimum and maximum Time Lags (JSTL). This problem is an extension of the job shop scheduling problem, with additional constraints of minimum and maximum time lags existing between successive operations of the same job. In this work, we investigate Parallel Tabu Searches implemented by competitive agents for the Job Shop problem with Time Lags. The resolution model consists of an Interface Agent and a set of n competitive Job Agents, each one containing the tabu search core, generates an initial solution, executes the tabu search process and uses the NEH heuristic process for the diversification step. Good performances of the proposed model are shown through different comparisons on benchmarks based on instances of the literature.","PeriodicalId":49801,"journal":{"name":"Modeling Identification and Control","volume":"8 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81830333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Paul Alexandre A. Bardella, R. Botez, Pierre Pageaud
The aviation industry is motivated to develop and validate new aircraft models for the prediction of engine performance. These models are used in the preliminary aircraft design in order to predict its engines performance. The purpose of this study is to design an accurate model of the fan and compressor engine components. This model will then be integrated in a full engine model based on a component modeling approach. Several methods already exist to model compressing components. Among them, the stage-stacking method is used in this paper. This method can be used to predict the compressor performance but also its deterioration (ex: “fouling”). In both cases, the principle is the same. Each stage is separated, and the first stage outputs are used for the next stage as inputs until the last stage is reached, when the final outputs are acquired. A Cessna Citation X Level D Research Flight Simulator designed by CAE Inc. is used to sample the data needed to identify and validate the engine models elaborated for the whole flight envelope. Level D is the highest level of certification given by the FAA for the flight dynamics. Thus the simulator is used as real aircraft flight dynamics data. Different flight tests were performed to mesh the flight envelope for different flight conditions (Mach numbers from 0 to 0.92; altitude from 0 to 50000ft and Throttle Lever Angle,TLA, from “idle” to “max” in degrees). Nonetheless, the stage stacking method needs information which is not always available, such as the blade angle. A “grey box” approach was chosen. The unmeasurable parameters were identified in order to tune the model, and thus to reduce the global error between the model and the simulation data. A “black box” approach was also with an optimisation algorithm to approximate the outputs as polynomial functions of the inputs. In both cases the results were found to be accurate.
航空工业有动力开发和验证用于预测发动机性能的新飞机模型。这些模型用于飞机的初步设计，以预测其发动机的性能。本研究的目的是设计一个精确的风扇和压气机发动机部件模型。然后，该模型将被集成到基于组件建模方法的完整引擎模型中。已有几种方法可以对压缩组件建模。其中，本文采用的是阶段叠加法。这种方法既可用于预测压缩机的性能，也可用于预测其恶化情况(例如:“结垢”)。在这两种情况下，原理是相同的。每个阶段都是分开的，第一阶段的输出用作下一阶段的输入，直到到达最后阶段，获得最终输出。CAE公司设计的Cessna Citation X Level D研究型飞行模拟器用于采集数据，以识别和验证为整个飞行包线精心设计的发动机模型。D级是美国联邦航空局对飞行动力学给出的最高级别认证。因此，该模拟器可以作为真实的飞机飞行动力学数据。针对不同的飞行条件(马赫数从0到0.92;高度从0到50000ft，油门杆角度，TLA，从“怠速”到“最大”度)。然而，阶段叠加法需要的信息并不总是可用的，比如叶片角度。我们选择了一种“灰盒”方法。识别不可测参数，对模型进行调优，从而减小模型与仿真数据之间的全局误差。“黑盒”方法还使用优化算法将输出近似为输入的多项式函数。在这两种情况下，结果都是准确的。
{"title":"Cessna citation X engine model experimental validation","authors":"Paul Alexandre A. Bardella, R. Botez, Pierre Pageaud","doi":"10.2316/P.2017.848-031","DOIUrl":"https://doi.org/10.2316/P.2017.848-031","url":null,"abstract":"The aviation industry is motivated to develop and validate new aircraft models for the prediction of engine performance. These models are used in the preliminary aircraft design in order to predict its engines performance. The purpose of this study is to design an accurate model of the fan and compressor engine components. This model will then be integrated in a full engine model based on a component modeling approach. Several methods already exist to model compressing components. Among them, the stage-stacking method is used in this paper. This method can be used to predict the compressor performance but also its deterioration (ex: “fouling”). In both cases, the principle is the same. Each stage is separated, and the first stage outputs are used for the next stage as inputs until the last stage is reached, when the final outputs are acquired. A Cessna Citation X Level D Research Flight Simulator designed by CAE Inc. is used to sample the data needed to identify and validate the engine models elaborated for the whole flight envelope. Level D is the highest level of certification given by the FAA for the flight dynamics. Thus the simulator is used as real aircraft flight dynamics data. Different flight tests were performed to mesh the flight envelope for different flight conditions (Mach numbers from 0 to 0.92; altitude from 0 to 50000ft and Throttle Lever Angle,TLA, from “idle” to “max” in degrees). Nonetheless, the stage stacking method needs information which is not always available, such as the blade angle. A “grey box” approach was chosen. The unmeasurable parameters were identified in order to tune the model, and thus to reduce the global error between the model and the simulation data. A “black box” approach was also with an optimisation algorithm to approximate the outputs as polynomial functions of the inputs. In both cases the results were found to be accurate.","PeriodicalId":49801,"journal":{"name":"Modeling Identification and Control","volume":"3 1 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78248285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Geun-Ho Park, Dong-Gyu Kim, Ho Jae Kim, Jin-O Park, Wonjin Lee, Jae-Heon Ko, Hyoung-Nam Kim, Xianglan Jin
We analyze the performance of a decoupled maximum likelihood (DEML) angle estimator in an FM based passive bistatic radar. Under the assumption that the bistatic range, the Doppler frequency estimates, and the transmitted signal emitted from an illuminator are given, we analyze the sensitivity of the DEML estimator against the range and Doppler frequency errors from the analytic expressions and simulation results. As a result, the performance of the DEML estimator may be mainly degraded by the Doppler frequency errors and we derive a condition that the root-mean-square error of the DEML estimator diverges.
{"title":"Performance Analysis on a Decoupled Maximum Likelihood Angle Estimator in an FM Based Passive Bistatic Radar","authors":"Geun-Ho Park, Dong-Gyu Kim, Ho Jae Kim, Jin-O Park, Wonjin Lee, Jae-Heon Ko, Hyoung-Nam Kim, Xianglan Jin","doi":"10.2316/P.2017.848-044","DOIUrl":"https://doi.org/10.2316/P.2017.848-044","url":null,"abstract":"We analyze the performance of a decoupled maximum likelihood (DEML) angle estimator in an FM based passive bistatic radar. Under the assumption that the bistatic range, the Doppler frequency estimates, and the transmitted signal emitted from an illuminator are given, we analyze the sensitivity of the DEML estimator against the range and Doppler frequency errors from the analytic expressions and simulation results. As a result, the performance of the DEML estimator may be mainly degraded by the Doppler frequency errors and we derive a condition that the root-mean-square error of the DEML estimator diverges.","PeriodicalId":49801,"journal":{"name":"Modeling Identification and Control","volume":"60 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75896312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With rapid advances in technology, biometric control systems have become part of the contemporary world. Wrist pattern is a biometric that is unique to the individual and can be seen on the skin of most individuals. This study focuses on the left wrist vein images of 20 people, in a visible light band, using a simple smartphone 5 MP camera. Selecting a reference line on wrist wrinkle, the wrist vein regions are cropped as square. The red layer of the RGB vein image has been filtered with Gaussian Low Pass Filter to eliminate any high frequency noise. Sharpening and contrast stretching operations have been used on the filtered images. Sub-pixel correspondence matching, using phase-only correlation method, can yield efficient results for biometric image matching. In this paper, phase-based correspondence matching pattern recognition method is used in order to perform person recognition from wrist vein patterns, which have been captured by a smartphone camera. It is argued that, the experiments this study has conducted demonstrates that phase-based correspondence matching provides an effective means for wrist vein recognition.
{"title":"Wrist Vein Recognition by Ordinary Camera Using Phase-based Correspondence Matching","authors":"Ozden Niyaz, Zehra Gulru Cam, T. Yıldırım","doi":"10.2316/P.2017.848-051","DOIUrl":"https://doi.org/10.2316/P.2017.848-051","url":null,"abstract":"With rapid advances in technology, biometric control systems have become part of the contemporary world. Wrist pattern is a biometric that is unique to the individual and can be seen on the skin of most individuals. This study focuses on the left wrist vein images of 20 people, in a visible light band, using a simple smartphone 5 MP camera. Selecting a reference line on wrist wrinkle, the wrist vein regions are cropped as square. The red layer of the RGB vein image has been filtered with Gaussian Low Pass Filter to eliminate any high frequency noise. Sharpening and contrast stretching operations have been used on the filtered images. Sub-pixel correspondence matching, using phase-only correlation method, can yield efficient results for biometric image matching. In this paper, phase-based correspondence matching pattern recognition method is used in order to perform person recognition from wrist vein patterns, which have been captured by a smartphone camera. It is argued that, the experiments this study has conducted demonstrates that phase-based correspondence matching provides an effective means for wrist vein recognition.","PeriodicalId":49801,"journal":{"name":"Modeling Identification and Control","volume":"49 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75706750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Thilina H. Weerakkody, T. Lalitharatne, R. A. R. C. Gopura, N. Liyanaarachchi, Chinthaka Herath
Proper functioning of the shoulder complex is imperative for upper limb motion. Therefore, amputees who undergo shoulder disarticulation or forequarter amputation require a prosthetic device which can replicate the functionalities of a human shoulder, in order to regain their upper limb motions. Different prosthetic devices are proposed for shoulder level amputees to assist motions of the shoulder complex. This paper proposed an externally powered prosthetic device for shoulder amputees. The shoulder prosthesis can perform shoulder flexion/extension, shoulder abduction/adduction, and shoulder internal/external rotation. Experiments are carried out with a low–level control method to validate the motion generation of the proposed prosthesis.
{"title":"Development of an Active Shoulder Prosthesis with Low-Level Control Validation","authors":"Thilina H. Weerakkody, T. Lalitharatne, R. A. R. C. Gopura, N. Liyanaarachchi, Chinthaka Herath","doi":"10.2316/P.2017.848-058","DOIUrl":"https://doi.org/10.2316/P.2017.848-058","url":null,"abstract":"Proper functioning of the shoulder complex is imperative for upper limb motion. Therefore, amputees who undergo shoulder disarticulation or forequarter amputation require a prosthetic device which can replicate the functionalities of a human shoulder, in order to regain their upper limb motions. Different prosthetic devices are proposed for shoulder level amputees to assist motions of the shoulder complex. This paper proposed an externally powered prosthetic device for shoulder amputees. The shoulder prosthesis can perform shoulder flexion/extension, shoulder abduction/adduction, and shoulder internal/external rotation. Experiments are carried out with a low–level control method to validate the motion generation of the proposed prosthesis.","PeriodicalId":49801,"journal":{"name":"Modeling Identification and Control","volume":"1 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89471975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A bond graph model of a three-time scale system is presented. The original system is decomposed into slow, fast 1 and fast 2 (faster than fast 1) subsystems. Reduced models that determine the quasisteady state model are obtained. By removing the fast dynamics assigning a derivative causality and maintaining an integral causality assignment, reduced models are obtained. This reduction is done in two parts: rst removing the fast 2 dynamics and then fast 1 dynamics. Finally, the proposed methodology is applied to an example.
{"title":"Modelling in Bond Graph of Systems with Multi-Time-Scale","authors":"Gilberto Gonzalez-A, V. L. Garza","doi":"10.2316/P.2017.848-020","DOIUrl":"https://doi.org/10.2316/P.2017.848-020","url":null,"abstract":"A bond graph model of a three-time scale system is presented. The original system is decomposed into slow, fast 1 and fast 2 (faster than fast 1) subsystems. Reduced models that determine the quasisteady state model are obtained. By removing the fast dynamics assigning a derivative causality and maintaining an integral causality assignment, reduced models are obtained. This reduction is done in two parts: \u0085rst removing the fast 2 dynamics and then fast 1 dynamics. Finally, the proposed methodology is applied to an example.","PeriodicalId":49801,"journal":{"name":"Modeling Identification and Control","volume":"48 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86910916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：