Pub Date : 2015-06-16DOI: 10.1109/MED.2015.7158800
R. L. Pereira, K. Kienitz
This paper presents an application of sliding mode controllers obtained via amplified linear quadratic regulator (ALQR) strategy to a hover with three degrees of freedom. The purpose of the designed control system is to track reference trajectories and ensure performance and stability in spite of disturbance, noise and unmodeled dynamics. Simulations were performed using MATLAB/Simulink in order to verify/compare the performance of the nonlinear controllers proposed. For validation of the algorithm a didactic plant (3DOF Hover) was chosen produced by Quanser Consulting, that simulates typical behaviors of an VTOL (“vertical taking-off landing”) aircraft, also known as X4-flyer. The dynamic of the hover can be described by a 6th order model taking as state variables the angles of yaw, pitch, roll and associated rates. The experiments showed that designed nonlinear controllers using sliding mode control via ALQR are robust to noises and for a range of unmodeled nonlinearities.
{"title":"Experimental investigation of nonlinear controllers applied to a 3DOF hover: SMC via ALQR approach","authors":"R. L. Pereira, K. Kienitz","doi":"10.1109/MED.2015.7158800","DOIUrl":"https://doi.org/10.1109/MED.2015.7158800","url":null,"abstract":"This paper presents an application of sliding mode controllers obtained via amplified linear quadratic regulator (ALQR) strategy to a hover with three degrees of freedom. The purpose of the designed control system is to track reference trajectories and ensure performance and stability in spite of disturbance, noise and unmodeled dynamics. Simulations were performed using MATLAB/Simulink in order to verify/compare the performance of the nonlinear controllers proposed. For validation of the algorithm a didactic plant (3DOF Hover) was chosen produced by Quanser Consulting, that simulates typical behaviors of an VTOL (“vertical taking-off landing”) aircraft, also known as X4-flyer. The dynamic of the hover can be described by a 6th order model taking as state variables the angles of yaw, pitch, roll and associated rates. The experiments showed that designed nonlinear controllers using sliding mode control via ALQR are robust to noises and for a range of unmodeled nonlinearities.","PeriodicalId":316642,"journal":{"name":"2015 23rd Mediterranean Conference on Control and Automation (MED)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132566739","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 : 2015-06-16DOI: 10.1109/MED.2015.7158742
E. Iáñez, Á. Costa, E. Ceseracciu, Ester Marquez-Sanchez, Elisa Pinuela-Martin, G. A. Prieto, A. J. D. Ama, Á. Gil-Agudo, M. Reggiani, José Luis Pons Rovira, J. Moreno, J. Azorín
In this paper, an architecture that allows the synchronized recording of cerebral, muscular and biomechanical data during lower limb activities has been designed. The synchronization issue has been addressed. The goal is to analyze the relationship between the different signals, first during simple lower limbs movements, then extending the analysis to gait. Five incomplete spinal cord injury patients and four healthy users participated in experiments to validate the architecture. The users were asked to perform simple movements that involve only one or two joints, particularly knee and ankle. Future studies with the recorded data will address several issues, such as creating neuromusculoskeletal models that relate kinematics data with EMG information, improving the decoding of the angles of the lower limb through EEG signals, or analyzing the coherence between the EEG signals and the EMG information.
{"title":"Experimental architecture for synchronized recordings of cerebral, muscular and biomechanical data during lower limb activities","authors":"E. Iáñez, Á. Costa, E. Ceseracciu, Ester Marquez-Sanchez, Elisa Pinuela-Martin, G. A. Prieto, A. J. D. Ama, Á. Gil-Agudo, M. Reggiani, José Luis Pons Rovira, J. Moreno, J. Azorín","doi":"10.1109/MED.2015.7158742","DOIUrl":"https://doi.org/10.1109/MED.2015.7158742","url":null,"abstract":"In this paper, an architecture that allows the synchronized recording of cerebral, muscular and biomechanical data during lower limb activities has been designed. The synchronization issue has been addressed. The goal is to analyze the relationship between the different signals, first during simple lower limbs movements, then extending the analysis to gait. Five incomplete spinal cord injury patients and four healthy users participated in experiments to validate the architecture. The users were asked to perform simple movements that involve only one or two joints, particularly knee and ankle. Future studies with the recorded data will address several issues, such as creating neuromusculoskeletal models that relate kinematics data with EMG information, improving the decoding of the angles of the lower limb through EEG signals, or analyzing the coherence between the EEG signals and the EMG information.","PeriodicalId":316642,"journal":{"name":"2015 23rd Mediterranean Conference on Control and Automation (MED)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117310989","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 : 2015-06-16DOI: 10.1109/MED.2015.7158771
M. E. Morsy, G. Achtenova
The faulty vibration signals generally represent a combination of source and transmission path effects. For example, internal forces in vehicle gearbox which are the source of vibration act on a structure whose properties may be described by a frequency response function between the point of application and the point of measurements. A conventional frequency analysis of a spectrum will have transmission path effects affecting the true source signature and also cannot pinpoint the defects accurately where the problem is associated with more than one sideband and harmonic in case of vehicle gearbox. In the present paper, the transmission path effects are additive and can be separated in autocorrelation and cepstrum analyses, also it gives an accurate detection of periodic structure in a spectrum associated with many harmonics and sidebands as a single component for each family of sidebands without any difficulty in interpreting the sideband structure like in spectrum. The test stand is equipped with two dynamometers; the input dynamometer serves as internal combustion engine, the output dynamometer introduces the load on the flange of output joint shaft. An artificial fault is introduced in vehicle gearbox bearing: an orthogonally placed groove on the inner race with the initial width of 0.6 mm approximately. The results show the effectiveness of proposed analyses in diagnosis and detection of the rolling bearing condition.
{"title":"Rolling bearing fault diagnosis techniques - autocorrelation and cepstrum analyses","authors":"M. E. Morsy, G. Achtenova","doi":"10.1109/MED.2015.7158771","DOIUrl":"https://doi.org/10.1109/MED.2015.7158771","url":null,"abstract":"The faulty vibration signals generally represent a combination of source and transmission path effects. For example, internal forces in vehicle gearbox which are the source of vibration act on a structure whose properties may be described by a frequency response function between the point of application and the point of measurements. A conventional frequency analysis of a spectrum will have transmission path effects affecting the true source signature and also cannot pinpoint the defects accurately where the problem is associated with more than one sideband and harmonic in case of vehicle gearbox. In the present paper, the transmission path effects are additive and can be separated in autocorrelation and cepstrum analyses, also it gives an accurate detection of periodic structure in a spectrum associated with many harmonics and sidebands as a single component for each family of sidebands without any difficulty in interpreting the sideband structure like in spectrum. The test stand is equipped with two dynamometers; the input dynamometer serves as internal combustion engine, the output dynamometer introduces the load on the flange of output joint shaft. An artificial fault is introduced in vehicle gearbox bearing: an orthogonally placed groove on the inner race with the initial width of 0.6 mm approximately. The results show the effectiveness of proposed analyses in diagnosis and detection of the rolling bearing condition.","PeriodicalId":316642,"journal":{"name":"2015 23rd Mediterranean Conference on Control and Automation (MED)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116586853","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 : 2015-06-16DOI: 10.1109/MED.2015.7158877
R. Sanz, P. Garcia, Qing-Chang Zhong, P. Albertos
Disturbances and uncertainties make very difficult the control of Unmanned Aerial Vehicles (UAV). The problem is even worse, if delays are involved in the process. The uncertainty and disturbance estimator (UDE) is a technique based on the idea that the unknown dynamics and disturbances of a system can be accurately approximated by passing them through a filter with the appropriate bandwidth. This makes it very easy to design and tune a controller to deal with uncertainties and disturbances. But this solution is very sensitive to time delays. In this paper, this strategy is further developed for systems with measurement delays and hence the range of systems for which it can be applied is broadened.
{"title":"Control of disturbed systems with measurement delays: Application to quadrotor vehicles","authors":"R. Sanz, P. Garcia, Qing-Chang Zhong, P. Albertos","doi":"10.1109/MED.2015.7158877","DOIUrl":"https://doi.org/10.1109/MED.2015.7158877","url":null,"abstract":"Disturbances and uncertainties make very difficult the control of Unmanned Aerial Vehicles (UAV). The problem is even worse, if delays are involved in the process. The uncertainty and disturbance estimator (UDE) is a technique based on the idea that the unknown dynamics and disturbances of a system can be accurately approximated by passing them through a filter with the appropriate bandwidth. This makes it very easy to design and tune a controller to deal with uncertainties and disturbances. But this solution is very sensitive to time delays. In this paper, this strategy is further developed for systems with measurement delays and hence the range of systems for which it can be applied is broadened.","PeriodicalId":316642,"journal":{"name":"2015 23rd Mediterranean Conference on Control and Automation (MED)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116928585","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 : 2015-06-16DOI: 10.1109/MED.2015.7158857
Kristoffer Rist Skoien, M. Alver, J. A. Alfredsen
This paper presents a combined robotic and external ballistic model to predict the feed pellet distribution pattern across the water surface generated by a pneumatic rotary feed spreader commonly used in sea cage aquaculture. Results from experimental studies have been used to parameterize and validate the model. The model can be applied to evaluate spreader performance under varying operational conditions as well as exploring alternative spreader designs and configurations in order to optimize pellet distribution and feed utilization with respect to fish growth and welfare.
{"title":"Modelling spatial surface pellet distribution from rotary pneumatic feed spreaders","authors":"Kristoffer Rist Skoien, M. Alver, J. A. Alfredsen","doi":"10.1109/MED.2015.7158857","DOIUrl":"https://doi.org/10.1109/MED.2015.7158857","url":null,"abstract":"This paper presents a combined robotic and external ballistic model to predict the feed pellet distribution pattern across the water surface generated by a pneumatic rotary feed spreader commonly used in sea cage aquaculture. Results from experimental studies have been used to parameterize and validate the model. The model can be applied to evaluate spreader performance under varying operational conditions as well as exploring alternative spreader designs and configurations in order to optimize pellet distribution and feed utilization with respect to fish growth and welfare.","PeriodicalId":316642,"journal":{"name":"2015 23rd Mediterranean Conference on Control and Automation (MED)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114808611","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 : 2015-06-16DOI: 10.1109/MED.2015.7158850
Qi Liu, A. Ibeas, R. Vilanova
Wastewater treatment plants (WWTPs) are highly complex systems. Therefore, it is difficult to predict the key parameters of water quality. Researches show that feed-forward neural networks have strong ability to approximate nonlinear functions. In order to predict the parameters of water quality, this paper proposes a modeling method by using artificial neural networks to predict the effluent quantity, including the concentration of chemical oxygen demand, biological oxygen demand and total suspended solid. The appropriate architecture of ANN models is determined through several steps of training and testing of the model. The performance of the artificial neural network model was assessed through the correlation coefficient (R) and mean square error (MSE). The results demonstrate that the proposed modeling method is effective and useful.
{"title":"Neural network identification of wastewater treatment plants","authors":"Qi Liu, A. Ibeas, R. Vilanova","doi":"10.1109/MED.2015.7158850","DOIUrl":"https://doi.org/10.1109/MED.2015.7158850","url":null,"abstract":"Wastewater treatment plants (WWTPs) are highly complex systems. Therefore, it is difficult to predict the key parameters of water quality. Researches show that feed-forward neural networks have strong ability to approximate nonlinear functions. In order to predict the parameters of water quality, this paper proposes a modeling method by using artificial neural networks to predict the effluent quantity, including the concentration of chemical oxygen demand, biological oxygen demand and total suspended solid. The appropriate architecture of ANN models is determined through several steps of training and testing of the model. The performance of the artificial neural network model was assessed through the correlation coefficient (R) and mean square error (MSE). The results demonstrate that the proposed modeling method is effective and useful.","PeriodicalId":316642,"journal":{"name":"2015 23rd Mediterranean Conference on Control and Automation (MED)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115117320","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 : 2015-06-16DOI: 10.1109/MED.2015.7158895
L. R. Celsi, S. Battilotti, Federico Cimorelli, C. Giorgi, S. Monaco, M. Panfili, V. Suraci, F. D. Priscoli
The paper describes an innovative and fully cognitive approach which offers the opportunity to cope with some key limitations of the present telecommunication networks by means of the introduction of a novel architecture design in the perspective of the emerging Future Internet framework. Within this architecture, the Quality of Experience (QoE) Management functionalities are aimed at approaching the desired QoE level of the applications by dynamically selecting the most appropriate Class of Service supported by the network. In the present work, this selection is driven by an optimal and adaptive control strategy based on the renowned Q-Learning algorithm. The proposed dynamic approach differs from the traffic classification approaches found in the literature, where a static assignment of Classes of Service to applications is performed.
{"title":"A Q-Learning based approach to Quality of Experience control in cognitive Future Internet networks","authors":"L. R. Celsi, S. Battilotti, Federico Cimorelli, C. Giorgi, S. Monaco, M. Panfili, V. Suraci, F. D. Priscoli","doi":"10.1109/MED.2015.7158895","DOIUrl":"https://doi.org/10.1109/MED.2015.7158895","url":null,"abstract":"The paper describes an innovative and fully cognitive approach which offers the opportunity to cope with some key limitations of the present telecommunication networks by means of the introduction of a novel architecture design in the perspective of the emerging Future Internet framework. Within this architecture, the Quality of Experience (QoE) Management functionalities are aimed at approaching the desired QoE level of the applications by dynamically selecting the most appropriate Class of Service supported by the network. In the present work, this selection is driven by an optimal and adaptive control strategy based on the renowned Q-Learning algorithm. The proposed dynamic approach differs from the traffic classification approaches found in the literature, where a static assignment of Classes of Service to applications is performed.","PeriodicalId":316642,"journal":{"name":"2015 23rd Mediterranean Conference on Control and Automation (MED)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115372983","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 : 2015-06-16DOI: 10.1109/MED.2015.7158793
Raffaele Gambuti, S. Canale, F. Facchinei, Andrea Lanna, A. Giorgio
This paper presents a strategy for multi-modal trip planning integrating the management of fully electric vehicle range and charging services along the trip. The network graph is modelled as the superposition of layers representing different transportation means and charging infrastructure, putting in evidence the interaction between the transportation and electricity distribution grids. The presence of energy constraints on the network nodes implies to formalize the trip planning problem as a resource constrained shortest path problem, and solve it through an ad-hoc decomposition strategy. The proposed approach is validated through the simulation of realistic test cases, showing its effectiveness and potential in satisfying complex user preferences, mitigating drivers perception about limited vehicle range and availability of charging infrastructure, smoothing the impact of massive fully electric vehicle charging on distribution grids.
{"title":"Electric vehicle trip planning integrating range constraints and charging facilities","authors":"Raffaele Gambuti, S. Canale, F. Facchinei, Andrea Lanna, A. Giorgio","doi":"10.1109/MED.2015.7158793","DOIUrl":"https://doi.org/10.1109/MED.2015.7158793","url":null,"abstract":"This paper presents a strategy for multi-modal trip planning integrating the management of fully electric vehicle range and charging services along the trip. The network graph is modelled as the superposition of layers representing different transportation means and charging infrastructure, putting in evidence the interaction between the transportation and electricity distribution grids. The presence of energy constraints on the network nodes implies to formalize the trip planning problem as a resource constrained shortest path problem, and solve it through an ad-hoc decomposition strategy. The proposed approach is validated through the simulation of realistic test cases, showing its effectiveness and potential in satisfying complex user preferences, mitigating drivers perception about limited vehicle range and availability of charging infrastructure, smoothing the impact of massive fully electric vehicle charging on distribution grids.","PeriodicalId":316642,"journal":{"name":"2015 23rd Mediterranean Conference on Control and Automation (MED)","volume":"111 3S 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123743333","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 : 2015-06-16DOI: 10.1109/MED.2015.7158728
D. Caiado, J. M. Lemos, J. M. Igreja
This article addresses the problem of designing an LPV controller for a water delivery canal based on reduced complexity linear models with a priori chosen order. For that sake, by applying a method based on the Laplace transform and the linearization of the Saint-Venant equations, a finite dimensional rational transfer function is obtained for each canal reach. An LPV gain-scheduling controller that relies on H∞ optimization is then designed for local upstream canal control. The scheduling variables are the inlet canal flow and the downstream-reach mean level. The uncertainty bound is computed on the basis of the high frequency error of the frequency response of the model used with respect to the one of the infinite-dimensional model by linearizing the Sain-Venant equations. This approach has the advantage of yielding an LPV controller that relies on a model with specified complexity and to relate model uncertainty to physical canal parameters, allowing operation over an extended envelop of water flow and level equilibria.
{"title":"LPV water delivery canal control based on prescribed order models","authors":"D. Caiado, J. M. Lemos, J. M. Igreja","doi":"10.1109/MED.2015.7158728","DOIUrl":"https://doi.org/10.1109/MED.2015.7158728","url":null,"abstract":"This article addresses the problem of designing an LPV controller for a water delivery canal based on reduced complexity linear models with a priori chosen order. For that sake, by applying a method based on the Laplace transform and the linearization of the Saint-Venant equations, a finite dimensional rational transfer function is obtained for each canal reach. An LPV gain-scheduling controller that relies on H∞ optimization is then designed for local upstream canal control. The scheduling variables are the inlet canal flow and the downstream-reach mean level. The uncertainty bound is computed on the basis of the high frequency error of the frequency response of the model used with respect to the one of the infinite-dimensional model by linearizing the Sain-Venant equations. This approach has the advantage of yielding an LPV controller that relies on a model with specified complexity and to relate model uncertainty to physical canal parameters, allowing operation over an extended envelop of water flow and level equilibria.","PeriodicalId":316642,"journal":{"name":"2015 23rd Mediterranean Conference on Control and Automation (MED)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123839000","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 : 2015-06-16DOI: 10.1109/MED.2015.7158731
W. Borutzky
The paper presents a bond graph model-based approach to active fault tolerant control (FTC) that makes use of residuals of analytical redundancy relations (ARRs). The latter ones are computed in order to decide whether a fault has occurred. Given a single fault hypothesis can be adopted, an advantage is that the time for isolating a fault among potential fault candidates that contribute to an ARR by means of parameter estimation may be saved and as long as ARR residuals are within their thresholds no input reconstruction at all is needed. It is shown that ARR residuals can be used for estimation of faults that can be isolated. ARR based input reconstruction is demonstrated by application to a buck-converter driven DC motor as a simple example of a switched power electronic system for which an averaged bond graph model is used. Scilab simulation runs confirm analytical results. If a required input cannot be determined analytically, it can be obtained by numerically solving a differential-algebraic equations (DAE) system.
{"title":"Bond graph model-based fault accommodation in power electronic systems","authors":"W. Borutzky","doi":"10.1109/MED.2015.7158731","DOIUrl":"https://doi.org/10.1109/MED.2015.7158731","url":null,"abstract":"The paper presents a bond graph model-based approach to active fault tolerant control (FTC) that makes use of residuals of analytical redundancy relations (ARRs). The latter ones are computed in order to decide whether a fault has occurred. Given a single fault hypothesis can be adopted, an advantage is that the time for isolating a fault among potential fault candidates that contribute to an ARR by means of parameter estimation may be saved and as long as ARR residuals are within their thresholds no input reconstruction at all is needed. It is shown that ARR residuals can be used for estimation of faults that can be isolated. ARR based input reconstruction is demonstrated by application to a buck-converter driven DC motor as a simple example of a switched power electronic system for which an averaged bond graph model is used. Scilab simulation runs confirm analytical results. If a required input cannot be determined analytically, it can be obtained by numerically solving a differential-algebraic equations (DAE) system.","PeriodicalId":316642,"journal":{"name":"2015 23rd Mediterranean Conference on Control and Automation (MED)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128581373","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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