Pub Date : 2014-12-11DOI: 10.1109/CCA.2014.6981401
J. Maree, L. Imsland
Gas coning, which can lead to gas breakthrough in thin oil-rim reservoir fields, may deteriorate economics in oil production. This work reports on optimal control policies to be considered for short-term oil production optimization under gas coning conditions. These policies, incorporating an oil-rate dependent Gas-Oil ratio model, are formulated as an optimal control problem which optimize the oil production rate, subject to gas processing capacity constraints. The result thereof is implemented in a closed-loop receding horizon control policy. Control philosophies investigated for increased oil production optimization include cyclic oil production shut-in at the vicinity of gas breakthrough (limiting the economic-deteriorating effects of excessive gas production, given gas processing constraints), and, steady oil production at-or after- the point of gas breakthrough. Near-well gas coning analysis reveals that gas coning dynamics may indicate which control philosophy (cyclic or steady oil production after process transients) may be optimal during closed-loop process operation.
{"title":"Optimal control strategies for oil production under gas coning conditions","authors":"J. Maree, L. Imsland","doi":"10.1109/CCA.2014.6981401","DOIUrl":"https://doi.org/10.1109/CCA.2014.6981401","url":null,"abstract":"Gas coning, which can lead to gas breakthrough in thin oil-rim reservoir fields, may deteriorate economics in oil production. This work reports on optimal control policies to be considered for short-term oil production optimization under gas coning conditions. These policies, incorporating an oil-rate dependent Gas-Oil ratio model, are formulated as an optimal control problem which optimize the oil production rate, subject to gas processing capacity constraints. The result thereof is implemented in a closed-loop receding horizon control policy. Control philosophies investigated for increased oil production optimization include cyclic oil production shut-in at the vicinity of gas breakthrough (limiting the economic-deteriorating effects of excessive gas production, given gas processing constraints), and, steady oil production at-or after- the point of gas breakthrough. Near-well gas coning analysis reveals that gas coning dynamics may indicate which control philosophy (cyclic or steady oil production after process transients) may be optimal during closed-loop process operation.","PeriodicalId":205599,"journal":{"name":"2014 IEEE Conference on Control Applications (CCA)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116532821","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 : 2014-12-11DOI: 10.1109/CCA.2014.6981464
K. Rudin, G. Ducard, R. Siegwart
This paper presents a new scheme for sensor fault detection and isolation. It uses a single Kalman filter and a Gaussian hidden Markov model for each of the monitored sensors. This combination is able to simultaneously detect single and multiple sensor faults, still guaranteeing optimal system state estimation. This algorithm also can run on systems with limited computational power. The efficiency of the approach is evaluated through simulation of an aircraft to detect airspeed and GPS sensor faults. The results show fast fault detection and low false-alarm rate.
{"title":"A sensor fault detection for aircraft using a single Kalman filter and hidden Markov models","authors":"K. Rudin, G. Ducard, R. Siegwart","doi":"10.1109/CCA.2014.6981464","DOIUrl":"https://doi.org/10.1109/CCA.2014.6981464","url":null,"abstract":"This paper presents a new scheme for sensor fault detection and isolation. It uses a single Kalman filter and a Gaussian hidden Markov model for each of the monitored sensors. This combination is able to simultaneously detect single and multiple sensor faults, still guaranteeing optimal system state estimation. This algorithm also can run on systems with limited computational power. The efficiency of the approach is evaluated through simulation of an aircraft to detect airspeed and GPS sensor faults. The results show fast fault detection and low false-alarm rate.","PeriodicalId":205599,"journal":{"name":"2014 IEEE Conference on Control Applications (CCA)","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122386879","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 : 2014-12-11DOI: 10.1109/CCA.2014.6981580
S. Subramanian, S. Lucia, S. Engell
Nonlinear Model Predictive control is one of the most promising control strategies in the field of advanced control. It can be used to optimize economic cost functions online satisfying all constraints which makes it very appealing in the context of industrial applications. In the last years, several robust NMPC methods have been presented. Among them, multi-stage stochastic NMPC has been proven to provide very promising results and to be computationally feasible by the use of advanced optimization tools. In this paper, we present an extension of the multi-stage approach that takes into account explicitly not only plant-model mismatch but also state estimation error through innovation sampling. We accommodate these errors into the resulting optimization problem by including them in the scenario tree formulation. We use a multiple-model estimation algorithm that fits to the multi-stage approach. The results are illustrated by simulation results of a chemical reactor.
{"title":"Economic multi-stage output nonlinear model predictive control","authors":"S. Subramanian, S. Lucia, S. Engell","doi":"10.1109/CCA.2014.6981580","DOIUrl":"https://doi.org/10.1109/CCA.2014.6981580","url":null,"abstract":"Nonlinear Model Predictive control is one of the most promising control strategies in the field of advanced control. It can be used to optimize economic cost functions online satisfying all constraints which makes it very appealing in the context of industrial applications. In the last years, several robust NMPC methods have been presented. Among them, multi-stage stochastic NMPC has been proven to provide very promising results and to be computationally feasible by the use of advanced optimization tools. In this paper, we present an extension of the multi-stage approach that takes into account explicitly not only plant-model mismatch but also state estimation error through innovation sampling. We accommodate these errors into the resulting optimization problem by including them in the scenario tree formulation. We use a multiple-model estimation algorithm that fits to the multi-stage approach. The results are illustrated by simulation results of a chemical reactor.","PeriodicalId":205599,"journal":{"name":"2014 IEEE Conference on Control Applications (CCA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122497018","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 : 2014-12-11DOI: 10.1109/CCA.2014.6981374
P. Bhowmik, M. Prakash, S. Pradhan
Accurate and reliable fault detection in three phase induction motors is of great importance from economical perspective. This paper deals with the modeling of five different stator faults, viz. Single Phasing, Single line to ground fault, over-voltage, under-voltage and voltage unbalancing. As part of data acquisition, stator phase current values are recorded during healthy condition as well as during various faults. Multiscale Permutation Entropy is introduced to extract the statistical data from the phase current signal. The extracted information is used to train a Time-Delay Neural Network which acts as a fault classifier. The accuracy of prediction and fault classification is ascertained in terms of two statistical parameters namely, Mean Absolute Percentage Error and Root Mean Squared Error. The proposed synergy of Multiscale Permutation Entropy and Time-Delay Neural Network proves to be a highly effective fault diagnosis platform for on-line implementation.
{"title":"A novel neuro-classifier using Multiscale Permutation Entropy for motor fault diagnosis","authors":"P. Bhowmik, M. Prakash, S. Pradhan","doi":"10.1109/CCA.2014.6981374","DOIUrl":"https://doi.org/10.1109/CCA.2014.6981374","url":null,"abstract":"Accurate and reliable fault detection in three phase induction motors is of great importance from economical perspective. This paper deals with the modeling of five different stator faults, viz. Single Phasing, Single line to ground fault, over-voltage, under-voltage and voltage unbalancing. As part of data acquisition, stator phase current values are recorded during healthy condition as well as during various faults. Multiscale Permutation Entropy is introduced to extract the statistical data from the phase current signal. The extracted information is used to train a Time-Delay Neural Network which acts as a fault classifier. The accuracy of prediction and fault classification is ascertained in terms of two statistical parameters namely, Mean Absolute Percentage Error and Root Mean Squared Error. The proposed synergy of Multiscale Permutation Entropy and Time-Delay Neural Network proves to be a highly effective fault diagnosis platform for on-line implementation.","PeriodicalId":205599,"journal":{"name":"2014 IEEE Conference on Control Applications (CCA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129648355","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 : 2014-12-11DOI: 10.1109/CCA.2014.6981507
Keji Higuchi, Hiroki Itaka, Ryota Sakamoto, K. Yano
Activities of daily living, such as handwriting, eating and walking, are necessary activities for everyone. However, some individuals with a disability cannot perform such activities because of involuntary movements. It is particularly difficult to write because writing involves very complex motions. We applied an adaptive involuntary movement attenuation filter to a handwriting support system. We analyzed involuntary movements in patients with cerebral palsy of the adult tension athetosis type. We selected the parameters of the Adaptive Involuntary Behavior Attenuation Filter (AIBAF) by using the characteristics of involuntary movement.
{"title":"Analysis of involuntary movement and development of a writing assistance system for adults with tension athetosis type cerebral palsy","authors":"Keji Higuchi, Hiroki Itaka, Ryota Sakamoto, K. Yano","doi":"10.1109/CCA.2014.6981507","DOIUrl":"https://doi.org/10.1109/CCA.2014.6981507","url":null,"abstract":"Activities of daily living, such as handwriting, eating and walking, are necessary activities for everyone. However, some individuals with a disability cannot perform such activities because of involuntary movements. It is particularly difficult to write because writing involves very complex motions. We applied an adaptive involuntary movement attenuation filter to a handwriting support system. We analyzed involuntary movements in patients with cerebral palsy of the adult tension athetosis type. We selected the parameters of the Adaptive Involuntary Behavior Attenuation Filter (AIBAF) by using the characteristics of involuntary movement.","PeriodicalId":205599,"journal":{"name":"2014 IEEE Conference on Control Applications (CCA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123539212","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 : 2014-12-11DOI: 10.1109/CCA.2014.6981430
Abdel-Razzak Merheb, H. Noura, F. Bateman
In this paper, an emergency controller is developed for AscTec Pelican quadrotor suffering a severe failure in one of its motors or rotors. With one of its motors badly damaged, it is impossible to perform the control of a quadrotor using old control strategies or conventional fault tolerant control techniques. The emergency controller designed in this paper detects online any failure or fault in the quadrotor UAV motors, and whenever a severe fault (one which the Passive Fault Tolerant Sliding Mode Controller of the quadrotor cannot hold) occurs the controller applies some weight modifications so the three remaining motors are used to control the UAV as a trirotor. The controller uses a nonlinear sliding mode observer as Fault Diagnosis and Identification (FDI) unit to detect and estimate the magnitude of the fault online. SIMULINK results show that the proposed controller is fast in fault detection and successful in controlling the damaged quadrotor until it finishes its path.
{"title":"A novel emergency controller for quadrotor UAVs","authors":"Abdel-Razzak Merheb, H. Noura, F. Bateman","doi":"10.1109/CCA.2014.6981430","DOIUrl":"https://doi.org/10.1109/CCA.2014.6981430","url":null,"abstract":"In this paper, an emergency controller is developed for AscTec Pelican quadrotor suffering a severe failure in one of its motors or rotors. With one of its motors badly damaged, it is impossible to perform the control of a quadrotor using old control strategies or conventional fault tolerant control techniques. The emergency controller designed in this paper detects online any failure or fault in the quadrotor UAV motors, and whenever a severe fault (one which the Passive Fault Tolerant Sliding Mode Controller of the quadrotor cannot hold) occurs the controller applies some weight modifications so the three remaining motors are used to control the UAV as a trirotor. The controller uses a nonlinear sliding mode observer as Fault Diagnosis and Identification (FDI) unit to detect and estimate the magnitude of the fault online. SIMULINK results show that the proposed controller is fast in fault detection and successful in controlling the damaged quadrotor until it finishes its path.","PeriodicalId":205599,"journal":{"name":"2014 IEEE Conference on Control Applications (CCA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128051788","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 : 2014-12-11DOI: 10.1109/CCA.2014.6981388
Huu-Phuc Nguyen, J. D. Miras, S. Bonnet, A. Charara
This paper deals with the nonlinear control of the planar vertical takeoff and landing aircraft (PVTOL) using a simple, fast and nonlinear discrete time control approach. The proposed control approach uses an approximate numerical one-step time discretization of the nonlinear plant model behavior obtained from offline simulations. Using that discretization, a control minimizing the distance between the plant output and a reference linear system is computed, leading the system to adopt its dynamical behavior. Since the prediction horizon is limited to one time-step, the execution time of the algorithm can be completely bounded. It can thus easily be implemented and used to control fast electromechanical systems. Experimental results obtained from some simulations show the performance and robustness of the proposed controller.
{"title":"Nonlinear control of the PVTOL aircraft by numerical inversion of its behavioral model","authors":"Huu-Phuc Nguyen, J. D. Miras, S. Bonnet, A. Charara","doi":"10.1109/CCA.2014.6981388","DOIUrl":"https://doi.org/10.1109/CCA.2014.6981388","url":null,"abstract":"This paper deals with the nonlinear control of the planar vertical takeoff and landing aircraft (PVTOL) using a simple, fast and nonlinear discrete time control approach. The proposed control approach uses an approximate numerical one-step time discretization of the nonlinear plant model behavior obtained from offline simulations. Using that discretization, a control minimizing the distance between the plant output and a reference linear system is computed, leading the system to adopt its dynamical behavior. Since the prediction horizon is limited to one time-step, the execution time of the algorithm can be completely bounded. It can thus easily be implemented and used to control fast electromechanical systems. Experimental results obtained from some simulations show the performance and robustness of the proposed controller.","PeriodicalId":205599,"journal":{"name":"2014 IEEE Conference on Control Applications (CCA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121861296","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 : 2014-12-11DOI: 10.1109/CCA.2014.6981581
S. Lucia, Alexandru Tatulea-Codrean, Christian Schoppmeyer, S. Engell
In the last years many research studies have presented simulation or experimental results using Nonlinear Model Predictive Control (NMPC). The computation times needed for the solution of the resulting nonlinear optimization problems are in many cases no longer an obstacle due to the advances in algorithms and computational power. However, NMPC is not yet an industrial reality as its linear counterpart is. Two reasons for this are the lack of good tool support for the development of NMPC solutions and the fact that it is difficult to ensure the robustness of NMPC to plant-model mismatch. In this paper, we address both these issues. The main contribution is the development of an environment for the efficient implementation and testing of NMPC solutions, offering flexibility to test different algorithms and formulations without the need to re-encode the model or the algorithm. In addition, we present and discuss the approach of multi-stage robust NMPC to systematically deal with the robustness issue. The benefits of our approach are illustrated by experimental results on a laboratory plant.
{"title":"An environment for the efficient testing and implementation of robust NMPC","authors":"S. Lucia, Alexandru Tatulea-Codrean, Christian Schoppmeyer, S. Engell","doi":"10.1109/CCA.2014.6981581","DOIUrl":"https://doi.org/10.1109/CCA.2014.6981581","url":null,"abstract":"In the last years many research studies have presented simulation or experimental results using Nonlinear Model Predictive Control (NMPC). The computation times needed for the solution of the resulting nonlinear optimization problems are in many cases no longer an obstacle due to the advances in algorithms and computational power. However, NMPC is not yet an industrial reality as its linear counterpart is. Two reasons for this are the lack of good tool support for the development of NMPC solutions and the fact that it is difficult to ensure the robustness of NMPC to plant-model mismatch. In this paper, we address both these issues. The main contribution is the development of an environment for the efficient implementation and testing of NMPC solutions, offering flexibility to test different algorithms and formulations without the need to re-encode the model or the algorithm. In addition, we present and discuss the approach of multi-stage robust NMPC to systematically deal with the robustness issue. The benefits of our approach are illustrated by experimental results on a laboratory plant.","PeriodicalId":205599,"journal":{"name":"2014 IEEE Conference on Control Applications (CCA)","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115893827","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 : 2014-12-11DOI: 10.1109/CCA.2014.6981591
E. Usik
The problem of synchronization of two nonlinear systems with functional uncertainty, disturbance and a discrete controller is solved. It was shown that in use controller with dynamic quantizer the system solution is asymptotically stable. Estimates of the errors caused by bounded quantizer are given. The results obtained in this article have a real practical application, which is confirmed by the example with the model of motion of vehicles.
{"title":"Passification based synchronization of cascade Lurie systems with quantized signals","authors":"E. Usik","doi":"10.1109/CCA.2014.6981591","DOIUrl":"https://doi.org/10.1109/CCA.2014.6981591","url":null,"abstract":"The problem of synchronization of two nonlinear systems with functional uncertainty, disturbance and a discrete controller is solved. It was shown that in use controller with dynamic quantizer the system solution is asymptotically stable. Estimates of the errors caused by bounded quantizer are given. The results obtained in this article have a real practical application, which is confirmed by the example with the model of motion of vehicles.","PeriodicalId":205599,"journal":{"name":"2014 IEEE Conference on Control Applications (CCA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134197500","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 : 2014-12-11DOI: 10.1109/CCA.2014.6981407
H. Alizadeh, B. Boulet
The aim of this study is to control the synchronizer operation in an automated manual transmission (AMT) in which the clutch is eliminated from the driveline to reduce the power losses. The goal of controlling the synchronization phase is to increase the lifetime of the synchronizer by establishing control over the frictional behaviour of such tribological system. The robust control approach starts by introducing the lubricated friction operating states and follows by modelling the dynamic system as well as the primary uncertainties affecting the synchronization phase. Considering the system uncertainties, a robust H∞ multivariable controller is designed and the closed-loop performance is assessed by considering the noise and disturbance effects. The advantages of the proposed robust controller is discussed and compared with the performance of a PID controller which operates in the same closed-loop control configuration. The case study here is a synchronizer which is part of a 2-speed AMT designed for efficient gear shifting in an electric vehicle, with the purpose of improving the energy efficiency and enhancing the drive motor performance.
{"title":"Robust control of synchromesh friction in an electric vehicle's clutchless automated manual transmission","authors":"H. Alizadeh, B. Boulet","doi":"10.1109/CCA.2014.6981407","DOIUrl":"https://doi.org/10.1109/CCA.2014.6981407","url":null,"abstract":"The aim of this study is to control the synchronizer operation in an automated manual transmission (AMT) in which the clutch is eliminated from the driveline to reduce the power losses. The goal of controlling the synchronization phase is to increase the lifetime of the synchronizer by establishing control over the frictional behaviour of such tribological system. The robust control approach starts by introducing the lubricated friction operating states and follows by modelling the dynamic system as well as the primary uncertainties affecting the synchronization phase. Considering the system uncertainties, a robust H∞ multivariable controller is designed and the closed-loop performance is assessed by considering the noise and disturbance effects. The advantages of the proposed robust controller is discussed and compared with the performance of a PID controller which operates in the same closed-loop control configuration. The case study here is a synchronizer which is part of a 2-speed AMT designed for efficient gear shifting in an electric vehicle, with the purpose of improving the energy efficiency and enhancing the drive motor performance.","PeriodicalId":205599,"journal":{"name":"2014 IEEE Conference on Control Applications (CCA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131549500","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}
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：