Pub Date : 2014-10-02DOI: 10.1109/control.2014.6915201
M. Mirzapour, T. Mei
This paper studies a model-based approach for the condition monitoring of an actively controlled railway system, with a focus on actuator failures to detect and isolate failure modes in such a system. It seeks to establish the necessary basis for fault detection to ensure system reliability in the event of an abnormal change in one of the two actuators. Computer simulation is used to demonstrate the effectiveness of the method.
{"title":"Detection and isolation of actuator failure for actively controlled railway wheelsets","authors":"M. Mirzapour, T. Mei","doi":"10.1109/control.2014.6915201","DOIUrl":"https://doi.org/10.1109/control.2014.6915201","url":null,"abstract":"This paper studies a model-based approach for the condition monitoring of an actively controlled railway system, with a focus on actuator failures to detect and isolate failure modes in such a system. It seeks to establish the necessary basis for fault detection to ensure system reliability in the event of an abnormal change in one of the two actuators. Computer simulation is used to demonstrate the effectiveness of the method.","PeriodicalId":269044,"journal":{"name":"2014 UKACC International Conference on Control (CONTROL)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123628868","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 : 2014-10-02DOI: 10.1109/CONTROL.2014.6915175
Varun Krishna Balakrishnnan, S. Longo, E. Velenis, P. Barber
This paper conducts an investigation on whether vehicle dynamic states such as pitch, roll, yaw, and particularly sideslip, can be estimated using limited and inexpensive automotive-grade sensors without the use of model based estimators (parameter free). First, multiple sensors and combinations of these sensors are evaluated for the purpose of estimating vehicle states with different levels of accuracy. Second, experimental tests are carried out on a purpose built vehicle. As most commercial vehicles come equipped with an Accelerometer and Gyroscope (INS), we use this sensor combination along with a single antenna GPS receiver for our tests. The state estimation algorithms for the given sensor combination are implemented in a dSPACE MicroAutoBox that allows real-time computation. The test vehicle is a high-power radio-controlled car, which also carries a commercial data logger that is used to set a benchmark for the estimated states.
{"title":"Sensor configurations and testbed for vehicle state estimation","authors":"Varun Krishna Balakrishnnan, S. Longo, E. Velenis, P. Barber","doi":"10.1109/CONTROL.2014.6915175","DOIUrl":"https://doi.org/10.1109/CONTROL.2014.6915175","url":null,"abstract":"This paper conducts an investigation on whether vehicle dynamic states such as pitch, roll, yaw, and particularly sideslip, can be estimated using limited and inexpensive automotive-grade sensors without the use of model based estimators (parameter free). First, multiple sensors and combinations of these sensors are evaluated for the purpose of estimating vehicle states with different levels of accuracy. Second, experimental tests are carried out on a purpose built vehicle. As most commercial vehicles come equipped with an Accelerometer and Gyroscope (INS), we use this sensor combination along with a single antenna GPS receiver for our tests. The state estimation algorithms for the given sensor combination are implemented in a dSPACE MicroAutoBox that allows real-time computation. The test vehicle is a high-power radio-controlled car, which also carries a commercial data logger that is used to set a benchmark for the estimated states.","PeriodicalId":269044,"journal":{"name":"2014 UKACC International Conference on Control (CONTROL)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115017052","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 : 2014-07-09DOI: 10.1109/CONTROL.2014.6915131
Jing Chen, Qingdong Li, Cunjia Liu, Z. Ren, Chen Bai
This paper discusses a guaranteed cost control problem of an uncertain impulsive switched system with nonlinear disturbances. The contribution of this study is to extend guaranteed cost control from traditional systems to uncertain impulsive switched systems with nonlinear disturbances. Firstly, an uncertain impulsive switched system with nonlinear disturbances is stated and some important definitions are given. Secondly, the stability of the closed-loop uncertain impulsive switched system with a linear quadratic guaranteed cost control law is proved and the upper boundary of performance cost is discussed. Especially, different from traditional stability analysis of impulsive switched systems without disturbances, above conclusions are given under a nonlinear disturbance. Thirdly, Linear Matrix Inequality (LMI) formulation is utilized to design the optimal guaranteed cost control law of the uncertain impulsive switched system. Finally, simulations are carried on to demonstrate the proposed algorithm.
{"title":"Guaranteed cost control of uncertain impulsive switched systems with nonlinear disturbances","authors":"Jing Chen, Qingdong Li, Cunjia Liu, Z. Ren, Chen Bai","doi":"10.1109/CONTROL.2014.6915131","DOIUrl":"https://doi.org/10.1109/CONTROL.2014.6915131","url":null,"abstract":"This paper discusses a guaranteed cost control problem of an uncertain impulsive switched system with nonlinear disturbances. The contribution of this study is to extend guaranteed cost control from traditional systems to uncertain impulsive switched systems with nonlinear disturbances. Firstly, an uncertain impulsive switched system with nonlinear disturbances is stated and some important definitions are given. Secondly, the stability of the closed-loop uncertain impulsive switched system with a linear quadratic guaranteed cost control law is proved and the upper boundary of performance cost is discussed. Especially, different from traditional stability analysis of impulsive switched systems without disturbances, above conclusions are given under a nonlinear disturbance. Thirdly, Linear Matrix Inequality (LMI) formulation is utilized to design the optimal guaranteed cost control law of the uncertain impulsive switched system. Finally, simulations are carried on to demonstrate the proposed algorithm.","PeriodicalId":269044,"journal":{"name":"2014 UKACC International Conference on Control (CONTROL)","volume":"400 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116680886","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 : 2014-07-09DOI: 10.1109/CONTROL.2014.6915153
R. Mitchell
A MATLAB GUI is presented which is used to help students learn to design controllers in the frequency domain. It complements the author's two previous GUIs for plotting and identification of systems in the frequency domain. It also incorporates the concept used in the “electronic calculator that makes students think” to assist learning. Positive student feedback affirms that the GUI has helped their understanding.
{"title":"A MATLAB GUI for learning controller design in the frequency domain","authors":"R. Mitchell","doi":"10.1109/CONTROL.2014.6915153","DOIUrl":"https://doi.org/10.1109/CONTROL.2014.6915153","url":null,"abstract":"A MATLAB GUI is presented which is used to help students learn to design controllers in the frequency domain. It complements the author's two previous GUIs for plotting and identification of systems in the frequency domain. It also incorporates the concept used in the “electronic calculator that makes students think” to assist learning. Positive student feedback affirms that the GUI has helped their understanding.","PeriodicalId":269044,"journal":{"name":"2014 UKACC International Conference on Control (CONTROL)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127330324","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 : 2014-07-09DOI: 10.1109/CONTROL.2014.6915140
S. Elmetennani, T. Laleg‐Kirati
This paper deals with the control of concentrating parabolic solar collectors by forcing the outlet oil temperature to track a set reference. A fuzzy universal approximate model is introduced in order to accurately reproduce the behavior of the system dynamics. The proposed model is a low order state space representation derived from the partial differential equation describing the oil temperature evolution using fuzzy transform theory. The resulting set of ordinary differential equations simplifies the system analysis and the control law design and is suitable for real time control implementation. Simulation results show good performance of the proposed model.
{"title":"Fuzzy universal model approximator for distributed solar collector field control","authors":"S. Elmetennani, T. Laleg‐Kirati","doi":"10.1109/CONTROL.2014.6915140","DOIUrl":"https://doi.org/10.1109/CONTROL.2014.6915140","url":null,"abstract":"This paper deals with the control of concentrating parabolic solar collectors by forcing the outlet oil temperature to track a set reference. A fuzzy universal approximate model is introduced in order to accurately reproduce the behavior of the system dynamics. The proposed model is a low order state space representation derived from the partial differential equation describing the oil temperature evolution using fuzzy transform theory. The resulting set of ordinary differential equations simplifies the system analysis and the control law design and is suitable for real time control implementation. Simulation results show good performance of the proposed model.","PeriodicalId":269044,"journal":{"name":"2014 UKACC International Conference on Control (CONTROL)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121894080","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 : 2014-07-09DOI: 10.1109/CONTROL.2014.6915178
Cristóbal Ruiz Cárcel, Yi Cao, D. Mba
The early detection and diagnosis of faults can improve the energy efficiency of industrial processes by avoiding the inefficient operation of faulty equipment as well as minimizing unplanned shutdowns, downtime and extensive damage to other parts of the system. In addition, industrial needs are evolving fast towards more flexible schemes. As a consequence, it is often required to adapt the plant production to the demand, which can be volatile depending on the application. This is why it is important to develop tools that can monitor the condition of the process working under varying operational conditions. Canonical Variate Analysis (CVA) is a multivariate data driven methodology that can be applied to detect and diagnose faults in industrial systems. This method has the ability to capture the process dynamics more efficiently than other similar data driven algorithms. The aim of this work is to provide a benchmark case to demonstrate the ability of CVA to detect and diagnose artificially seeded faults in a large scale test rig and measure the impact of those faults on the system performance, in particular its energy efficiency. The results obtained suggest that CVA can be effectively used for fault detection using real process data. The faults introduced were successfully detected in the early stages of degradation, and the source of the faults was identified using contribution plots.
{"title":"A benchmark of Canonical Variate Analysis for fault detection and diagnosis","authors":"Cristóbal Ruiz Cárcel, Yi Cao, D. Mba","doi":"10.1109/CONTROL.2014.6915178","DOIUrl":"https://doi.org/10.1109/CONTROL.2014.6915178","url":null,"abstract":"The early detection and diagnosis of faults can improve the energy efficiency of industrial processes by avoiding the inefficient operation of faulty equipment as well as minimizing unplanned shutdowns, downtime and extensive damage to other parts of the system. In addition, industrial needs are evolving fast towards more flexible schemes. As a consequence, it is often required to adapt the plant production to the demand, which can be volatile depending on the application. This is why it is important to develop tools that can monitor the condition of the process working under varying operational conditions. Canonical Variate Analysis (CVA) is a multivariate data driven methodology that can be applied to detect and diagnose faults in industrial systems. This method has the ability to capture the process dynamics more efficiently than other similar data driven algorithms. The aim of this work is to provide a benchmark case to demonstrate the ability of CVA to detect and diagnose artificially seeded faults in a large scale test rig and measure the impact of those faults on the system performance, in particular its energy efficiency. The results obtained suggest that CVA can be effectively used for fault detection using real process data. The faults introduced were successfully detected in the early stages of degradation, and the source of the faults was identified using contribution plots.","PeriodicalId":269044,"journal":{"name":"2014 UKACC International Conference on Control (CONTROL)","volume":"24 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128400035","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 : 2014-07-09DOI: 10.1109/CONTROL.2014.6915220
W. Lio, J. Rossiter, B. Jones
This paper aims to give an overview of the recent development and benefits of model predictive control in wind turbines and its future potential. For a modern large wind turbine, the main objective of control is to maximise the power production while maintaining the fatigue loads to be minimal. With such multiple objectives, a multivariable system and actuators constraints the popular PI controller may become ineffective or hard to tune whereas MPC provides a systematic approach for designing a multivariable controller incorporating the knowledge of actuator constraints. This paper reviews the wind turbine control problem and in particular gives a survey of the use of model predictive control on wind turbines.
{"title":"A review on applications of model predictive control to wind turbines","authors":"W. Lio, J. Rossiter, B. Jones","doi":"10.1109/CONTROL.2014.6915220","DOIUrl":"https://doi.org/10.1109/CONTROL.2014.6915220","url":null,"abstract":"This paper aims to give an overview of the recent development and benefits of model predictive control in wind turbines and its future potential. For a modern large wind turbine, the main objective of control is to maximise the power production while maintaining the fatigue loads to be minimal. With such multiple objectives, a multivariable system and actuators constraints the popular PI controller may become ineffective or hard to tune whereas MPC provides a systematic approach for designing a multivariable controller incorporating the knowledge of actuator constraints. This paper reviews the wind turbine control problem and in particular gives a survey of the use of model predictive control on wind turbines.","PeriodicalId":269044,"journal":{"name":"2014 UKACC International Conference on Control (CONTROL)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129080136","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 : 2014-07-09DOI: 10.1109/CONTROL.2014.6915158
R. I. Abdul Jalal, T. Steffen, A. Williams
Tight future CO2 emission targets have encouraged extensive research in options for improving internal combustion engine efficiency. Amongst those, engine thermal management is a promising area to improve fuel economy, engine power and even reliability. Earlier studies have shown that engine thermal management was not just protecting engine from overheating but it also can improve engine performance, fuel consumption and even emissions. However, the effects and limits of thermal management are highly complex, and a better understanding is required to reach the full potential. The aim of this paper is to demonstrate the potential of manipulating combustion wall temperature for improving engine efficiency. A 1D numerical model of a 2.2L natural aspirated engine was developed using GT-Suite software for this purpose. The spark timing and fuelling in the engine model was also recalibrated to explore the indirect influence of thermal management influence on engine efficiency. The model assumes that the optimal temperature can be achieved at all times, ignoring some of the control implementation issues for now. The results show that optimized combustion wall temperature produces significant fuel consumption improvements at low to medium engine speed at both low and high load. The comparison with conventional temperature control was made using 7 legislated and academic test cycles. The highest fuel economy improvement of about 4% was recorded in urban test cycles. A smaller improvement of more than 2% was found for motorway driving. The results are due to improved combustion and lubrication only, not including reduced hydraulic losses.
{"title":"SI engine combustion wall thermal management potential without the presence of control limitation","authors":"R. I. Abdul Jalal, T. Steffen, A. Williams","doi":"10.1109/CONTROL.2014.6915158","DOIUrl":"https://doi.org/10.1109/CONTROL.2014.6915158","url":null,"abstract":"Tight future CO2 emission targets have encouraged extensive research in options for improving internal combustion engine efficiency. Amongst those, engine thermal management is a promising area to improve fuel economy, engine power and even reliability. Earlier studies have shown that engine thermal management was not just protecting engine from overheating but it also can improve engine performance, fuel consumption and even emissions. However, the effects and limits of thermal management are highly complex, and a better understanding is required to reach the full potential. The aim of this paper is to demonstrate the potential of manipulating combustion wall temperature for improving engine efficiency. A 1D numerical model of a 2.2L natural aspirated engine was developed using GT-Suite software for this purpose. The spark timing and fuelling in the engine model was also recalibrated to explore the indirect influence of thermal management influence on engine efficiency. The model assumes that the optimal temperature can be achieved at all times, ignoring some of the control implementation issues for now. The results show that optimized combustion wall temperature produces significant fuel consumption improvements at low to medium engine speed at both low and high load. The comparison with conventional temperature control was made using 7 legislated and academic test cycles. The highest fuel economy improvement of about 4% was recorded in urban test cycles. A smaller improvement of more than 2% was found for motorway driving. The results are due to improved combustion and lubrication only, not including reduced hydraulic losses.","PeriodicalId":269044,"journal":{"name":"2014 UKACC International Conference on Control (CONTROL)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130598419","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 : 2014-07-09DOI: 10.1109/CONTROL.2014.6915219
Jian Sun, Jing Chen, L. Dou
The problem of controller design for linear systems with unknown communication delay is investigated in this paper. A control scheme is proposed to deal with the unknown communication delay on the basis of networked predictive control method. By considering an important property of communication delay, the closed-loop system is modeled as a switched system under constraint switching By using switched Lyapunov function approach, a sufficient stability condition is derived. How to choose an important parameter in the control law is also considered. Finally, two numerical examples are given to illustrate the effectiveness of the proposed method.
{"title":"Networked predictive control for linear systems with unknown communication delay","authors":"Jian Sun, Jing Chen, L. Dou","doi":"10.1109/CONTROL.2014.6915219","DOIUrl":"https://doi.org/10.1109/CONTROL.2014.6915219","url":null,"abstract":"The problem of controller design for linear systems with unknown communication delay is investigated in this paper. A control scheme is proposed to deal with the unknown communication delay on the basis of networked predictive control method. By considering an important property of communication delay, the closed-loop system is modeled as a switched system under constraint switching By using switched Lyapunov function approach, a sufficient stability condition is derived. How to choose an important parameter in the control law is also considered. Finally, two numerical examples are given to illustrate the effectiveness of the proposed method.","PeriodicalId":269044,"journal":{"name":"2014 UKACC International Conference on Control (CONTROL)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127703162","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 : 2014-07-09DOI: 10.1109/CONTROL.2014.6915194
Dongyun Wang, Qiang Zhang, Aihui Wang
In this article, a robust nonlinear tracking control design for ionic polymer metal composite (IPMC) with uncertainties is presented by using particle swarm optimization (PSO) based sliding mode approach. In detail, for a nonlinear dynamic model with uncertainties, an IPMC artificial muscles position tracking control system based on sliding mode control approach is presented, where, a saturation function is used in the sliding mode control law design to suppress chattering, and the control parameters of sliding mode control are optimized by using particle swarm optimization to obtain quick convergence. The robust stability can be guaranteed. Finally, the effectiveness of the proposed method is confirmed by simulation results.
{"title":"Robust nonlinear control design for ionic polymer metal composite based on sliding mode approach","authors":"Dongyun Wang, Qiang Zhang, Aihui Wang","doi":"10.1109/CONTROL.2014.6915194","DOIUrl":"https://doi.org/10.1109/CONTROL.2014.6915194","url":null,"abstract":"In this article, a robust nonlinear tracking control design for ionic polymer metal composite (IPMC) with uncertainties is presented by using particle swarm optimization (PSO) based sliding mode approach. In detail, for a nonlinear dynamic model with uncertainties, an IPMC artificial muscles position tracking control system based on sliding mode control approach is presented, where, a saturation function is used in the sliding mode control law design to suppress chattering, and the control parameters of sliding mode control are optimized by using particle swarm optimization to obtain quick convergence. The robust stability can be guaranteed. Finally, the effectiveness of the proposed method is confirmed by simulation results.","PeriodicalId":269044,"journal":{"name":"2014 UKACC International Conference on Control (CONTROL)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127961921","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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