Pub Date : 2014-12-15DOI: 10.1109/CDC.2014.7040327
L. Crespo, D. Giesy, S. Kenny
This paper develops techniques for constructing empirical predictor models based on observations. By contrast to standard models, which yield a single predicted output at each value of the model's inputs, Interval Predictors Models (IPM) yield an interval into which the unobserved output is predicted to fall. The IPMs proposed prescribe the output as an interval valued function of the model's inputs, render a formal description of both the uncertainty in the model's parameters and of the spread in the predicted output. Uncertainty is prescribed as a hyper-rectangular set in the space of model's parameters. The propagation of this set through the empirical model yields a range of outputs of minimal spread containing all (or, depending on the formulation, most) of the observations. Optimization-based strategies for calculating IPMs and eliminating the effects of outliers are proposed. Outliers are identified by evaluating the extent by which they degrade the tightness of the prediction. This evaluation can be carried out while the IPM is calculated. When the data satisfies mild stochastic assumptions, and the optimization program used for calculating the IPM is convex (or, when its solution coincides with the solution to an auxiliary convex program), the model's reliability (that is, the probability that a future observation would be within the predicted range of outputs) can be bounded rigorously by a non-asymptotic formula.
{"title":"Interval predictor models with a formal characterization of uncertainty and reliability","authors":"L. Crespo, D. Giesy, S. Kenny","doi":"10.1109/CDC.2014.7040327","DOIUrl":"https://doi.org/10.1109/CDC.2014.7040327","url":null,"abstract":"This paper develops techniques for constructing empirical predictor models based on observations. By contrast to standard models, which yield a single predicted output at each value of the model's inputs, Interval Predictors Models (IPM) yield an interval into which the unobserved output is predicted to fall. The IPMs proposed prescribe the output as an interval valued function of the model's inputs, render a formal description of both the uncertainty in the model's parameters and of the spread in the predicted output. Uncertainty is prescribed as a hyper-rectangular set in the space of model's parameters. The propagation of this set through the empirical model yields a range of outputs of minimal spread containing all (or, depending on the formulation, most) of the observations. Optimization-based strategies for calculating IPMs and eliminating the effects of outliers are proposed. Outliers are identified by evaluating the extent by which they degrade the tightness of the prediction. This evaluation can be carried out while the IPM is calculated. When the data satisfies mild stochastic assumptions, and the optimization program used for calculating the IPM is convex (or, when its solution coincides with the solution to an auxiliary convex program), the model's reliability (that is, the probability that a future observation would be within the predicted range of outputs) can be bounded rigorously by a non-asymptotic formula.","PeriodicalId":202708,"journal":{"name":"53rd IEEE Conference on Decision and Control","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115688988","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 : 2014-12-15DOI: 10.1109/CDC.2014.7040417
Ahmad Farhat, D. Koenig
This paper addresses a method for fault detection (FD) by maximizing the fault to residual sensitivity. It uses the newly developed ℋ- index properties and minimizing the well known ℋ∞ norm for worst case disturbance attenuation. The fault detection problem is formulated as LMI feasibility problem in which a cost function is minimized subject to LMI constraints. This objective is coupled to a transient response specification expressed by eigenvalue assignment formulation. This approach is then studied for both proper and strictly proper systems. Sufficient conditions are also given to enhance the disturbance decoupling. The effectiveness of the proposed approach is shown by a numerical example.
{"title":"ℋ−/ℋ∞ fault detection observer for switched systems","authors":"Ahmad Farhat, D. Koenig","doi":"10.1109/CDC.2014.7040417","DOIUrl":"https://doi.org/10.1109/CDC.2014.7040417","url":null,"abstract":"This paper addresses a method for fault detection (FD) by maximizing the fault to residual sensitivity. It uses the newly developed ℋ- index properties and minimizing the well known ℋ∞ norm for worst case disturbance attenuation. The fault detection problem is formulated as LMI feasibility problem in which a cost function is minimized subject to LMI constraints. This objective is coupled to a transient response specification expressed by eigenvalue assignment formulation. This approach is then studied for both proper and strictly proper systems. Sufficient conditions are also given to enhance the disturbance decoupling. The effectiveness of the proposed approach is shown by a numerical example.","PeriodicalId":202708,"journal":{"name":"53rd IEEE Conference on Decision and Control","volume":"01 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127228386","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 : 2014-12-15DOI: 10.1109/CDC.2014.7040213
Wei Wang, D. Nešić, R. Postoyan
We design stabilizing controllers for nonlinear networked control systems (NCS) whose transmissions are scheduled by FlexRay. FlexRay protocol has been developed by the automotive industry to provide high bandwidth and deterministic communications. It works with communication cycles which consist of a static segment and a dynamic segment during which different scheduling rules are employed. We generalize existing emulated controller designs to be applicable to NCS with FlexRay. We start from a feedback law which stabilizes the origin of the plant when there is no network. We then present a novel hybrid model of the closed-loop system when the controller is implemented over a network scheduled by FlexRay. Afterwards, we provide conditions on the network under which the stability of the NCS is ensured. In particular, we consider segments of arbitrary lengths and we provide segment-dependent maximal allowable transmission interval bounds. The analysis relies on the construction of a new hybrid Lyapunov function. We believe that this work demonstrates the flexibility of the emulation approach and that it can be used to investigate other control problems for NCS with switched protocols.
{"title":"Emulated controller design for networked control systems implemented on FlexRay","authors":"Wei Wang, D. Nešić, R. Postoyan","doi":"10.1109/CDC.2014.7040213","DOIUrl":"https://doi.org/10.1109/CDC.2014.7040213","url":null,"abstract":"We design stabilizing controllers for nonlinear networked control systems (NCS) whose transmissions are scheduled by FlexRay. FlexRay protocol has been developed by the automotive industry to provide high bandwidth and deterministic communications. It works with communication cycles which consist of a static segment and a dynamic segment during which different scheduling rules are employed. We generalize existing emulated controller designs to be applicable to NCS with FlexRay. We start from a feedback law which stabilizes the origin of the plant when there is no network. We then present a novel hybrid model of the closed-loop system when the controller is implemented over a network scheduled by FlexRay. Afterwards, we provide conditions on the network under which the stability of the NCS is ensured. In particular, we consider segments of arbitrary lengths and we provide segment-dependent maximal allowable transmission interval bounds. The analysis relies on the construction of a new hybrid Lyapunov function. We believe that this work demonstrates the flexibility of the emulation approach and that it can be used to investigate other control problems for NCS with switched protocols.","PeriodicalId":202708,"journal":{"name":"53rd IEEE Conference on Decision and Control","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129845118","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 : 2014-12-15DOI: 10.1109/CDC.2014.7040418
L. M. Ho, D. Ossmann
Model-based fault detection and isolation (FDI) for an overactuated mechatronic vehicle is presented. The linear single-track model is extend to reflect the layout of the overactuated vehicle as well as its longitudinal dynamics, and sensor and actuator faults are added into the model. The DLR Fault Detection Toolbox, which makes use of rational nullspace bases computation to design residual generators, is used for the systematic design of structured residuals. A minimum set of residuals is selected according to their robustness and ability to isolate faults. The fault detection and isolation system is validated in a simulation in connection with a double track model using the parameters of the ROboMObil prototype vehicle.
{"title":"Fault detection and isolation of vehicle dynamics sensors and actuators for an overactuated X-by-wire vehicle","authors":"L. M. Ho, D. Ossmann","doi":"10.1109/CDC.2014.7040418","DOIUrl":"https://doi.org/10.1109/CDC.2014.7040418","url":null,"abstract":"Model-based fault detection and isolation (FDI) for an overactuated mechatronic vehicle is presented. The linear single-track model is extend to reflect the layout of the overactuated vehicle as well as its longitudinal dynamics, and sensor and actuator faults are added into the model. The DLR Fault Detection Toolbox, which makes use of rational nullspace bases computation to design residual generators, is used for the systematic design of structured residuals. A minimum set of residuals is selected according to their robustness and ability to isolate faults. The fault detection and isolation system is validated in a simulation in connection with a double track model using the parameters of the ROboMObil prototype vehicle.","PeriodicalId":202708,"journal":{"name":"53rd IEEE Conference on Decision and Control","volume":"520 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132162417","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 : 2014-12-15DOI: 10.1109/CDC.2014.7039623
M. Ghattassi, M. Boutayeb, J. Roche
This contribution deals with state observer design for a class of nonlinear coupled PDE that describe radiative-conductive heat transfer systems. This approach uses first a stable spatial discretization technique that is the Galerkin method to obtain a large scale but finite dimensional system in a suitable form. Thanks to the special structure of the obtained state system, the second main result is to show through the differential mean value theorem (DMVT) that there always exists an observer gain matrix that assures asymptotic convergence. On the other hand, in order to avoid high computational requirements, we show how to construct the observer gain matrix so that the stability condition, written in terms of linear matrix inequality, is satisfied. Extension to H∞ performance analysis is also proposed. In order to show high accuracy of the proposed technique, a numerical example is provided.
{"title":"State observer design for non linear coupled partial differential equations with application to radiative-conductive heat transfer systems","authors":"M. Ghattassi, M. Boutayeb, J. Roche","doi":"10.1109/CDC.2014.7039623","DOIUrl":"https://doi.org/10.1109/CDC.2014.7039623","url":null,"abstract":"This contribution deals with state observer design for a class of nonlinear coupled PDE that describe radiative-conductive heat transfer systems. This approach uses first a stable spatial discretization technique that is the Galerkin method to obtain a large scale but finite dimensional system in a suitable form. Thanks to the special structure of the obtained state system, the second main result is to show through the differential mean value theorem (DMVT) that there always exists an observer gain matrix that assures asymptotic convergence. On the other hand, in order to avoid high computational requirements, we show how to construct the observer gain matrix so that the stability condition, written in terms of linear matrix inequality, is satisfied. Extension to H∞ performance analysis is also proposed. In order to show high accuracy of the proposed technique, a numerical example is provided.","PeriodicalId":202708,"journal":{"name":"53rd IEEE Conference on Decision and Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130359645","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 : 2014-12-15DOI: 10.1109/CDC.2014.7039721
P. Serra, R. Cunha, T. Hamel, David Cabecinhas, C. Silvestre
This paper addresses the problem of landing a Vertical Take-Off and Landing (VTOL) quadrotor using image-based visual servo control. Observable features on a flat target plane are exploited to derive a suitable control law. The kinematics of a VTOL quadrotor system are expressed in terms of an unnormalized spherical centroid of features and optical flow is used as velocity measurement for control. The dynamics with respect to the force input are dependent on the distance between the camera and the target plane, which is not measurable by a simple vision system. The proposed control law guarantees convergence without estimating any parameter related to the unknown distance, which is also guaranteed to remain strictly positive. Simulation and experimental results are provided to illustrate and assess the performance of the proposed controller.
{"title":"Landing on a moving target using image-based visual servo control","authors":"P. Serra, R. Cunha, T. Hamel, David Cabecinhas, C. Silvestre","doi":"10.1109/CDC.2014.7039721","DOIUrl":"https://doi.org/10.1109/CDC.2014.7039721","url":null,"abstract":"This paper addresses the problem of landing a Vertical Take-Off and Landing (VTOL) quadrotor using image-based visual servo control. Observable features on a flat target plane are exploited to derive a suitable control law. The kinematics of a VTOL quadrotor system are expressed in terms of an unnormalized spherical centroid of features and optical flow is used as velocity measurement for control. The dynamics with respect to the force input are dependent on the distance between the camera and the target plane, which is not measurable by a simple vision system. The proposed control law guarantees convergence without estimating any parameter related to the unknown distance, which is also guaranteed to remain strictly positive. Simulation and experimental results are provided to illustrate and assess the performance of the proposed controller.","PeriodicalId":202708,"journal":{"name":"53rd IEEE Conference on Decision and Control","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134062524","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 : 2014-12-15DOI: 10.1109/CDC.2014.7040217
L. D. Col, S. Tarbouriech, L. Zaccarian, M. Kieffer
We consider the problem of delivering encoded videos to several mobile users sharing a limited wireless resource. The aim is to provide some fairness among the terminals in terms of utility, which is cast in the framework of discrete-time linear distributed consensus. To this end, the rate-utility characteristics of each stream is linearized, which allows to get necessary and sufficient conditions on the controller parameters to asymptotically reach the consensus. To prove our statement we also provide a general result on consensus of identical continuous- or discrete-time linear systems. Simulation results illustrate the effectiveness of the proposed approach.
{"title":"A linear consensus approach to quality-fair video delivery","authors":"L. D. Col, S. Tarbouriech, L. Zaccarian, M. Kieffer","doi":"10.1109/CDC.2014.7040217","DOIUrl":"https://doi.org/10.1109/CDC.2014.7040217","url":null,"abstract":"We consider the problem of delivering encoded videos to several mobile users sharing a limited wireless resource. The aim is to provide some fairness among the terminals in terms of utility, which is cast in the framework of discrete-time linear distributed consensus. To this end, the rate-utility characteristics of each stream is linearized, which allows to get necessary and sufficient conditions on the controller parameters to asymptotically reach the consensus. To prove our statement we also provide a general result on consensus of identical continuous- or discrete-time linear systems. Simulation results illustrate the effectiveness of the proposed approach.","PeriodicalId":202708,"journal":{"name":"53rd IEEE Conference on Decision and Control","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114476893","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 : 2014-12-15DOI: 10.1109/CDC.2014.7039543
A. Polyakov, D. Efimov, W. Perruquetti, J. Richard
The method of Implicit Lyapunov-Krasovski Functional (ILKF) for stability analysis of time-delay systems is introduced. Theorems on Lyapunov, asymptotic, fiite-time, fixed-time and (hyper-)exponential stability analysis using ILKF are presented. The hyper exponential stabilization algorithm for a time-delay system is developed. The theoretical results are supported by numerical simulations.
{"title":"Implicit Lyapunov-Krasovski Functionals for time delay systems","authors":"A. Polyakov, D. Efimov, W. Perruquetti, J. Richard","doi":"10.1109/CDC.2014.7039543","DOIUrl":"https://doi.org/10.1109/CDC.2014.7039543","url":null,"abstract":"The method of Implicit Lyapunov-Krasovski Functional (ILKF) for stability analysis of time-delay systems is introduced. Theorems on Lyapunov, asymptotic, fiite-time, fixed-time and (hyper-)exponential stability analysis using ILKF are presented. The hyper exponential stabilization algorithm for a time-delay system is developed. The theoretical results are supported by numerical simulations.","PeriodicalId":202708,"journal":{"name":"53rd IEEE Conference on Decision and Control","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126955943","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 : 2014-12-15DOI: 10.1109/CDC.2014.7040408
Fabien Lauer, G. Bloch
The paper extends the recent approach of Ohlsson and Ljung for piecewise affine system identification to the nonlinear case while taking a clustering point of view. In this approach, the problem is cast as the minimization of a convex cost function implementing a trade-off between the fit to the data and a sparsity prior on the number of pieces. Here, we consider the nonlinear case of piecewise smooth system identification without prior knowledge on the type of nonlinearities involved. This is tackled by simultaneously learning a collection of local models from a reproducing kernel Hilbert space via the minimization of a convex functional, for which we prove a representer theorem that provides the explicit form of the solution. An example of application to piecewise smooth system identification shows that both the mode and the nonlinear local models can be accurately estimated.
{"title":"Piecewise smooth system identification in reproducing kernel Hilbert space","authors":"Fabien Lauer, G. Bloch","doi":"10.1109/CDC.2014.7040408","DOIUrl":"https://doi.org/10.1109/CDC.2014.7040408","url":null,"abstract":"The paper extends the recent approach of Ohlsson and Ljung for piecewise affine system identification to the nonlinear case while taking a clustering point of view. In this approach, the problem is cast as the minimization of a convex cost function implementing a trade-off between the fit to the data and a sparsity prior on the number of pieces. Here, we consider the nonlinear case of piecewise smooth system identification without prior knowledge on the type of nonlinearities involved. This is tackled by simultaneously learning a collection of local models from a reproducing kernel Hilbert space via the minimization of a convex functional, for which we prove a representer theorem that provides the explicit form of the solution. An example of application to piecewise smooth system identification shows that both the mode and the nonlinear local models can be accurately estimated.","PeriodicalId":202708,"journal":{"name":"53rd IEEE Conference on Decision and Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123123634","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 : 2014-12-15DOI: 10.1109/CDC.2014.7040271
W. Nwesaty, A. Bratcu, O. Sename
In this paper a multi-variable LPV/H∞ control approach is applied to design a strategy for power source coordination within a multi-source energy system. Three different kinds of power sources - fuel cell, battery and ultracapacitor - compose the power supply system of an electric vehicle. All sources are current-controlled and paralleled together with their associated DC-DC converters on a common DC-link coupled to vehicle's electrical motor and its converter. DC-link voltage must be regulated in spite of load power variations representing the driving cycle image. To this end, a MIMO LPV/H∞ provides the three current references so that each source operates in its most suitable frequency range as either high-energy-density or high-power-density source: low-frequency, the mean power is provided by the fuel cell, the ultracapacitor supplies/absorbs the instantaneous variations of power demand and the battery operates in between the two other sources. Selection of H∞ weighting functions is guided by a genetic algorithm whose optimization criterion expresses the frequency-separation requirements. The nonlinear multi-source system is simulated in MATLABP® /Simulink® using the driving cycle of IFSTTAR (Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux) as load profile, whose frequency content is richer than the one of Normalized European Driving Cycle (NEDC). Simulation results show good performance in supplying the load at constant DC-link voltage according to user-configured frequency-separation power sharing strategy.
本文采用多变量LPV/H∞控制方法设计多源能源系统中的电源协调策略。三种不同的电源——燃料电池、电池和超级电容器——组成了电动汽车的供电系统。所有的电源都是电流控制的，并与它们相关的DC-DC转换器在一个与汽车电机及其转换器耦合的公共dc链路上并联。直流电压必须调节，尽管负载功率的变化代表驱动周期图像。为此，MIMO LPV/H∞提供了三个电流参考，以便每个源在其最合适的频率范围内作为高能量密度或高功率密度源工作:低频，平均功率由燃料电池提供，超级电容器提供/吸收功率需求的瞬时变化，电池在两个其他源之间工作。采用遗传算法指导H∞权函数的选择，遗传算法的优化准则表达了频分要求。非线性多源系统在MATLABP®/Simulink®中采用IFSTTAR (Institut francaais des Sciences et Technologies des transport, de l' amam管理和管理系统)驱动周期作为负载曲线进行仿真，其频率含量比欧洲标准化驱动周期(NEDC)更丰富。仿真结果表明，根据用户配置的分频功率共享策略，在直流链路恒定电压下供电具有良好的性能。
{"title":"Optimal frequency separation of power sources by multivariable LPV/H∞ control: Application to on-board energy management systems of electric vehicles","authors":"W. Nwesaty, A. Bratcu, O. Sename","doi":"10.1109/CDC.2014.7040271","DOIUrl":"https://doi.org/10.1109/CDC.2014.7040271","url":null,"abstract":"In this paper a multi-variable LPV/H∞ control approach is applied to design a strategy for power source coordination within a multi-source energy system. Three different kinds of power sources - fuel cell, battery and ultracapacitor - compose the power supply system of an electric vehicle. All sources are current-controlled and paralleled together with their associated DC-DC converters on a common DC-link coupled to vehicle's electrical motor and its converter. DC-link voltage must be regulated in spite of load power variations representing the driving cycle image. To this end, a MIMO LPV/H∞ provides the three current references so that each source operates in its most suitable frequency range as either high-energy-density or high-power-density source: low-frequency, the mean power is provided by the fuel cell, the ultracapacitor supplies/absorbs the instantaneous variations of power demand and the battery operates in between the two other sources. Selection of H∞ weighting functions is guided by a genetic algorithm whose optimization criterion expresses the frequency-separation requirements. The nonlinear multi-source system is simulated in MATLABP® /Simulink® using the driving cycle of IFSTTAR (Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux) as load profile, whose frequency content is richer than the one of Normalized European Driving Cycle (NEDC). Simulation results show good performance in supplying the load at constant DC-link voltage according to user-configured frequency-separation power sharing strategy.","PeriodicalId":202708,"journal":{"name":"53rd IEEE Conference on Decision and Control","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125343189","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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