Diesel engine torque ripple reduction through LPV control in hybrid electric vehicle powertrain: Experimental results

Cauët, Sébastien; Coirault, Patrick; Njeh, Mohamed

doi:10.1016/j.conengprac.2013.03.005

Cited by 37 publications

(20 citation statements)

References 16 publications

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“…In this paper, the system is controlled using an LPV model reference control, similar to the technique originally developed for the LTI case [9] and recently extended to the LPV case [10,11]. For the synthesis of the LPV controller, the following reference model is considered:…”

Section: Model Reference Control Of Lpv Systemsmentioning

confidence: 99%

“…The main contribution consists in designing an online active fault estimator and a fault compensator based on an LPV model reference to achieve FTC purposes. The idea of the model reference control strategy, initially used for LTI systems [9], has been extended recently to LPV systems [10,11]. The FTC strategy proposed in this paper is based on a reconfiguration of the reference model and the addition of a virtual actuator block.…”

Section: Introductionmentioning

confidence: 99%

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Model reference FTC for LPV systems using virtual actuators and set‐membership fault estimation

Rotondo

Nejjari

Puig

et al. 2014

Intl J Robust & Nonlinear

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In this paper, a model reference fault tolerant control (FTC) strategy based on a reconfiguration of the reference model, with the addition of a virtual actuator block, is presented for linear parameter varying (LPV) systems. The advantage of the proposed FTC method is that the control system is reconfigured in such a way that the nominal controller is used without the need of retuning it. Moreover, the presence of saturations is taken into account through their incorporation in the reference model, and the introduction of additional varying parameters, such that the system exhibits some graceful performance degradation when the system could not achieve the desired state because of the actuator limits. The design of the control scheme is based on linear matrix inequalities (LMIs) and polytopic LPV techniques. In order to implement the proposed active FTC strategy, a fault estimation is required. In this paper, the fault estimation is formulated as a parameter estimation problem, which is solved using a set-membership approach. An aeronautical application is used to assess the performance of the proposed approach.Peer ReviewedPostprint (published version

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Section: Model Reference Control Of Lpv Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Model reference FTC for LPV systems using virtual actuators and set‐membership fault estimation

Rotondo

Nejjari

Puig

et al. 2014

Intl J Robust & Nonlinear

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“…Similar to what has been done in Chapter 7, the idea of LPV reference model control is considered to assure the convergence of the system trajectory to the desired one [3,51]. Hence, the following reference model is considered for the synthesis of the LPV controller: Thus, considering the tracking error, defined as e(τ )…”

Section: Ftc Using Reconfigured Reference Model and Virtual Actuatorsmentioning

confidence: 99%

“…In order to assure the convergence of the system trajectory to the desired one, the idea of LPV model reference control is considered. Originally developed for the LTI case [81], this technique has been successfully extended to the LPV case [3,51] and relies on the use of a reference model, as follows:…”

Section: Problem Formulationmentioning

confidence: 99%

“…active vision systems [316], airplanes [14,314], bioreactors [185], canals [82], CD players [75], container crane load swing [128], control moment gyroscopes [1], electromagnetic actuators [102], engines [51], flexible ball screw drives [121], fuel cells [32,69], glycemic regulation [60], induction motors [233], internet web servers [234], inverted pendula [239], ionic polymer-metal composites [181], magneto-rheological dampers [294], robots [122], unmanned aerial vehicles (UAVs) [184,211], vehicle suspensions [101,231,232], wafer scanners [114], wind turbines [293] and winding machines [241]. Recently, the LPV paradigm has also been applied to time delay systems with time varying delays [44][45][46].…”

Section: Gain-scheduling: Lpv Systems and Ts Systemsmentioning

confidence: 99%

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Advances in Gain-Scheduling and Fault Tolerant Control Techniques

Rotondo¹

2018

Springer Theses

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This thesis presents some contributions to the state-of-the-art of the fields of gainscheduling and fault tolerant control (FTC).In the area of gain-scheduling, the connections between the linear parameter varying (LPV) and Takagi-Sugeno (TS) paradigms are analyzed, showing that the methods for the automated generation of models by nonlinear embedding and by sector nonlinearity, developed for one class of systems, can be easily extended to deal with the other class. Then, two measures, based on the notions of overboundedness and region of attraction estimates, are proposed in order to compare different models and choose which one can be considered the best one. Later, the problem of designing state-feedback controllers for LPV systems has been considered, providing two main contributions. First, robust LPV controllers that can guarantee some desired performances when applied to uncertain LPV systems are designed, by using a double-layer polytopic description that takes into account both the variability due to the varying parameter vector and the uncertainty. Then, the idea of designing the controller in such a way that the required performances are scheduled by the varying parameters is explored, which provides an elegant way to vary online the behavior of the closed-loop system. In both cases, the problem reduces to finding a solution to a finite number of linear matrix inequalities (LMIs), which can be done efficiently using the available solvers.In the area of fault tolerant control, the thesis first shows that the aforementioned double-layer polytopic framework can be used for FTC, in such a way that different strategies (passive, active and hybrid) are obtained depending on the amount of available information. Later, an FTC strategy for LPV systems that involves a reconfigured reference model and virtual actuators is developed. It is shown that by including the saturations in the reference model equations, it is possible to design a model reference FTC system that automatically retunes the reference states whenever the system is affected by saturation nonlinearities. In this way, a graceful performance degradation in presence of actuator saturations is incorporated in an elegant way. Finally, the problem of FTC of unstable LPV systems subject to actuator saturations is considered. In this case, the design of the virtual actuator is performed in such a way that the convergence of the state trajectory to zero is assured despite the saturations and the appearance of faults. Also, it is shown that it is possible to obtain some guarantees about the tolerated delay between the fault occurrence and its isolation, and that the nominal controller can be designed so as to maximize the tolerated delay.i Resum Aquesta tesi presenta diverses contribucions a l'estat de l'art del control per planificació del guany i del control tolerant a fallades (FTC).Pel que fa al control per planificació del guany, s'analitzen les connexions entre els paradigmes dels sistemes lineals a paràmetres variants en el temps (LPV) i d...

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Background on Gain-Scheduling

Rotondo

2017

Advances in Gain-Scheduling and Fault Tolerant Control Techniques

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Diesel engine torque ripple reduction through LPV control in hybrid electric vehicle powertrain: Experimental results

Cited by 37 publications

References 16 publications

Model reference FTC for LPV systems using virtual actuators and set‐membership fault estimation

Model reference FTC for LPV systems using virtual actuators and set‐membership fault estimation

Advances in Gain-Scheduling and Fault Tolerant Control Techniques

Background on Gain-Scheduling

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