Simulation and control of an automotive dry clutch

Serrarens, A.F.A.; Dassen, Marc; Steinbuch, M Maarten

doi:10.23919/acc.2004.1383947

Cited by 47 publications

(27 citation statements)

References 9 publications

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“…Due to its non-linear behaviour, however, the modelling of clutch is a delicate point (ArmstrongHe´louvry, Dupont and Canudas de Wit 1994; Serrarens, Dassen and Steinbuch 2004). Indeed, it connects or disconnects mechanical parts, which can have similar or diverging rotation speeds.…”

Section: Introductionmentioning

confidence: 97%

Inversion-based control of a vehicle with a clutch using a switched causal modelling

Lhomme

Trigui²,

Bouscayrol

et al. 2010

International Journal of Systems Science

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The modelling of a clutch in a power train transmission is a delicate process because of its non-linear behaviour. Two different states have to be taken into account: when the clutch is locked and when the clutch is slipping. Moreover the clutch has often to be controlled automatically in parallel hybrid electric vehicles (HEVs). An energetic macroscopic representation (EMR) of a clutch system has been developed. Both clutch states are genuinely taken into account in a physical way. In this article, EMR leads to organise the control scheme of the clutch system using an inversion methodology. An experimental validation is provided on a conventional vehicle before being implemented on parallel HEVs. Experimental results are provided to validate the clutch model and the inversion-based control.

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Section: Introductionmentioning

confidence: 97%

Inversion-based control of a vehicle with a clutch using a switched causal modelling

Lhomme

Trigui²,

Bouscayrol

et al. 2010

International Journal of Systems Science

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“…Their dynamic model consists of a sixth-order state space of the driveline. A decoupling proportional integral (PI) controller is proposed in [5]. Observerbased optimal control of dry clutch engagement is examined, paying particular attention to the driver comfort, in [6].…”

Section: Introductionmentioning

confidence: 99%

Design of a Data-Driven Predictive Controller for Start-up Process of AMT Vehicles

Chen

Wang

et al. 2011

IEEE Trans. Neural Netw.

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In this paper, a data-driven predictive controller is designed for the start-up process of vehicles with automated manual transmissions (AMTs). It is obtained directly from the input-output data of a driveline simulation model constructed by the commercial software AMESim. In order to obtain offset-free control for the reference input, the predictor equation is gained with incremental inputs and outputs. Because of the physical characteristics, the input and output constraints are considered explicitly in the problem formulation. The contradictory requirements of less friction losses and less driveline shock are included in the objective function. The designed controller is tested under nominal conditions and changed conditions. The simulation results show that, during the start-up process, the AMT clutch with the proposed controller works very well, and the process meets the control objectives: fast clutch lockup time, small friction losses, and the preservation of driver comfort, i.e., smooth acceleration of the vehicle. At the same time, the closed-loop system has the ability to reject uncertainties, such as the vehicle mass and road grade.

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“…in [1]. An exemplary model including a proposal for control of a dry friction element is shown in [2]. Various strategies for friction modeling in general are compared in [3].…”

Section: Introductionmentioning

confidence: 99%

Fixed step clutch modeling and simulation for automotive real-time applications

Bachinger

Stolz

Horn

2014

2014 American Control Conference

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Efficient coordination of actuating elements is an important challenge for modern automotive control units in order to deliver the requested torque for propulsion during all driving conditions. Model-based approaches have large potential to deal with the growing complexity. The need for real-time execution leads to fixed time step solution of the model equations. Solving model equations containing friction elements is a major challenge, since adaptive time step methods involving zero crossing detection are not feasible for real-time execution. This publication focuses on a technique for modeling complex drivetrain layouts that contain several friction elements like clutches and brakes. The main target of this contribution is to loosen requirements on maximum time step size which arise due to discontinuous friction modeling within the model equations.The proposed approach enables model-based calculations at larger time step sizes. This permits online calculation of complex gear transmission models at usual time rasters of common automotive control units.

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Simulation and control of an automotive dry clutch

Cited by 47 publications

References 9 publications

Inversion-based control of a vehicle with a clutch using a switched causal modelling

Inversion-based control of a vehicle with a clutch using a switched causal modelling

Design of a Data-Driven Predictive Controller for Start-up Process of AMT Vehicles

Fixed step clutch modeling and simulation for automotive real-time applications

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