Active damping of automotive powertrain oscillations by a partial torque compensator

Berriri, M.; Chevrel, P.; Lefebvre, D.; Yagoubi, Mohamed

doi:10.1109/acc.2007.4282533

Cited by 17 publications

(10 citation statements)

References 7 publications

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“…In recent years, the greater demand for passenger comfort, which requires a reduction of the noise and vibration characteristics of vehicles, has led to the design of proper models for conventional vehicle drivetrains and to the development of different control strategies to minimize the effects of drivetrain oscillations: robust pole placement (Stewart et al, 2005), H ∞ optimization (Lefebvre et al, 2003), linear quadratic gaussian control design with loop transfer recovery (LQG/LTR) (Berriri et al, 2008) and even model predictive control (MPC) (Rostalski et al, 2007). Although the majority of the control strategies that are implemented on real vehicles are based on heuristics and look-up tables, it was shown that MPC has a large potential for control of automotive subsystems, e.g., mechatronic actuators (Di Cairano et al, 2007), driveline (Saerens et al, 2008), engine (Di Cairano et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Horizon-1 predictive control of networked controlled vehicle drivetrains

Caruntu

Lazăr

Cairano

et al. 2011

IFAC Proceedings Volumes

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Section: Introductionmentioning

confidence: 99%

Horizon-1 predictive control of networked controlled vehicle drivetrains

Caruntu

Lazăr

Cairano

et al. 2011

IFAC Proceedings Volumes

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“…Berriri et al developed a partial torque compensator in order to actively dampen powertrain oscillations. 12 In similarity with the previous studies, the developed controller uses engine speed measurement as an input to the controller to calculate the corrective torque that will oppose the shuffle phenomenon. The difference of the proposed methodology from previous studies is that the control synthesis is more or less independent of the driveline characteristics and non linearities, as it is employing a simplified model of the engine without the precise characteristics of the driveline.…”

Section: Introductionmentioning

confidence: 96%

Model based predictive engine torque control for improved drivability

Atabay

Ötkür

Ereke

2017

Proceedings of the Institution of Mechanical Engineers, Part D:

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Elasticity of the various driveline components and backlash originating from gear reduction mechanisms and fasteners may cause torsional vibrations resulting in unintended shunt and shuffle behaviours, when a vehicle is subjected to an acceleration change request. As a result of recent improvements to engine control structures and computational capability developments during the last few decades, the idea of using generated brake torque control has been considered a state of the art research topic among academic researchers and original equipment manufacturers (OEMs). In order to improve transient vehicle response to an acceleration change manoeuvre, a novel engine generated brake torque based model predictive control (MPC) algorithm with an additional anti-shuffle control element has been developed to manipulate the pedal map oriented torque demand signal in an automotive powertrain application. A four mass powertrain model was built and model validation considering longitudinal vehicle dynamics was performed with vehicle level tests using a tip-in followed by a tip out acceleration pedal signal input manoeuvre. Comparison of simulation results and vehicle test data shows that the proposed model is capable of capturing the vehicle acceleration profile revealing unintended error states for the specified input signals. MPC structures based on three mass vehicle models (derived from the four mass model via subtracting tyre dynamics due to high order nonlinearities at the tyre model) was developed in a “MATLAB/Simulink” environment to obtain a smooth and responsive acceleration profile. The MPC controller delivers signal states with the expected performance metrics without error states such as excessive jerks and shuffles. An additional engine to wheel speed difference based proportional controller is employed in order to further reduce powertrain oscillations without compromising from overall system response speed resulting in a comfortable drive.

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“…In addition to the backlash problem, the limitations in the control period of actuators used for active damping of automotive drivetrains present additional problems. An example of such an actuator is the engine, 16 in which the generated torque corresponds to the control input. An engine cannot update the control input at the timing synchronized with that of a digital controller.…”

Section: Introductionmentioning

confidence: 99%

“…17 Modeling of an engine with a fixed maximal delay and the H ∞ controller design in continuous-time domain ensured the phase margin to cope with the mechanism to update engine torque. 18 In addition, predictive controllers have been proposed to compensate for the engine delay, 16,19,20 and their effectiveness has been experimentally validated.…”

Section: Introductionmentioning

confidence: 99%

Active vibration control of automobile drivetrain with backlash considering time-varying long control period

Yonezawa

Kajiwara

Nishidome³

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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Active vibration control of automotive drivetrains must be developed to compensate for the backlash of gears because it causes undesired responses. In addition, an engine used as an actuator has a constraint which makes the control periods longer and time-varying, resulting in deterioration of the control performance. The contribution of this study is to cope with all the issues described above, backlash and the control period constraint, simultaneously. First, a basic experimental device, which simplifies an actual vehicle to focus on the effect due to backlash, is demonstrated. In the device, the control period constraint, which is equivalent to that of an engine, is reproduced by a digital signal processor. To reduce an adverse effect due to the extension of the control period, the sampled-data controller, which does not require discretization in its implementation, is employed. In this paper, predictive processing using the servo-type sampled-data controller is proposed to compensate for the phase delay of the control input caused by the time-varying control period. In addition, a control mode switching technique included in the prediction suppresses undesired responses due to backlash. Finally, control experiments verify the effectiveness of the control system.

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Active damping of automotive powertrain oscillations by a partial torque compensator

Abstract: International audienceno abstrac

Cited by 17 publications

References 7 publications

Horizon-1 predictive control of networked controlled vehicle drivetrains

Horizon-1 predictive control of networked controlled vehicle drivetrains

Model based predictive engine torque control for improved drivability

Active vibration control of automobile drivetrain with backlash considering time-varying long control period

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