Flatness-Based Clutch Control for Automated Manual Transmissions

Horn, Joachim; Bamberger, Joachim; Michau, Peter; Pindl, Stephan

doi:10.3182/20020721-6-es-1901.01528

Cited by 9 publications

(11 citation statements)

References 3 publications

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“…The damper torque (7) and the output torque (10) are expressed using the torsional compliance model involving spring constant and damping effect. The clutch torques (8) and (9) are expressed using the simple friction model where the torque is given as a function of clutch normal force and nominal friction coefficient. The vehicle resistance torque (11) is the sum of the effects of road gradient, tire rolling resistance, and aerodynamic drag.…”

Section: A Model Reference Pi Observermentioning

confidence: 99%

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Real-Time Estimation of Transmitted Torque on Each Clutch for Ground Vehicles With Dual Clutch Transmission

Choi

2015

IEEE/ASME Trans. Mechatron.

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This paper mainly focuses on the robust separate estimation of transmitted torque on each clutch of the dual clutch transmission-the task that has not yet been accomplished by previously published efforts. In order to estimate the torque on individual clutches, the observer system is composed of a shaft model-based observer, unknown input observers, and a model reference PI observer. The estimations obtained by each subcomponents are processed together to provide online torque estimation of high accuracy. The proposed estimator requires the following information: speed measurements of engine, input shafts, and wheels, and nominal engine torque information obtained as a function of driver inputs and engine speed. These are already available in the current production cars; hence, no further modification or addition to the vehicle hardware is necessary. To validate the effectiveness of the proposed estimator, experiments using an actual vehicle are conducted with various scenarios. With detailed analysis of the results obtained by the experiments, the proposed dual clutch transmission torque estimator is shown to be apt for real car application. 1083-4435

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Section: A Model Reference Pi Observermentioning

confidence: 99%

“…Simple open-loop control tactics based on the experimentally obtained map of the relationship between the actuation input and the clutch torque or speed is insufficient in eliminating the jerks in shift shock [7], [8] and transmission life deterioration.…”

mentioning

confidence: 99%

Real-Time Estimation of Transmitted Torque on Each Clutch for Ground Vehicles With Dual Clutch Transmission

Choi

2015

IEEE/ASME Trans. Mechatron.

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“…1 However, such controllers give rise to poor system performance. 2 Nonlinear controllers based on backstepping 2 or feedforward 3 have been shown to provide much superior performance. Of course, the modern real-time processors often have user-friendly architecture called the field-programmable gate-array, 4 or FPGA.…”

Section: Introductionmentioning

confidence: 99%

Characterization and tracking control of a nonlinear electrohydraulic valve-cylinder system

Das

Mishra

Paswan

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part E:

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It is well known that simple proportional, integral, and derivative control yields poor tracking performance due to the friction-and flow-related nonlinearities in electrohydraulic servo-systems. Nonlinear effects are more significant in proportional valve having deadband and non-matched ports with potential application in systems with complex ground friction in off-road vehicles or complex inertia loads in simulators meant for pilot training. A feedforwardbased controller has been designed here by performing a number of characterization experiments for achieving good tracking performance overcoming severe nonlinearities. An algebraic model of friction has been developed for including hysteresis beyond the static friction zone in a double-rod piston-cylinder arrangement. A proportional valve with nonmatched ports and large deadband has been characterized in terms of command signal to flow gains for each metered port and a leakage coefficient. Also, a dynamic model for the valve with embedded control has been constructed. All these models have been integrated together to predict the piston-motion dynamics. A simple theoretical analysis with a fixed command excitation revealed that following the initial transients a sustained oscillation over a constant mean piston velocity could exist for low pump pressure and valve damping due to the flow-motion coupling. The bandwidth and damping coefficient of the valve flow have been estimated through a comparison between the predicted and experimentally measured piston displacement variation with time. Besides evaluating the feedforward using the algebraic friction model along with assuming incompressible flow and negligible valve leakage, the predictions of the complete model were used to ascertain the proportional, integral, and derivative gains to be implemented in real-time control. Up to 0.5 Hz sinusoidal excitation, the proposed control revealed excellent tracking performance. Controls with only proportional, integral, and derivative and proportional, integral, and derivative together with feedforward exhibited noticeable phase shifts, respectively, from frequencies 0.0625 Hz and 0.6 Hz. Hence, the proposed controller can be useful in low-cost, low-power, precision applications up to 0.5 Hz input excitations.

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“…There is some available literature related to the automatic control of clutch in a vehicle, including automatic transmission with a dry clutch for better efficiency; 8 zero shift technology for very fast gear transmissions with a seamless automated manual transmission; 9 a design of optimal friction clutch controller for commercial trucks based on linear quadratic regulator techniques; 10 the flatness-based clutch control for automated manual transmissions with electro-hydraulic clutch; 11 and a fuzzy neural network control of automatic mechanical transmission clutch in starting phase. 12 However, in this study, a new fuzzy logic control algorithm is developed for an automatic dry friction clutch used in HEVs.…”

Section: Introductionmentioning

confidence: 99%

Clutch control and vibration reduction for a hybrid electric vehicle

Minh

2012

Proceedings of the Institution of Mechanical Engineers, Part I:

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This paper reports the results of a study that develops another strategy to control the clutch engagement and slip of hybrid electric vehicles using fuzzy logic. This is an extension of a previous paper by Minh et al. on a predictive model controller for the clutch of a hybrid electric vehicle. The new controller for clutch engagement and slip has been tested with vehicle vibration reduction in critical frequencies. Results show that adjusting the clutch slip and increasing the clutch damping considerably reduce the vehicle vibration in critical frequencies. The new control system can handle the clutch engagement adequately with low jerk and high comfort. The study offers useful contributions to the development of clutch automation strategies for hybrid electric vehicles.

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Flatness-Based Clutch Control for Automated Manual Transmissions

Cited by 9 publications

References 3 publications

Real-Time Estimation of Transmitted Torque on Each Clutch for Ground Vehicles With Dual Clutch Transmission

Real-Time Estimation of Transmitted Torque on Each Clutch for Ground Vehicles With Dual Clutch Transmission

Characterization and tracking control of a nonlinear electrohydraulic valve-cylinder system

Clutch control and vibration reduction for a hybrid electric vehicle

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