Series Title: Responsibility: by Pietro J. Due to the rotational-translational coupling of tyres and body the longitudinal acceleration of the car passengers is, according to the appearing magnitudes, affected in a way that their driving comfort may be disturbed notably. The paper presents a series of examples concerning systems that provide assisted automated devices i. The research goal is to deal with nonlinear systems subject to various constraints on state and control input. Based on the simulation results of the optimal controller, the reference trajectory of the clutch speed difference and motor torque are obtained using normalized fitting method. Sliding-mode control under the frame of the backstepping technique is used to make the controller robustly adapt to various conditions.
Description The comfort of a car as perceived by the driver can be as important to its commercial success as its performance and fuel efficiency. The high fidelity of the model makes it possible to accurately identify critical drivability issues such as time lags, shunt, shuffle, torque holes and hesitation. The dynamic model is validated in experiments, and it is shown to reduce the error in a transmitted torque from 7% to 3% of the maximum engine torque compared to a static model. Connecting a 2-speed transmission with the drive motor improves the dynamic and economic performance of electric passenger vehicles. In 1984 he received his M.
Due to the strong constraints and large errors of internal combustion torque control only the normal force on the clutch disks is considered as controlled input. Modern double-clutch transmissions allow to shape the acceleration transition by controlling the torque transmitted by the clutch, which is why the question arises about an optimal transition law for the acceleration and optimal calibration of automatic transmissions. Then, taking clutch pressure as optimizing parameter and considering shifting time and ride comfort as optimizing target, this paper researches the clutch pressure control law during gear shifting process, by using the linear quadratic optimal control theory. With this approach, model uncertainties including steady state errors, unmodelled dynamics and disturbances which are known or unknown are treated as a total disturbance. The starting process of pure electric vehicle is divided into mode without throttle opening and mode with throttle opening. All analytical results are compared with numerical simulations. The estimations obtained by each subcomponents are processed together to provide online torque estimation of high accuracy.
A bi-criterion optimization problem is formulated to account for both sportiness and comfort, where the latter criterion is defined as deviation from an ideal acceleration transition. Based on a second order model, a slip control technique for the dry clutch engagement process is proposed. In order to achieve this task, the proposed controller is designed, by integrating backstepping technique and sliding mode output feedback control theory. It is shown that the torque characteristic has little or no dependence on the slip speed, but that there are two dynamic effects that make the torque vary up to 900 Nm for the same clutch actuator position. The servomechanism is assembled with a three-port pneumatic pressure-proportional valve and a position-sensing cylinder which control the release-lever displacement of 25 mm within the position preciseness of 0. It is shown that the limit cycle can be described as a kind of a regular reverse precession of the wobbling disc.
However, it seems that it is not suitable yet for this type of problem. This paper considers the problem of designing an engagement controller for a clutch actuator system having self-energizing mechanism. The strong coupling between the torsion and radial modes appears as an additional effect in a system of two rotating disks with the frictionally transmitted torque. The dual clutch transmission was introduced in vehicles to improve driving comfort compared with manual transmissions, and performances, fuel efficiency compared with automatic transmissions. The dual clutch transmission allows to shift gears quickly, comfortably and without interruption in traction. It is also shown that the control performance is influenced greatly by the estimation error of engine torque and clutch torque, and the acceptable level of mean estimation error is about ±10%.
Unfortunately, the aforementioned results do not consider this factor. Theoretical results will be exploited for various challenging applications in the areas of intelligent vehicles, mechatronics, bio-mechanics and so on. Many concepts for controlling automated clutches use the clutch characteristic as the quasi-steady-state model of torque transmission. The simulation results demonstrate that the proposed control approach has achieved excellent performance indices while at the same time damp the chattering signal commonly encountered in sliding mode techniques. Dry Clutch Control for Automotive Applications analyses the control of a part of the powertrain which has a key role in ride comfort during standing-start and gear-shifting manoeuvres.
Experimental results show both a close match between the predicted and the actual trajectories and a high level of comfort. The dynamic model is validated in experiments, with an error of only 3% of the maximum engine torque, and is shown to improve the behavior significantly compared to a static model. The control algorithm was programmed into a microprocessor and tested in a heavy duty truck. In this chapter, the control scheme is designed to make the clutch speed track a reference trajectory, and the required shift time and shift comfort can be achieved by selecting a proper reference trajectory. An observability analysis is performed showing that the augmented model is fully or partially observable depending on the mode of operation. During the shift inertia phase of the clutch-to-clutch shift, the clutch slip control greatly affects the shift quality smoothness and efficiency. The study developed here tries to answer to those necessities by proposing a generic methodology based on local adaptive observers for scalar nonlinear state-affine systems.
To validate the effectiveness of the proposed estimator, experiments using an actual vehicle are conducted with various scenarios. The limit cycle appearing in the unstable domain is also investigated. High acceleration is desired for sporty driving behavior, however, jerk as change of acceleration and change of jerk are major sources of discomfort. To enhance gearshift quality and the durability of frictional elements, an antishudder gearshift controller design for automatic transmissions is discussed, which both makes turbine speed precisely track the desired trajectory and suppresses the output shaft oscillation. The transmitted torque in a slipping dry clutch is studied in experiments with a heavy duty truck. In this paper we present a new nonlinear observer structure for estimating the tire-road friction force in a vehicle by use of only the known angular wheel velocity.