In order to improve the reliability and braking torque of aircraft electric braking system, this paper selected switched reluctance motor (SRM) as drive motor of electromechanical actuator, static torque data of SRM calculated by finite element analysis were used as training samples, then characteristics of torque-angle were obtained off-line by Generalized Regression Neural Network with partic...

We investigate the feasibility of classifying (inferring) the emergency braking situations in road vehicles from the motion pattern of the accelerator pedal. We trained and compared several classifiers and employed genetic algorithms to tune their associated hyperparameters. Using offline time series data of the dynamics of the accelerator pedal as the test set, the experimental results suggest...

The paper presents an application of neural networks to control braking torques on wheels of an articulated vehicle in an untripped rollover manoeuvre. The numerical model of the articulated vehicle and dynamic optimisation were used to calculate appropriate braking torques for each wheel in order to restore stability. The optimisation problem requires the equations of motion to be integrated a...

The main object was to perform simulations using a realistic model of a truck and trailer passing over a flexible bridge structure. The bridge structure was simplified to a flat surface modeled using shell finite elements. Tire normal, lateral and longitudinal forces were applied to the bridge. Three driving cases were considered: straight forward driving with and without braking and a lane cha...

This study sought to investigate the impact of external cue validity on simulated driving performance in 19 Parkinson's disease (PD) patients and 19 healthy age-matched controls. Braking points and distance between deceleration point and braking point were analysed for red traffic signals preceded either by Valid Cues (correctly predicting signal), Invalid Cues (incorrectly predicting signal), ...

During the braking action, there appear dynamic reactions between the component vehicles of the train, acting on the shock and traction apparatus. Under certain conditions, these forces may reach high values, affecting the passengers’ comfort and, more important, even the safety of the traffic. Considering the train as mechanical model of an elastic-damped system with several liberty degrees, c...

In order to reduce the great number of parking incidences and other collisions in low speed scenarios, an obstacle avoidance algorithm is proposed. Since collision avoidance can be achieved by sole braking when driving slowly this algorithm’s objective is a comfort orientated braking routine. Therefore, an optimization problem is formulated leading to jerk and time optimal trajectories for brak...

1,2,3 B.E. Scholar BVCOE&RI Nashik(India) ABSTARCT Antiknock braking systems are used in modern cars to prevent the wheels from locking after brakes are applied. The dynamics of the controller needed for antiknock braking system depends on various factors. The vehicle model often is in nonlinear form. Controller demand to provide a controlled torque necessary to maintain optimum value of the wh...

A binary in which a slightly evolved star starts mass transfer to a neutron star can evolve towards ultra-short orbital periods under the influence of magnetic braking. This is called magnetic capture. In a previous paper we showed that ultra-short periods are only reached for an extremely small range of initial binary parameters, in particular orbital period and donor mass. Our conclusion was ...