Effect of Traction Force Distribution Control on Vehicle Dynamics

1993 ◽  
Vol 22 (5-6) ◽  
pp. 455-464 ◽  
Author(s):  
S. MOTOYAMA ◽  
H. UKI ◽  
K. ISODA Manager ◽  
H. YUASA Manager
Keyword(s):  
Vehicle Dynamics ◽  
Traction Force ◽  
Force Distribution

scholarly journals Three-Dimensional Traction Force Distribution in Migrating Amoeboid Cells

2011 ◽  
Vol 100 (3) ◽  
pp. 304a
Author(s):  
Begona Alvarez-Gonzalez ◽  
Juan Carlos ◽  
del Alamo ◽  
Ruedi Meili ◽  
Baldomero Alonso-Latorre ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Traction Force ◽  
Force Distribution ◽  
Amoeboid Cells

scholarly journals Periodic traction in migrating large amoeba of Physarum polycephalum

2015 ◽  
Vol 12 (106) ◽  
pp. 20150099 ◽  
Author(s):  
Jean-Paul Rieu ◽  
Hélène Delanoë-Ayari ◽  
Seiji Takagi ◽  
Yoshimi Tanaka ◽  
Toshiyuki Nakagaki
Keyword(s):  
Physarum Polycephalum ◽  
Traction Force ◽  
Cortical Layer ◽  
Force Distribution ◽  
Locomotory Activity ◽  
Multinucleated Cell ◽  
Force Microscopy ◽  
Giant Multinucleated Cell ◽  
Shuttle Streaming

The slime mould Physarum polycephalum is a giant multinucleated cell exhibiting well-known Ca 2+ -dependent actomyosin contractions of its vein network driving the so-called cytoplasmic shuttle streaming. Its actomyosin network forms both a filamentous cortical layer and large fibrils. In order to understand the role of each structure in the locomotory activity, we performed birefringence observations and traction force microscopy on excised fragments of Physarum . After several hours, these microplasmodia adopt three main morphologies: flat motile amoeba, chain types with round contractile heads connected by tubes and motile hybrid types. Each type exhibits oscillations with a period of about 1.5 min of cell area, traction forces and fibril activity (retardance) when fibrils are present. The amoeboid types show only peripheral forces while the chain types present a never-reported force pattern with contractile rings far from the cell boundary under the spherical heads. Forces are mostly transmitted where the actomyosin cortical layer anchors to the substratum, but fibrils maintain highly invaginated structures and contribute to forces by increasing the length of the anchorage line. Microplasmodia are motile only when there is an asymmetry in the shape and/or the force distribution.

Design of an Integrated AFS/ACD Control System to Enhance 4WD Vehicles Dynamics and Stability

2010 ◽  
Author(s):  
Avesta Goodarzi ◽  
Samaneh Arabi ◽  
Ebrahim Esmailzadeh
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Logic Controller ◽  
Traction Force ◽  
Slip Angle ◽  
Force Distribution ◽  
Vehicle Stability ◽  
Handling Performance ◽  
Yaw Rate ◽  
The Ideal

An integrated vehicle dynamic control system for a four-wheel drive vehicle with an active front steering (AFS) and active centre differential (ACD), based on fuzzy logic control, is developed to improve the vehicle stability and its handling performance. The control system has a hierarchical structure consisting of two layers. A fuzzy logic controller is used in the upper layer to keep the yaw rate in its desired value. The yaw rate error and the side slip angle are applied to the upper controlling layer as the inputs, where the desired traction torque transfer ratio and the steering angle correction of the front wheels are the outputs. However, the ideal control effectors could not directly be the control inputs for the centre differential. Therefore, in the lower control loop, one should map the ideal control effectors to the physical control inputs for the centre differential by optimum dynamic traction force distribution. A nonlinear eight degree-of-freedom (DOF) vehicle model with the traction force distribution being utilized by a PI controller is considered. The simulation results illustrate considerable improvements have been achieved for the vehicle stability and handling performance through the integrated AFS/ACD control system.

Coordinated Longitudinal and Lateral Motion Control of Vehicles for IVHS

1998 ◽  
Vol 123 (3) ◽  
pp. 535-543 ◽  
Author(s):  
Hyeongcheol Lee ◽  
Masayoshi Tomizuka
Keyword(s):  
Vehicle Dynamics ◽  
Control Method ◽  
Traction Force ◽  
Robust Adaptive Control ◽  
Traction Forces ◽  
Bicycle Model ◽  
Combined Control ◽  
Driving Condition ◽  
Robust Adaptive ◽  
Force Concept

This paper presents a systematic design of the combined control of vehicle longitudinal and lateral motions for the Intelligent Vehicle Highway Systems (IVHS). A fully coordinated control of the steering and the accelerating/braking actions is presented to maximize the ability of distributing the traction forces in a desired way. This control method covers a broad range of driving condition by removing several conventional simplification on vehicle dynamics, such as the linearized lateral traction force assumption, the bicycle model assumption, and the non-slip assumption. The nominal traction force concept is also introduced to handle the unknown traction forces. Robust Adaptive Control (RAC) by backstepping for MIMO nonlinear systems is utilized to control the unmatched nonlinear vehicle dynamics, in the presence of parametric uncertainties and uncertain nonlinearities.

Nonlinear-Feedback Vehicle Traction Force Control With Load Transfer

2009 ◽  
Author(s):  
Annalisa Scacchioli ◽  
Panagiotis Tsiotras ◽  
Jianbo Lu
Keyword(s):  
Vehicle Dynamics ◽  
High Speed ◽  
Load Transfer ◽  
Traction Force ◽  
Feedback Regulation ◽  
Operating Conditions ◽  
Nonlinear Feedback ◽  
Low Friction ◽  
Model Uncertainties ◽  
Force Profile

This article deals with the nonlinear feedback regulation of the longitudinal traction forces for high-speed vehicles, possibly over a low friction surface. Hybrid models of the longitudinal vehicle dynamics incorporating load transfer effects, a crucial element in advanced driving techniques, are derived. The designed hybrid regulator allows the tracking of a given friction force profile in the presence of known disturbances and unknown model uncertainties. Simulations show good performance of the proposed hybrid regulator under all operating conditions.

Dynamic Brake Force Distribution for Heavy Commercial Road Vehicles Using Wheel Slip Regulation

2019 ◽  
Author(s):  
Akhil Challa ◽  
K. B. Devika ◽  
Shankar C. Subramanian ◽  
Gunasekaran Vivekanandan ◽  
Sriram Sivaram
Keyword(s):  
Sliding Mode ◽  
Traction Force ◽  
Simulation Software ◽  
Force Distribution ◽  
Vehicle Dynamic ◽  
Road Vehicles ◽  
Wheel Slip ◽  
Braking Performance ◽  
Brake Force ◽  
Brake Force Distribution

Abstract Wheel lock is an undesired phenomenon in Heavy Commercial Road Vehicles (HCRVs) and wheel slip control within a desired range is of crucial importance for stable and effective braking. This study proposes a framework to distribute brake force dynamically between the front and rear wheels, primarily to avoid instability by preventing wheel lock. Further, it ensures the maximum utilization of the available traction force at the tire-road interface that varies during the course of braking due to factors like load transfer. Wheel slip regulation provides an approach to maximize braking performance that subsumes the effects of varying road, load and braking conditions that occur during vehicle deceleration. The methodology proposed consists of a wheel slip controller that calculates the required brake force distribution parameters, which are then provided to the brake controller for control action. Sliding mode control was used because of the nonlinear nature of the longitudinal vehicle dynamic model considered and for robustness towards different parameter variations. The algorithm was implemented on a Hardware-in-Loop test setup consisting of a pneumatic air brake system, interfaced with IPG-TruckMaker® (a vehicle dynamic simulation software), and co-simulated with MATLAB-Simulink®. It was found that this algorithm improved the braking performance of a HCRV both in terms of stopping distance and vehicle stability.

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