Robust car steering by yaw rate control

1990 ◽  
Author(s):  
J. Ackermann
Keyword(s):  
Rate Control ◽  
Yaw Rate

scholarly journals On the Design of Yaw Rate Control via Variable Front-to-Total Anti-Roll Moment Distribution

2020 ◽  
Vol 69 (2) ◽  
pp. 1388-1403 ◽  
Author(s):  
Marco Ricco ◽  
Mattia Zanchetta ◽  
Giovanni Cardolini Rizzo ◽  
Davide Tavernini ◽  
Aldo Sorniotti ◽  
...  
Keyword(s):  
Rate Control ◽  
Roll Moment ◽  
Yaw Rate ◽  
Moment Distribution

Vehicle yaw rate control using tyre force measurements

2015 ◽  
Author(s):  
Anil Kunnappillil Madhusudhanan ◽  
Matteo Corno ◽  
Edward Holweg
Keyword(s):  
Rate Control ◽  
Force Measurements ◽  
Yaw Rate

Yaw-Rate Control of Mobile Machines with Wheels using Torque-Generating Equipment

2004 ◽  
Vol 2004.57 (0) ◽  
pp. 403-404
Author(s):  
Tomohiro FUJIWARA ◽  
Koji YOSHIDA ◽  
Hiroaki KAWABATA
Keyword(s):  
Rate Control ◽  
Yaw Rate ◽  
Generating Equipment

scholarly journals Optimal Yaw Rate Control for Over-Actuated Vehicles

2020 ◽  
Author(s):  
Moad Kissai ◽  
Bruno Monsuez ◽  
Xavier Mouton ◽  
Didier Martinez ◽  
Adriana Tapus
Keyword(s):  
Rate Control ◽  
Yaw Rate

A Generalized Robust Control Framework Utilizing Dimensional Analysis

2005 ◽  
Author(s):  
Yan Li ◽  
Andrew Alleyne
Keyword(s):  
Dimensional Analysis ◽  
Rate Control ◽  
Passenger Vehicle ◽  
Vehicle Model ◽  
Robust Controller ◽  
Yaw Rate ◽  
Vehicle Data ◽  
Control Framework ◽  
Engineered Systems ◽  
Parameter Dependent

Most engineered systems designed under heavy external constraints share similar dynamics. Using a dimensionless model as system representation, a dimensionless robust controller can be designed and implemented for a class of dynamically similar systems that are different in size. Dimensionless transformations of time scale, inputs and outputs determine a nominal plant model and plant-to-plant uncertainties in a dimensionless form. Using parameter-dependent normalization, a normalized dimensionless model can be derived that has low level of plant-to-plant uncertainties. The benefit of this dimensional analysis is demonstrated by the analysis of a passenger vehicle model for yaw rate control with a database consisting of 36 sets of vehicle data.

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