Hydraulic chassis systems with electrically powered hydraulic steering and active roll control

ATZ worldwide ◽  
2007 ◽  
Vol 109 (3) ◽  
pp. 11-15
Author(s):  
Dirk Nissing ◽  
Jochen Gessat ◽  
Thilo Bitzer ◽  
Alois Seewald
Keyword(s):  
Roll Control ◽  
Hydraulic Steering ◽  
Active Roll Control

Chassis Development in Practice - Noise Behavior of a Mechatronic Active Roll Control

ATZ worldwide ◽  
2021 ◽  
Vol 123 (5-6) ◽  
pp. 16-21
Author(s):  
Harald Schäfer ◽  
Mark Nichols ◽  
Alfred Pecher
Keyword(s):  
Roll Control ◽  
Active Roll Control

Improvement in the rollover stability of a liquid-carrying articulated vehicle via a new robust controller

2016 ◽  
Vol 231 (3) ◽  
pp. 322-346 ◽  
Author(s):  
Mohammad Amin Saeedi ◽  
Reza Kazemi ◽  
Shahram Azadi
Keyword(s):  
Control System ◽  
Sliding Mode Control ◽  
Dynamic Model ◽  
Sliding Mode ◽  
Degree Of Freedom ◽  
Roll Control ◽  
Mode Control ◽  
Active Steering ◽  
Articulated Vehicle ◽  
Active Roll Control

In this paper, in order to improve the roll stability of an articulated vehicle carrying a liquid, an active roll control system is utilized by employing two different control methods. First, a 16-degree-of-freedom non-linear dynamic model of an articulated vehicle is developed. Next, the dynamic interaction of the liquid cargo with the vehicle is investigated by integrating a quasi-dynamic liquid sloshing model with a tractor–semitrailer model. Initially, to improve the lateral dynamic stability of the vehicle, an active roll control system is developed using classical integral sliding-mode control. The active anti-roll bar is employed as an actuator to generate the roll moment. Next, in order to verify the classical sliding-mode control performance and to eliminate its chattering, the backstepping method and the sliding-mode control method are combined. Subsequently, backstepping sliding-mode control as a new robust control is implemented. Moreover, in order to prevent both yaw instability and jackknifing, an active steering control system is designed on the basis of a simplified three-degree-of-freedom dynamic model of an articulated vehicle carrying a liquid. In the introduced system, the yaw rate of the tractor, the lateral velocity of the tractor and the articulation angle are considered as the three state variables which are targeted in order to track their desired values. The simulation results show that the combined proposed roll control system is more successful in achieving target control and reducing the lateral load transfer ratio than is classical sliding-mode control. A more detailed investigation confirms that the designed active steering system improves both the lateral stability of the vehicle and its handling, in particular during a severe lane-change manoeuvre in which considerable instability occurs.

Active Roll Control of Heavy Single Unit Vehicles Employing MEMS Angular Rate Sensors

2007 ◽  
Author(s):  
Samuel F. Asokanthan ◽  
Ye Tian ◽  
Tianfu Wang
Keyword(s):  
Single Unit ◽  
Dynamic Models ◽  
Low Cost ◽  
Angular Rate ◽  
Micro Electro Mechanical System ◽  
Angular Rate Sensor ◽  
Linear Quadratic ◽  
Roll Control ◽  
Active Roll Control ◽  
Rate Sensor

The present paper is concerned with the use of active roll control to improve the roll stability of heavy road-vehicles and the application of Micro-electro-mechanical System (MEMS) angular rate sensors in the feedback monitoring. For this purpose, mathematical models that represent the roll/yaw dynamics for a torsionally rigid Single Unit Vehicle (SUV) is presented. The state-space models that represent the vehicle dynamics are also developed for the purpose of performing numerical simulations. A linear Quadratic Gaussian (LQG) based controller, using Kalman estimator to estimate certain states, is employed to design a full-state active roll control system. A mathematical model that represents the dynamic behavior of a low-cost MEMS gyroscope is derived for the purpose of investigating the suitability of applying this class of angular rate sensor in the roll control of heavy vehicles. Some reliability issues related to MEMS sensors, such as noise and drift, are introduced and included in vehicle dynamic models.

An Investigation of Active Roll Control of Heavy Road Vehicles

1994 ◽  
Vol 23 (sup1) ◽  
pp. 308-321 ◽  
Author(s):  
R. C. LIN ◽  
D. CEBON ◽  
D. J. COLE
Keyword(s):  
Road Vehicles ◽  
Roll Control ◽  
Active Roll Control

scholarly journals ROBUST YAW CONTROL DESIGN WITH ACTIVE DIFFERENTIAL AND ACTIVE ROLL CONTROL SYSTEMS

2005 ◽  
Vol 38 (1) ◽  
pp. 73-78 ◽  
Author(s):  
Johannes Gerhard ◽  
Maria-Christina Laiou ◽  
Martin Monnigmann ◽  
Wolfgang Marquardt ◽  
Mohsen Lakehal-Ayat ◽  
...  
Keyword(s):  
Control Systems ◽  
Control Design ◽  
Roll Control ◽  
Yaw Control ◽  
Active Roll Control

Fuzzy Logic Controller Designing of an Active Roll Control System for Medium and Large Size Vehicles

2011 ◽  
Vol 110-116 ◽  
pp. 4845-4855 ◽  
Author(s):  
Peiman Hajishafieiha
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Logic Controller ◽  
Roll Angle ◽  
Torsional Stiffness ◽  
Roll Control ◽  
Large Size ◽  
Handling Characteristics ◽  
Active Roll Control ◽  
Roll Axis

The roll / ride trade-off is a long-standing challenge to vehicle dynamicists. Achieving better ride performance almost inevitably leads to increased roll of the vehicle. This roll motion, mostly induced by maneuvering, leads to undesirable handling characteristics and subsequently higher risk of rollover. This paper analyses the use of an Active Roll Control (ARC) system with a Fuzzy Logic Controller (FLC) for improving the handling without sacrificing the ride comfort. The logic for reducing the roll angle of the vehicle is to have some forces exerted by linear actuators on the suspension system, depending on the velocity and steering angle of the vehicle. These forces create a moment about the roll axis which decreases the roll angle. The proposed Fuzzy logic controller is a feedback controller which outputs the correcting roll moment about the roll axis. The effects of employing such a control system are evaluated through computer simulation. Torsional stiffness of the chassis is then taken into consideration to account for unique properties of large-size vehicles. Simulation results with Fuzzy logic controller are very promising and show that the roll performance is significantly improved compared to the vehicle without ARC.

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