Integrated Chassis Control to Improve Vehicle Handling Dynamics Performance

2011 ◽  
Author(s):  
Chandrasekaran Rengaraj ◽  
David Crolla
Keyword(s):  
Vehicle Handling ◽  
Integrated Chassis Control ◽  
Chassis Control

Development of Integrated Chassis Control System for Vehicle Handling Enhancement

2008 ◽  
Author(s):  
Chinar Ghike ◽  
Taehyun Shim
Keyword(s):  
Control System ◽  
Tire Model ◽  
Vehicle Handling ◽  
Integrated Chassis Control ◽  
Nonlinear Predictive Control ◽  
Moment Distribution ◽  
Control Scheme ◽  
Wheel Torque ◽  
Chassis Control ◽  
Vehicle Motion

Various active chassis control systems have been developed to improve vehicle handling and stability. Brake-based electronic stability programs and advanced driveline technologies can distribute different wheel torque to all four wheels to regulate vehicle motion. Active front and rear steer systems are widely used to control the vehicle yaw rate and side slip responses. In addition, active anti-roll bars can improve vehicle handling by adjusting roll moment distribution. This paper proposes an integrated chassis control scheme that combines these individual systems using nonlinear predictive control theory. An 8 degree-of-freedom vehicle model is used with a Magic Formula tire model for controller development. The performance of proposed controller is compared to individual control system through simulation and shows significant improvement in vehicle handling.

MPC Based Integrated Chassis Control to Enhance Vehicle Handling Considering Roll Stability

2011 ◽  
Author(s):  
Ganesh Adireddy ◽  
Taehyun Shim
Keyword(s):  
Control System ◽  
High Speed ◽  
Control Method ◽  
Torque Distribution ◽  
Vehicle Handling ◽  
Integrated Chassis Control ◽  
Wheel Torque ◽  
Vehicle Rollover ◽  
Chassis Control ◽  
Vehicle Chassis

An integrated vehicle chassis control system was developed to improve vehicle handling (yaw) responses while maintain vehicle roll stability using an 8 DOF vehicle model, a simplified tire model, and a model predictive control method. The proposed control system incorporates active wheel torque distribution, active front steering, and active anti-rollbar to enhance vehicle handling and its ability to track the desired trajectory when the risk of vehicle rollover is low. As vehicle rollover risks increase, the proposed control system shifts its control focus from only handling enhancement to vehicle roll stabilization by adjusting the gains in the controller. The simulation results show that the proposed control system can improve vehicle handling responses while ensuring vehicle roll stability at high speed vehicle maneuvers.

Integrated Control of Tire Normal Forces and Active Front Steering to Enhance Vehicle Handling

2005 ◽  
Author(s):  
Carl March ◽  
Taehyun Shim ◽  
Yi Zhang
Keyword(s):  
Normal Force ◽  
Integrated Control ◽  
Vehicle Handling ◽  
Normal Forces ◽  
Yaw Rate ◽  
Integrated Chassis Control ◽  
Active Front Steering ◽  
Management Scheme ◽  
Control Scheme ◽  
Chassis Control

This paper presents the development of an active front steering (AFS) control system and normal force control (NFC) scheme utilizing fuzzy reasoning to track neutral steer yaw rate. The performance of the stand-alone controllers is compared with an integrated chassis management scheme combining the two. The simulation results indicate that the NFC by the active suspension as a stand-alone system shows improvement in vehicle handling response. The integrated chassis control scheme utilizing the steering and suspension controllers is proven to be more effective in attaining the desired performance that would not be attained individually.

scholarly journals Integrated chassis control: Classification, analysis and future trends

2021 ◽  
Author(s):  
Victor Mazzilli ◽  
Stefano De Pinto ◽  
Leonardo Pascali ◽  
Michele Contrino ◽  
Francesco Bottiglione ◽  
...  
Keyword(s):  
Future Trends ◽  
Classification Analysis ◽  
Integrated Chassis Control ◽  
Chassis Control

scholarly journals Design of an Integrated Vehicle Chassis Control System with Driver Behavior Identification

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Bing Zhu ◽  
Yizhou Chen ◽  
Jian Zhao ◽  
Yunfu Su
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Driver Behavior ◽  
Stability Performance ◽  
Integrated Chassis Control ◽  
Yaw Moment Control ◽  
Chassis Control ◽  
Lane Change Test ◽  
Behavior Characteristics ◽  
Vehicle Chassis

An integrated vehicle chassis control strategy with driver behavior identification is introduced in this paper. In order to identify the different types of driver behavior characteristics, a driver behavior signals acquisition system was established using the dSPACE real-time simulation platform, and the driver inputs of 30 test drivers were collected under the double lane change test condition. Then, driver behavior characteristics were analyzed and identified based on the preview optimal curvature model through genetic algorithm and neural network method. Using it as a base, an integrated chassis control strategy with active front steering (AFS) and direct yaw moment control (DYC) considering driver characteristics was established by model predictive control (MPC) method. Finally, simulations were carried out to verify the control strategy by CarSim and MATLAB/Simulink. The results show that the proposed method enables the control system to adjust its parameters according to the driver behavior identification results and the vehicle handling and stability performance are significantly improved.

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