Integrated chassis control of active front steering and yaw stability control based on improved inverse nyquist array
Bing Zhu1, Yizhou Chen2, Jian Zhao2
1State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China ; Key Laboratory of Bionic Engineering of Ministry of Education, Jilin University, Changchun 130022, China.
Thescientificworldjournal
|May 1, 2014
Summary
This study introduces an integrated chassis control (ICC) system using an improved Inverse Nyquist Array (INA) method for active front steering (AFS) and yaw stability control (YSC). The system effectively decouples vehicle dynamics, enhancing handling and stability.
Area of Science:
- Automotive Engineering
- Control Systems Theory
- Vehicle Dynamics
Background:
- Vehicle stability and handling are critical for safety and performance.
- Existing control systems often struggle with nonlinear dynamics and varying conditions.
- Decoupling vehicle dynamics is a key challenge in integrated chassis control.
Purpose of the Study:
- To develop and validate an integrated chassis control (ICC) algorithm for enhanced vehicle handling and stability.
- To apply an improved Inverse Nyquist Array (INA) method for decoupling nonlinear vehicle dynamics.
- To incorporate active front steering (AFS) and yaw stability control (YSC) within the ICC framework.
Main Methods:
- Utilized an improved Inverse Nyquist Array (INA) method with a 2-degree-of-freedom (DOF) planar vehicle reference model.
- Developed an analytical solution for precompensator design considering velocity and cornering stiffness changes.
- Implemented a dynamic compensator and a PI feedback controller to ensure system stability.
- Conducted simulations using 2-DOF and 14-DOF vehicle models in Matlab/Simulink.
Main Results:
- Successfully decoupled the plant dynamics across different frequency bands.
- Demonstrated significant improvements in vehicle handling and stability performance.
- Validated the effectiveness of the INA-based algorithm on nonlinear vehicle systems.
- Confirmed robust performance under step steering maneuvers.
Conclusions:
- The proposed ICC algorithm effectively decouples vehicle dynamics using the improved INA method.
- The integrated system significantly enhances both vehicle handling and yaw stability.
- The method provides a fast and reliable solution for nonlinear vehicle control.
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