Integrated chassis control of active front steering and yaw stability control based on improved inverse nyquist array method.
An integrated chassis control (ICC) system with active front steering (AFS) and yaw stability control (YSC) is introduced in this paper. The proposed ICC algorithm uses the improved Inverse Nyquist Array (INA) method based on a 2-degree-of-freedom (DOF) planar vehicle reference model to decouple the plant dynamics under different frequency bands, and the change of velocity and cornering stiffness were considered to calculate the analytical solution in the precompensator design so that the INA based algorithm runs well and fast on the nonlinear vehicle system. The stability of the system is guaranteed by dynamic compensator together with a proposed PI feedback controller. After the response analysis of the system on frequency domain and time domain, simulations under step steering maneuver were carried out using a 2-DOF vehicle model and a 14-DOF vehicle model by Matlab/Simulink. The results show that the system is decoupled and the vehicle handling and stability performance are significantly improved by the proposed method.
State 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.
Bing
0000-0002-6068-4040
B
Zhu
State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China.
Yizhou
0000-0002-1767-9377
Y
Chen
State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China.
Jian
0000-0002-9917-6836
J
Zhao
D000465:Algorithms; D001185:Artificial Intelligence; D001334:Automobile Driving; D001336:Automobiles; D003198:Computer Simulation; D004738:Engineering / Q000379:methods; D006801:Humans; D008962:Models, Theoretical; D012985:Software Design