scholarly journals Sliding Mode Integrated Control for Vehicle Systems Based on AFS and DYC

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Chao Lu ◽  
Jing Yuan ◽  
Genlong Zha

This paper has investigated an integrated control of active front steering (AFS) and direct yaw-moment control (DYC) for vehicle systems. First of all, the desired yaw rate and sideslip angle are estimated by using a two-degree-of-freedom (2-DOF) model of the vehicle system. On this basis, the actual sideslip angle is estimated by means of an observer. Then, the sliding mode control (SMC) is developed for AFS and DYC, respectively, to guarantee that the actual yaw rate and the sideslip angle track their reference signals. Additionally, the disturbance observer (DOB) technique is introduced to further improve the control performance. Finally, the simulation results validate the superiority of the AFS and DYC integrated control by using CarSim software during the following conditions: double lane change and side wind disturbance.

2021 ◽  
Vol 29 (1) ◽  
pp. 124-139 ◽  
Author(s):  
Basilio Lenzo ◽  
Mattia Zanchetta ◽  
Aldo Sorniotti ◽  
Patrick Gruber ◽  
Wouter De Nijs

Vehicles ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 127-144
Author(s):  
Andoni Medina ◽  
Guillermo Bistue ◽  
Angel Rubio

Direct Yaw Moment Control (DYC) is an effective way to alter the behaviour of electric cars with independent drives. Controlling the torque applied to each wheel can improve the handling performance of a vehicle making it safer and faster on a race track. The state-of-the-art literature covers the comparison of various controllers (PID, LPV, LQR, SMC, etc.) using ISO manoeuvres. However, a more advanced comparison of the important characteristics of the controllers’ performance is lacking, such as the robustness of the controllers under changes in the vehicle model, steering behaviour, use of the friction circle, and, ultimately, lap time on a track. In this study, we have compared the controllers according to some of the aforementioned parameters on a modelled race car. Interestingly, best lap times are not provided by perfect neutral or close-to-neutral behaviour of the vehicle, but rather by allowing certain deviations from the target yaw rate. In addition, a modified Proportional Integral Derivative (PID) controller showed that its performance is comparable to other more complex control techniques such as Model Predictive Control (MPC).


2018 ◽  
Vol 41 (9) ◽  
pp. 2428-2440 ◽  
Author(s):  
Jiaxu Zhang ◽  
Jing Li

This paper presents an integrated vehicle chassis control (IVCC) strategy to improve vehicle handling and stability by coordinating active front steering (AFS) and direct yaw moment control (DYC) in a hierarchical way. In high-level control, the corrective yaw moment is calculated by the fast terminal sliding mode control (FTSMC) method, which may improve the transient response of the system, and a non-linear disturbance observer (NDO) is used to estimate and compensate for the model uncertainty and external disturbance to suppress the chattering of FTSMC. In low-level control, the null-space-based control reallocation method and inverse tyre model are utilized to transform the corrective yaw moment to the desired longitudinal slips and the steer angle increment of front wheels by considering the constraints of actuators and friction ellipse of each wheel. Finally, the performance of the proposed control strategy is verified through simulations of various manoeuvres based on vehicle dynamic software CarSim.


1997 ◽  
Vol 27 (5-6) ◽  
pp. 357-370 ◽  
Author(s):  
MASAO NAGAI ◽  
YUTAKA HIRANO ◽  
SACHIKO YAMANAKA

2012 ◽  
Vol 246-247 ◽  
pp. 847-852 ◽  
Author(s):  
Bing Zhu ◽  
Li Tong Guo ◽  
Jian Zhao ◽  
Fang Gao ◽  
Zhen Pan ◽  
...  

This paper presents a Direct Yaw-moment Control (DYC) strategy to prevent light vehicles from entering the unsteady state and improve the handling stability. A novelty of this work is the ability to achieve superior performance through the lower workload of the actuators by using the optimal control allocation method to distribute the active yaw moment. In the main-loop, the DYC controller is designed based on the classical PID algorithm with the yaw rate and sideslip angle feedback. Simulation tests are carried out on the conditions of sine steering and single lane change steering. Results indicate that the working potential of each actuator can be fully utilized and a significant improvement in handling stability can be achieved from the DYC system.


2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Wanke Cao ◽  
Zhiyin Liu ◽  
Yuhua Chang ◽  
Antoni Szumanowski

This paper investigates the robust direct yaw-moment control (DYC) through parameter-dependent fuzzy sliding mode control (SMC) approach for all-wheel-independent-drive electric vehicles (AWID-EVs) subject to network-induced delays. AWID-EVs have obvious advantages in terms of DYC over the traditional centralized-drive vehicles. However it is one of the most principal issues for AWID-EVs to ensure the robustness of DYC. Furthermore, the network-induced delays would also reduce control performance of DYC and even deteriorate the EV system. To ensure robustness of DYC and deal with network-induced delays, a parameter-dependent fuzzy sliding mode control (FSMC) method based on the real-time information of vehicle states and delays is proposed in this paper. The results of cosimulations with Simulink® and CarSim® demonstrate the effectiveness of the proposed controller. Moreover, the results of comparison with a conventional FSMC controller illustrate the strength of explicitly dealing with network-induced delays.


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