Lateral stability enhancement of vehicles using adaptive sliding mode based active front steering and direct yaw moment control

2016 ◽  
Author(s):  
Arobindra Saikia ◽  
Chitralekha Mahanta
Keyword(s):  
Sliding Mode ◽  
Lateral Stability ◽  
Adaptive Sliding Mode ◽  
Direct Yaw Moment Control ◽  
Active Front Steering ◽  
Yaw Moment Control ◽  
Moment Control ◽  
Stability Enhancement ◽  
Yaw Moment

Integrated vehicle chassis control for active front steering and direct yaw moment control based on hierarchical structure

2018 ◽  
Vol 41 (9) ◽  
pp. 2428-2440 ◽  
Author(s):  
Jiaxu Zhang ◽  
Jing Li
Keyword(s):  
Sliding Mode ◽  
Null Space ◽  
Level Control ◽  
Direct Yaw Moment Control ◽  
Active Front Steering ◽  
Yaw Moment Control ◽  
Chassis Control ◽  
Moment Control ◽  
Vehicle Chassis ◽  
Yaw Moment

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.

scholarly journals A novel adaptive sliding mode control approach for electric vehicle direct yaw-moment control

2018 ◽  
Vol 10 (10) ◽  
pp. 168781401880317 ◽  
Author(s):  
Chunyun Fu ◽  
Reza Hoseinnezhad ◽  
Kuining Li ◽  
Minghui Hu
Keyword(s):  
Sliding Mode ◽  
Adaptive Sliding Mode Control ◽  
Slip Angle ◽  
Control Approach ◽  
Adaptive Sliding Mode ◽  
Direct Yaw Moment Control ◽  
Control Gain ◽  
Yaw Moment Control ◽  
Moment Control ◽  
Yaw Moment

Direct yaw-moment control systems have been proven effective in enhancing vehicle stability and handling. The existing direct yaw-moment control designs commonly involve computation of tire side-slip angles, which is susceptible to measurement and estimation errors. The fixed control gain of the conventional sliding mode direct yaw-moment control design cannot adapt to variations and uncertainties in vehicle parameters. As a result, its robustness against parametric variations and uncertainties is limited. To improve the control performance, a novel adaptive sliding mode direct yaw-moment control approach is proposed in this article for electric vehicles with independent motors. The proposed method utilizes a varying control gain to adapt to the variations of front and rear tire side-slip angles. Comparative simulation results show that the proposed scheme outperforms the conventional method with inaccurate tire side-slip angle feedback. With the proposed direct yaw-moment control system on-board, the adverse effects of inaccuracies on tire side-slip angles are suppressed and the vehicle’s robustness against parametric variations and uncertainties is enhanced.

scholarly journals Direct Yaw-Moment Control of All-Wheel-Independent-Drive Electric Vehicles with Network-Induced Delays through Parameter-Dependent Fuzzy SMC Approach

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Wanke Cao ◽  
Zhiyin Liu ◽  
Yuhua Chang ◽  
Antoni Szumanowski
Keyword(s):  
Sliding Mode Control ◽  
Electric Vehicles ◽  
Sliding Mode ◽  
Fuzzy Sliding Mode Control ◽  
Direct Yaw Moment Control ◽  
Yaw Moment Control ◽  
Moment Control ◽  
Fuzzy Sliding Mode ◽  
Parameter Dependent ◽  
Yaw Moment

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.

scholarly journals Game-Based Hierarchical Cooperative Control for Electric Vehicle Lateral Stability via Active Four-Wheel Steering and Direct Yaw-Moment Control

Energies ◽  
2019 ◽  
Vol 12 (17) ◽  
pp. 3339 ◽  
Author(s):  
Zhao ◽  
Lu ◽  
Zhang
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Cooperative Control ◽  
Stackelberg Game ◽  
Stability Control ◽  
Lateral Stability ◽  
Direct Yaw Moment Control ◽  
Yaw Moment Control ◽  
Moment Control ◽  
Yaw Moment

A Stackelberg game-based cooperative control strategy is proposed for enhancing the lateral stability of a four-wheel independently driving electric vehicle (FWID-EV). An upper‒lower double-layer hierarchical control structure is adopted for the design of a stability control strategy. The leader‒follower-based Stackelberg game theory (SGT) is introduced to model the interaction between two unequal active chassis control subsystems in the upper layer. In this model, the direct yaw-moment control (DYC) and the active four-wheel steering (AFWS) are treated as the leader and the follower, respectively, based on their natural characteristics. Then, in order to guarantee the efficiency and convergence of the proposed control strategy, a sequential quadratic programming (SQP) algorithm is employed to solve the task allocation problem among the distributed actuators in the lower layer. Also, a double-mode adaptive weight (DMAW)- adjusting mechanism is designed, considering the negative effect of DYC. The results of cosimulation with CarSim and Matlab/Simulink demonstrate that the proposed control strategy can effectively improve the lateral stability by properly coordinating the actions of AFWS and DYC.

scholarly journals Extension Coordinated Multi-Objective Adaptive Cruise Control Integrated with Direct Yaw Moment Control

Actuators ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 295
Author(s):  
Hongbo Wang ◽  
Youding Sun ◽  
Zhengang Gao ◽  
Li Chen
Keyword(s):  
Adaptive Cruise Control ◽  
Lateral Stability ◽  
Cruise Control ◽  
Car Following ◽  
Multi Objective ◽  
Direct Yaw Moment Control ◽  
Yaw Moment Control ◽  
Moment Control ◽  
Overall Performance ◽  
Yaw Moment

An adaptive cruise control (ACC) system can reduce driver workload and improve safety by taking over the longitudinal control of vehicles. Nowadays, with the development of range sensors and V2X technology, the ACC system has been applied to curved conditions. Therefore, in the curving car-following process, it is necessary to simultaneously consider the car-following performance, longitudinal ride comfort, fuel economy and lateral stability of ACC vehicle. The direct yaw moment control (DYC) system can effectively improve the vehicle lateral stability by applying different longitudinal forces to different wheels. However, the various control objectives above will conflict with each other in some cases. To improve the overall performance of ACC vehicle and realize the coordination between these control objectives, the extension control is introduced to design the real-time weight matrix under a multi-objective model predictive control (MPC) framework. The driver-in-the-loop (DIL) tests on a driving simulator are conducted and the results show that the proposed method can effectively improve the overall performance of vehicle control system and realize the coordination of various control objectives.

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