Jianlong Wang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Jianlong Wang has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Bo Chang
College of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
2 shared publications - Chuanwei Zhang
School of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
2 shared publications - Jian Ma
College of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
1 shared publication - Lei Lei
College of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
1 shared publication - Shuaitian Li
College of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
1 shared publication
Latest Publications
- Open Access
- 10 September 2021
- Published by MDPI AG in World Electric Vehicle Journal
- Vol. 12 (3) , 153
Robust Control Design of Active Front-Wheel Steering on Low-Adhesion Road Surfaces
In order to improve the stability of vehicle steering on low-adhesion road surfaces, this paper designed a hybrid robust control strategy, H2/H∞, for active front-wheel steering (AFS) based on robust control theory. Firstly, we analyzed the influence of the sidewall stiffness and road adhesion coefficient of the tires on vehicle stability, through which we can study the wheel deflection characteristics of low-adhesion roads. Secondly, the reference yaw velocity of the vehicle was calculated using the three-degrees-of-freedom model as the reference model, through which, taking the norm H∞ as the objective function and the norm H2 as the limit to control the output, the hybrid robust control strategy H2/H∞ of the AFS system on a low-adhesion road surface was developed. Finally, the simulation experiment was carried out by the Simulink/CarSim co-simulation platform and a hardware-in-the-loop (HIL) experiment. In this paper, the results show that the AFS control strategy can improve the vehicle handling stability on low-adhesion road surfaces, and the controller has good path tracking performance and robustness.
- 10 September 2021
- Published by MDPI AG in World Electric Vehicle Journal
- Vol. 12 (3) , 153
Open AccessRobust Control Design of Active Front-Wheel Steering on Low-Adhesion Road Surfaces
In order to improve the stability of vehicle steering on low-adhesion road surfaces, this paper designed a hybrid robust control strategy, H2/H∞, for active front-wheel steering (AFS) based on robust control theory. Firstly, we analyzed the influence of the sidewall stiffness and road adhesion coefficient of the tires on vehicle stability, through which we can study the wheel deflection characteristics of low-adhesion roads. Secondly, the reference yaw velocity of the vehicle was calculated using the three-degrees-of-freedom model as the reference model, through which, taking the norm H∞ as the objective function and the norm H2 as the limit to control the output, the hybrid robust control strategy H2/H∞ of the AFS system on a low-adhesion road surface was developed. Finally, the simulation experiment was carried out by the Simulink/CarSim co-simulation platform and a hardware-in-the-loop (HIL) experiment. In this paper, the results show that the AFS control strategy can improve the vehicle handling stability on low-adhesion road surfaces, and the controller has good path tracking performance and robustness.
- Open Access
- 4 August 2021
- Published by MDPI AG in World Electric Vehicle Journal
- Vol. 12 (3) , 105
Observation of Dynamic State Parameters and Yaw Stability Control of Four-Wheel-Independent-Drive EV
Vehicle yaw stability control is an important part of the active safety of electric vehicles. In order to realize the yaw stability control of vehicles, this paper takes 4-WID electric vehicles as the research object, studies the nonlinear estimation of the state parameters of the lateral stability dynamic system and the yaw stability control strategy. The vehicle state parameter estimation strategy, based on the unscented Kalman filter (UKF) algorithm and the model predictive control algorithm, are designed to control the vehicle yaw stability, which realizes the safe and stable driving of the vehicle. Through CarSim–Simulink joint simulation and hardware-in-the-loop (HIL) experiments based on MicroAutoBox, the effectiveness and real-time performance of the designed control strategy are fully verified, which accelerate the development process of the vehicle controller, and realizes the safe and stable driving of the vehicle.
- 4 August 2021
- Published by MDPI AG in World Electric Vehicle Journal
- Vol. 12 (3) , 105
Open AccessObservation of Dynamic State Parameters and Yaw Stability Control of Four-Wheel-Independent-Drive EV
Vehicle yaw stability control is an important part of the active safety of electric vehicles. In order to realize the yaw stability control of vehicles, this paper takes 4-WID electric vehicles as the research object, studies the nonlinear estimation of the state parameters of the lateral stability dynamic system and the yaw stability control strategy. The vehicle state parameter estimation strategy, based on the unscented Kalman filter (UKF) algorithm and the model predictive control algorithm, are designed to control the vehicle yaw stability, which realizes the safe and stable driving of the vehicle. Through CarSim–Simulink joint simulation and hardware-in-the-loop (HIL) experiments based on MicroAutoBox, the effectiveness and real-time performance of the designed control strategy are fully verified, which accelerate the development process of the vehicle controller, and realizes the safe and stable driving of the vehicle.