Zhenhua Liu
Research Subjects
Zhenhua Liu has a total of 2 co-authors. Here are the top co-authors by number of shared publications:
- Dingxuan Zhao
Yanshan University
1 shared publication - Lizhe Wu
School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China
1 shared publication
Latest Publications
- Open Access
Command-Filtered Yaw Stability Control of Vehicles with State Constraints
Yaw stability control is crucial for ensuring the driving safety of intelligent vehicles. This paper proposes a state-constrained command-filtered control (CFC) approach for vehicle yaw stability. The proposed method employs a barrier Lyapunov function (BLF) to effectively constrain the vehicle’s sideslip angle and yaw rate, thereby enhancing system stability and safety. Meanwhile, a command-filtered control strategy is introduced to reduce computational complexity, and an error compensation mechanism is incorporated to mitigate the adverse effects of filter-induced errors on system performance. To validate the effectiveness and robustness of the proposed method, simulations are conducted under different road adhesion conditions and driving speeds. The results demonstrate that the proposed control approach effectively suppresses both understeer and oversteer phenomena, significantly improving vehicle handling stability. This study provides theoretical support and practical insights for the engineering application of yaw stability control in intelligent vehicles.
Open AccessCommand-Filtered Yaw Stability Control of Vehicles with State Constraints
Yaw stability control is crucial for ensuring the driving safety of intelligent vehicles. This paper proposes a state-constrained command-filtered control (CFC) approach for vehicle yaw stability. The proposed method employs a barrier Lyapunov function (BLF) to effectively constrain the vehicle’s sideslip angle and yaw rate, thereby enhancing system stability and safety. Meanwhile, a command-filtered control strategy is introduced to reduce computational complexity, and an error compensation mechanism is incorporated to mitigate the adverse effects of filter-induced errors on system performance. To validate the effectiveness and robustness of the proposed method, simulations are conducted under different road adhesion conditions and driving speeds. The results demonstrate that the proposed control approach effectively suppresses both understeer and oversteer phenomena, significantly improving vehicle handling stability. This study provides theoretical support and practical insights for the engineering application of yaw stability control in intelligent vehicles.