Towards Active Safety Driving: Controller Design of an Active Rear Steering System for Intelligent Vehicles

Hang, Peng; Chen, Xinbo

doi:10.3390/machines10070544

Cited by 3 publications

(2 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This method not only realizes the isolation of the control circuit and the power circuit through the optocoupler, but also realizes good protection for the bleeder circuit. In order to make the bleeding circuit more energy-saving and easy to maintain, [18] proposes a bleeding circuit with high space utilization method. Through designing the dc-bus capacitor discharge drive circuit, the system can detect the dc-bus voltage changes and the stage of the controller pin, so as to avoid the mis-discharge when the bus voltage is not disconnected, and to improve the reliability of the discharge.…”

Section: Introductionmentioning

confidence: 99%

DC-Bus Capacitor Discharge Method Based on Bleeder and Windings for Electric Vehicles in Emergency

Zhang,

Yang

2024

IEEE Access

View full text Add to dashboard Cite

The bleeding circuit is important for dropping the dc-bus voltage to safe voltage when electric vehicles (EVs) encounter an emergency. However, the bleeding circuit may be bulky and heavy to ensure that the total discharge operation is completed in the specified time (5 seconds). In order to reduce the volume and weight of the bleeding circuit, this paper proposes a maximum discharge power method that can maintain the discharge power of the bleeding resistor at the maximum discharge power. The mechanism and disadvantage of traditional uncontrolled rectification (UR) method is analyzed for illustrating the necessity of reducing the bleeding resistor at first. Then, the proposed maximum discharge power is developed based on the established power flow model. For the sake of improving the tracking performance and dynamic performance of the discharge power, an adaptive sliding mode power control (ASMPC) is proposed with the adaptive reaching law, which can effectively reduce the chatting effect on inner current loop. Finally, the proposed strategy is validated on a permanent magnet synchronous motor drive used for EVs, and the results show that the proposed discharge method can not only reduce the bleeding resistor size and weight but also improve the dynamic characteristics.INDEX TERMS Bleeding resistor, dc-bus capacitor, maximum discharge power, permanent magnet synchronous machine (PMSM), power flow model.

show abstract

Section: Introductionmentioning

confidence: 99%

DC-Bus Capacitor Discharge Method Based on Bleeder and Windings for Electric Vehicles in Emergency

Zhang,

Yang

2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…It was shown that the controller could effectively improve the vehicle's overall stability under extreme conditions and has good robustness when the vehicle mass or road adhesion coefficient is uncertain. Hang P. [31] et al designed an active rear steering (ARS) control system. The active safety performance of the vehicle under extreme conditions was investigated.…”

Section: Introductionmentioning

confidence: 99%

Vehicle Stability Analysis under Extreme Operating Conditions Based on LQR Control

Zhou

Bao³

et al. 2022

Sensors

View full text Add to dashboard Cite

Under extreme working conditions such as high-speed driving on roads with a large road surface unevenness coefficient, turning on a road with a low road surface adhesion coefficient, and emergency acceleration and braking, a vehicle’s stability deteriorates sharply and reduces ride comfort. There is extensive existing research on vehicle active suspension control, trajectory tracking, and control methods. However, most of these studies focus on conventional operating conditions, while vehicle stability analysis under extreme operating conditions is much less studied. In order to improve the stability of the whole vehicle under extreme operating conditions, this paper investigates the stability of a vehicle under extreme operating conditions based on linear quadratic regulator (LQR) control. First, a seven degrees of freedom (7-DOF) dynamics model of the whole vehicle is established based on the use of electromagnetic active suspension, and then an LQR controller of the electromagnetic active suspension is designed. A joint simulation platform incorporating MATLAB and CarSim was built, and the CarSim model is verified by real vehicle tests. Finally, the stability of the vehicle under four different ultimate operating conditions was analyzed. The simulation results show that the root mean square (RMS) values of body droop acceleration and pitch angle acceleration are improved by 57.48% and 28.81%, respectively, under high-speed driving conditions on Class C roads. Under the double-shift condition with a low adhesion coefficient, the RMS values of body droop acceleration, pitch acceleration, and roll angle acceleration are improved by 58.25%, 55.41%, and 31.39%, respectively. These results indicate that electromagnetic active suspension can significantly improve vehicle stability and reduce driving risk under extreme working conditions when combined with an LQR controller.

show abstract

Affine Layer-Enabled Transfer Learning for Eye Tracking with Facial Feature Detection in Human–Machine Interactions

Zhang

2022

Machines

View full text Add to dashboard Cite

Eye tracking is an important technique for realizing safe and efficient human–machine interaction. This study proposes a facial-based eye tracking system that only relies on a non-intrusive, low-cost web camera by leveraging a data-driven approach. To address the challenge of rapid deployment to a new scenario and reduce the workload of the data collection, this study proposes an efficient transfer learning approach that includes a novel affine layer to bridge the gap between the source domain and the target domain to improve the transfer learning performance. Furthermore, a calibration technique is also introduced in this study for model performance optimization. To verify the proposed approach, a series of comparative experiments are conducted on a designed experimental platform to evaluate the effects of various transfer learning strategies, the proposed affine layer module, and the calibration technique. The experiment results showed that the proposed affine layer can improve the model’s performance by 7% (without calibration) and 4% (with calibration), and the proposed approach can achieve state-of-the-art performance when compared to the others.

show abstract

Towards Active Safety Driving: Controller Design of an Active Rear Steering System for Intelligent Vehicles

Cited by 3 publications

References 41 publications

DC-Bus Capacitor Discharge Method Based on Bleeder and Windings for Electric Vehicles in Emergency

DC-Bus Capacitor Discharge Method Based on Bleeder and Windings for Electric Vehicles in Emergency

Vehicle Stability Analysis under Extreme Operating Conditions Based on LQR Control

Affine Layer-Enabled Transfer Learning for Eye Tracking with Facial Feature Detection in Human–Machine Interactions

Contact Info

Product

Resources

About