Ride comfort enhancement and energy efficiency using electric active stabiliser system

Mizuta, Yasuhide; Suzumura, Masato; Matsumoto, Shingo

doi:10.1080/00423110903456909

Cited by 15 publications

(14 citation statements)

References 9 publications

(11 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Considering the human body sensitivity to roll vibration (around 0.8 Hz) and roll resonant frequency (around 2 Hz), 13 the power spectral density (PSD) of roll rate in 0.3–3 Hz is used for evaluating vehicle ride comfort. The PSD of vehicle roll rate under J-turn and DLC maneuvers is shown in Figure 24.…”

Section: The Hil Testmentioning

confidence: 99%

Design and experimental validation of control algorithm for vehicle hydraulic active stabilizer bar system

Kong

Wang

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

This paper presents a novel active roll control algorithm for vehicle hydraulic active stabilizer bar system. The mechanical structure and control scheme of hydraulic active stabilizer bar system is detailed. The anti-roll torque controller is designed with “Proportional-Integral-Differential (PID) + feedforward” algorithm to calculate the total anti-roll torque. A lateral acceleration gain and roll rate damping are added into “PID + feedforward” controller, which can improve vehicle roll dynamic response. The torque distributor is introduced based on fuzzy–PID algorithm to distribute the anti-roll torque of front and rear stabilizer bar dynamically, which can improve vehicle yaw dynamics response. The actuator controller is used for realizing the closed-loop control of the actuators displacement and generating the accurate anti-roll torque. The hardware-in-the-loop simulation platform is established based on AutoBox and active stabilizer bar actuators. The hardware-in-the-loop experiment is carried out under typical maneuvers. Experimental results show that the proposed control algorithm improves the vehicle roll and yaw dynamics response, which can enhance the vehicle roll stability, yaw stability, and ride comfort.

show abstract

Section: The Hil Testmentioning

confidence: 99%

Design and experimental validation of control algorithm for vehicle hydraulic active stabilizer bar system

Kong

Wang

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

show abstract

“…To calculate and debug easily, the BLDC motor model is replaced by the direction current (DC) motor model [15] by Eqs. (5) to (8).…”

Section: Asb Actuator Modelmentioning

confidence: 99%

“…It is confirmed that the roll angle control of ASB system shows excellent frequency response characteristics. Considering the human body sensitivity to roll vibration (around 0.8 Hz) and roll resonant frequency (around 2 Hz), the PSD of roll rate in the 0.3 Hz to 3 Hz domain is used to evaluate the vehicle ride comfort [5]. From Fig.…”

Section: Roll Stabilitymentioning

confidence: 99%

Design and Evaluation of a Hierarchical Control Algorithm for an Electric Active Stabilizer Bar System

Kong

Wang

et al. 2016

SV-JME

View full text Add to dashboard Cite

This paper describes a novel hierarchical control algorithm for the electric active stabilizer bar (ASB) system, which is applied to a four-wheeled road vehicle. The proposed control algorithm is designed to improve vehicle roll and yaw dynamics. The upper-level controller calculates the target active anti-roll torque via sliding mode control, which is aimed at improving the roll stability. The middle-level controller distributes active anti-roll torque between front and rear axle via fuzzy control, which can improve the handling stability through changing lateral load transfer of front and rear axles in real time. The lower level controller is employed to control the output torque of ASB actuators via PI control and improve the output characteristic of actuators with excellent response and stability. The numerical simulation and hardware-in-the-loop (HIL) experiment are carried out to evaluate the performance of the proposed control algorithm. It is demonstrated that the ASB system based on proposed control algorithm makes a significant improvement in the vehicle roll stability, ride comfort and handling stability.

show abstract

“…Other than that, heavy vehicles are also prone to roll over, and implementation of AARB were studied by [6,7]. Passenger cars were also focused by researchers in an attempt to improve ride and handling [1,[8][9][10]. These AARB systems have their own advantages and disadvantages.…”

Section: Introductionmentioning

confidence: 99%

“…Also, the system studied by Cech [8] did not utilise any physical ARB, despite being an anti-roll control system. The AARB system studied by Mizuta et al [10] and Kim and Park [1] used more efficient electric actuators. However, the control systems used by them were complex and required detailed mathematical derivation each time when the system is to be adapted into different vehicle model.…”

Section: Introductionmentioning

confidence: 99%

Double anti-roll bar hardware-in-loop experiment for active anti-roll control system

Muniandy

Samin

Jamaluddin³

et al. 2017

J. vibroeng.

View full text Add to dashboard Cite

Active anti-roll bar (AARB) is a cheaper alternative for a fully active suspension system, which can be adapted into passenger cars, made possible by today's technology. AARB minimizes body roll and improve ride comfort. In this paper, the design of a Hardware-in-loop (HIL) test bench is presented. The HIL test bench is able to test dual AARB system, each for front and rear of a car respectively. HIL testing will allow designer to analyze and validate the performance of the proposed AARB system before it could be implemented in a real car. This paper focuses on the practicality and adaptability of implementing Fuzzy based PID controllers into the AARB system. HIL experiment compares the performance of proposed Self-Tuning Fuzzy PI-PD (STF PI-PD) controller against the PI-PD Type Fuzzy Logic Controller (PI-PD Type FLC) and Self-Tuning Fuzzy PID (STF PID) controllers. STF PID controller was proposed by previous researchers for an AARB system. Experimental results suggest that the proposed AARB system, which incorporates STF PI-PD controller is able to reduce 87.68 % of roll angle and 50.04 % in roll rate in average, thus improving the vehicle dynamics. STF PI-PD controller significantly outperforms both STF PID and PI-PD Type FLC controllers in various handling tests.

show abstract

Ride comfort enhancement and energy efficiency using electric active stabiliser system

Cited by 15 publications

References 9 publications

Design and experimental validation of control algorithm for vehicle hydraulic active stabilizer bar system

Design and experimental validation of control algorithm for vehicle hydraulic active stabilizer bar system

Design and Evaluation of a Hierarchical Control Algorithm for an Electric Active Stabilizer Bar System

Double anti-roll bar hardware-in-loop experiment for active anti-roll control system

Contact Info

Product

Resources

About