Vehicle attitude compensation control of magneto-rheological semi-active suspension based on state observer

Wang, Ruochen; Sheng, Fupeng; Ding, Renkai; Meng, Xiangpeng; Sun, Zeyun

doi:10.1177/09544070211020897

Cited by 11 publications

(4 citation statements)

References 30 publications

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“…The suspension system is the main vibration-damping unit of the vehicle that operates under complex operating conditions to attenuate vibrations from the outside world and improve the ride smoothness. Compared with passive and active suspensions, semi-active suspension systems are characterized by distinguished advantages, including a large adjustment range, fast response, and low energy consumption (Wang et al, 2021). The suspension stiffness can be steered by the damper under external excitations to improve the smoothness and stability of the vehicle (Tharehalli et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Semi-active fuzzy cooperative control of vehicle suspension with a magnetorheological damper

Huang

et al. 2023

Journal of Intelligent Material Systems and Structures

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This study attempts to improve the vibration isolation performance of a vehicle suspension system with a magnetorheological damper (MRD) under complex driving conditions. Structure parameter uncertainty, disturbance of the driving process, and response time delay of MRD are all addressed. Firstly, experiments of MRD were carried out in a damping force testing machine to identify the parameters of the MRD adjustable Sigmoid model by the Levenberg-Marquardt optimization algorithm. Then, the parameter identification is verified by comparing experimental and simulation data. Secondly, the state space equations of the suspension system are derived by Newton’s second law. The transfer function from the bounded disturbance input to the control output is obtained based on H∞ control theory. To make the Infinite norm of the system transfer function less than a certain value, three control strategies are proposed: variable structure control (VSC), disturbance rejection control (DRC), and delay tolerance control (DTC). Thirdly, considering these issues together to weaken the effect of disturbances on vehicle driving conditions, a fuzzy cooperative control (FCC) strategy is proposed based on the linear matrix inequality (LMI) theory. Simulation results demonstrate that FCC semi-active vehicle suspension systems conduct effective vibration isolation performance while responding to multiple external disturbances.

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Section: Introductionmentioning

confidence: 99%

Semi-active fuzzy cooperative control of vehicle suspension with a magnetorheological damper

Huang

et al. 2023

Journal of Intelligent Material Systems and Structures

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“…Thus, the damping rate of the shock absorber can be actively controlled. This approach is accepted as a semi-active suspension system in the literature [10][11][12][13]. Another widely considered approach is to add a linear actuator to the conventional suspension system.…”

Section: Introductionmentioning

confidence: 99%

Quarter Car Active Suspension System Control Using Fuzzy Controller

Arslan¹,

Aysal²,

Çelik³

et al. 2022

eng.pers

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The performance of active suspension systems is directly related to the mechanical design and control of the system. The stable operation of the controller improves driving comfort and handling. The quarter car model is frequently used in the analysis of suspension systems due to its simple structure. In this study, Matlab Simulink software was used in the modeling, control and simulation of the quarter car active suspension model. System performance was investigated for four different road profiles with PID and fuzzy logic control methods. Two of the road profiles used are in the form of impact signals consisting of pits and bumps. The other two road profiles are random road disturbances with high frequency. The effects of active and passive suspension systems on driving comfort are compared by taking into account the control methods used. As a result of the study, it has been determined that the fuzzy logic controller gives better results in pulse signals consisting of bumps and pits, and the PID controller gives better results in highfrequency random road disturbances. In addition, with the use of fuzzy logic control method in the active suspension system, a significant decrease in the actuator force has occurred. This result is very interesting in terms of minimizing energy, reducing actuator sizes and reducing costs.

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“…Gong et al [21] proposed a semi-active suspension variable damping control strategy for heavy vehicles using a 9-DOF vehicle mode with improved vehicle ride comfort and handling stability. Wang et al [22] presented a vehicle attitude compensation algorithm based on the state observer for a vehicle semi-active suspension system, improved the ride comfort of magneto-rheological suspension, and optimized the vehicle body attitude under braking and steering states. Li et al [23] developed a centralized-distributed control strategy with attitude information obtained by multi-sensor fusion.…”

Section: Introductionmentioning

confidence: 99%

“…Most of the models used in the current literature have been quarter-car or half-car suspension models, and only the vertical attitude or the pitch angle has been considered, which is not practical in industrial applications. Although the whole vehicle suspension system model has been used in the literature [14,15,18,[22][23][24], the dynamic model of the working device mounted on the vehicle has not been considered. These models are not accurate enough for the water tower fire truck.…”

Section: Introductionmentioning

confidence: 99%

Integrated Control of Spray System and Active Suspension Systems Based on Model-Assisted Active Disturbance Rejection Control Algorithm

et al. 2022

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Due to the lack of body stability of emergency rescue vehicles, their attitude stability is insufficient and they are unable to realize working while driving, resulting in low rescue efficiency. Aiming at the water tower fire truck, which is equipped with an active suspension system, the vehicle attitude stability is studied. First, combined with the active suspension system and spray system, a 13-DOF integrated dynamic model for the water tower fire truck is established. Using the model-assisted active disturbance rejection control method, the controllers are designed for the vertical displacement, pitch angle, and roll angle of the vehicle attitude. Then, the computer simulation is carried out to verify the effectiveness of this control method. Finally, the water spray obstacle crossing experiment is carried out with a JP32G water tower fire truck. The results show that when the vehicle runs over the triangular obstacle on one side and two sides in the integrated spray-active suspension mode, the peak–peak values of body pitch angle and roll angle are reduced by 10.9% and 23.2%, and 23.7% and 16.3%, respectively, compared with the passive hydro pneumatic suspension.

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Vehicle attitude compensation control of magneto-rheological semi-active suspension based on state observer

Cited by 11 publications

References 30 publications

Semi-active fuzzy cooperative control of vehicle suspension with a magnetorheological damper

Semi-active fuzzy cooperative control of vehicle suspension with a magnetorheological damper

Quarter Car Active Suspension System Control Using Fuzzy Controller

Integrated Control of Spray System and Active Suspension Systems Based on Model-Assisted Active Disturbance Rejection Control Algorithm

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