Design and Analysis of a Hybrid Annular Radial Magnetorheological Damper for Semi-Active In-Wheel Motor Suspension

Olivier, M.; Turabimana, Pacifique; Oh, Jong-Seok; Choi, Seung–Bok; Sohn, Jung Woo

doi:10.3390/s22103689

Cited by 8 publications

(6 citation statements)

References 30 publications

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“…The FOPID controller in the experimental control circuit needs to be designed using a discretized FOPID formulation, and in this paper, we use the Grünwald–Letnikov formulation, whose differential definition is shown in Equation (2). The control law of FOPID is shown in the following equation [ 33 , 34 , 35 ].

where

and

are fractional-order calculus operators, where λ and μ must be real numbers, t is the independent variable, and

is the lower bound of the variable, where the independent variable t is time.…”

Section: Principle Of Active Control Of Suspension Systemmentioning

confidence: 99%

See 1 more Smart Citation

Research on Electric Oil–Pneumatic Active Suspension Based on Fractional-Order PID Position Control

Hu,

Liu,

Wang

et al. 2024

Sensors

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In this study, an electric oil and gas actuator based on fractional-order PID position feedback control is proposed, through which the damping coefficient of the suspension system is adjusted to realize the active control of the suspension. An FOPID algorithm is used to control the motor’s rotational angle to realize the damping adjustment of the suspension system. In this process, the road roughness is collected by the sensors as the criterion of damping adjustment, and the particle swarm algorithm is utilized to find the optimal objective function under different road surface slopes, to obtain the optimal cornering value. According to the mathematical and physical model of the suspension system, the simulation model and the corresponding test platform of this type of suspension system are built. The simulation and experimental results show that the simulation results of the fractional-order nonlinear suspension model are closer to the actual experimental values than those of the traditional linear suspension model, and the accuracy of each performance index is improved by more than 18.5%. The designed active suspension system optimizes the body acceleration, suspension dynamic deflection, and tire dynamic load to 89.8%, 56.7%, and 73.4% of the passive suspension, respectively. It is worth noting that, compared to traditional PID control circuits, the FOPID control circuit designed for motors has an improved control performance. This study provides an effective theoretical and empirical basis for the control and optimization of fractional-order nonlinear suspension systems.

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where

and

are fractional-order calculus operators, where λ and μ must be real numbers, t is the independent variable, and

is the lower bound of the variable, where the independent variable t is time.…”

Section: Principle Of Active Control Of Suspension Systemmentioning

confidence: 99%

“…The FOPID controller in the experimental control circuit needs to be designed using a discretized FOPID formulation, and in this paper, we use the Grünwald-Letnikov formulation, whose differential definition is shown in Equation ( 2). The control law of FOPID is shown in the following equation [33][34][35].…”

Section: Numerical Implementation Of Fopid Controllermentioning

confidence: 99%

Research on Electric Oil–Pneumatic Active Suspension Based on Fractional-Order PID Position Control

Hu,

Liu,

Wang

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…This is beneficial because modern vehicles have become multipurpose with recent developments in autonomous driving technology. Because these in-wheel motor vehicles offer the advantage of improved acceleration and climbing ability compared to existing vehicles while enabling free steering, many studies have been conducted on them [19][20][21]. Compared to conventional vehicles, these in-wheel motor vehicles offer several advantages in that the unsprung mass of the vehicle increases several times when the motor is mounted on the wheel.…”

Section: Introductionmentioning

confidence: 99%

Vibration Control of Car Body and Wheel Motions for In-Wheel Motor Vehicles Using Road Type Classification

Kim,

Sohn,

Chang

et al. 2024

Preprint

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In-wheel motor vehicles are gaining attention as a new type of electric vehicle due to their efficient power units located inside each wheel hub. However, they are more susceptible to wheel resonance due to the increase in unsprung mass caused by the motor's weight. This can result in decreased both the ride comfort and driving stability. To resolve this issue, this study aims to apply an optimal switching controller with a semi-active n actuator; magnetorheological (MR) damper. For the implementation of the optimal switching controller, a road type classification is also carried out. An acceleration sensor is used for road type classification, and control logics include a ride comfort controller; the linear quadratic regulator (LQR _Paved Road) and a wheel motion controller (LQR_Off Road) for improved driving stability. For paved roads, the LQR_Paved Road control input is applied to the MR damper. However, if a road type prone to wheel resonance is detected, the control logic switches to the LQR_Off Road. During the transition, a weighted average of both LQR_ Paved Road and LQR_Off Road control input is applied to the actuator. Computer simulations are undertaken to evaluate vibration control performance, including the ride comfort and driving stability at various road profiles.

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“…Different automotive actuators were studied by various researchers. Furthermore, the successful use of this technology of magnetorheological fluid is not limited to MR engine mountings [9], MR clutches [10], MR dampers [11], and MR brakes [6,12].…”

Section: Introductionmentioning

confidence: 99%

Optimal Design and Control Performance Evaluation of a Magnetorheological Fluid Brake Featuring a T-Shape Grooved Disc

Turabimana

Sohn

2023

Actuators

Self Cite

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Magnetorheological fluid brakes are a promising technology for developing high-performance drive-by-wire braking systems due to their controllability and adaptability. This research aims to design an optimal magnetorheological fluid brake for motorcycles and their performance. The proposed model utilizes mathematical modeling and finite element analysis using commercial software. Furthermore, the optimization of this MR brake is determined through multi-objective optimization with a genetic algorithm that maximizes braking torque while simultaneously minimizing weight and the cruising temperature. The novelty lies in the geometric shape of the disc, bobbin, and MR fluid channels, which results in a light MR brake weighing 6.1 kg, an operating temperature of 89.5 °C, and a power consumption of 51 W with an output braking torque of 303.9 Nm. Additionally, the control performance is evaluated using an extended Kalman filter controller. This controller effectively regulates braking torque, speed, and slip rate of both the rear and front wheels based on road characteristics and motorcycle dynamics. This study’s findings show that the front wheel necessitates higher braking torque compared to the rear wheel. Moreover, the slip rate is higher on the rear wheel than on the front wheel, but the front wheel stops earlier than the rear wheel.

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Design and Analysis of a Hybrid Annular Radial Magnetorheological Damper for Semi-Active In-Wheel Motor Suspension

Cited by 8 publications

References 30 publications

Research on Electric Oil–Pneumatic Active Suspension Based on Fractional-Order PID Position Control

Research on Electric Oil–Pneumatic Active Suspension Based on Fractional-Order PID Position Control

Vibration Control of Car Body and Wheel Motions for In-Wheel Motor Vehicles Using Road Type Classification

Optimal Design and Control Performance Evaluation of a Magnetorheological Fluid Brake Featuring a T-Shape Grooved Disc

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