Active Roll Stabilization With Disturbance Feedforward Control

Yim, Seongjin

doi:10.1109/access.2021.3054837

Cited by 8 publications

(4 citation statements)

References 35 publications

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“…Let denote these forces Fs,min(v) and Fs,max(v), respectively. The current applied to the semi-active actuator, icommand, is calculated by (12) [50]. In (12), idefault is a damping curve, which corresponds to the passive curve in Fig.…”

Section: B Semi-active-only Schemementioning

confidence: 99%

Coordinated Compensation Between Active and Semi-Active Actuators for Suspension Control System

et al. 2022

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This paper presents coordinated compensation schemes between active and semi-active actuators in suspension control system. Generally in active suspension systems, active actuators have been adopted to generate a control force calculated by a controller. However, active actuators adopted in actual vehicles have physical constraints such as maximum force, bandwidth and force-velocity limitation. On the other hand, a semi-active actuator can be a good alternative to active one in view of maximum force and bandwidth despite it cannot generate an active control force. However, the performance of semi-active actuators is limited by half of active ones. Hence, it is necessary to compensate the control force of semiactive actuators by active ones. In this paper, it is assumed that a vehicle has both of active and semi-active actuators. A control force needed to enhance ride comfort is generated by linear quadratic regulator (LQR). The controller is designed with 2-DOF quarter-car model and applied into 7-DOF full-car one. To generate the control force with active and semi-active actuators, several coordinated compensation schemes are proposed. A simulation on a simulation package show that the proposed coordinated compensation schemes are effective in reducing the control force of the active actuator over the wider range of frequencies.

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Section: B Semi-active-only Schemementioning

confidence: 99%

Coordinated Compensation Between Active and Semi-Active Actuators for Suspension Control System

et al. 2022

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“…The electric motor's speed control, which is standard on electric vehicles, also aids rollover prevention [24]. In addition, roll and lateral control systems to improve vehicle stability have also been studied and published in articles [25][26][27][28]. Some experiments related to the vehicle's rollover stability control have also been conducted in steering and lane-changing conditions.…”

Section: Introductionmentioning

confidence: 99%

Development of a Fuzzy Algorithm With Multiple Inputs for the Active Stabilizer Bar to Improve Vehicle Stability When Steering

Nguyen

2023

IEEE Access

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In this article, the author discusses the issue of vehicle roll instability when steering at high speeds. Installing an active stabilizer bar in a car is recommended to prevent it from rolling over and make it more stable when it does. A complex dynamic model is set up to evaluate and analyze vehicle oscillations. Besides, a fuzzy algorithm with three independent inputs is used to control the operation of the active stabilizer bar. This algorithm uses three separate inputs derived from the vehicle's oscillating signals.In addition, the membership function and fuzzy rule are designed to ensure that the quality and efficiency of the system are well-maintained and stable. This is an entirely new method, which is rarely used for complex models of cars. Numerical simulation is carried out in a Simulink environment with many specific cases and situations. According to research findings, the roll angle of the vehicle body increases as the speed increases. This causes a greater change in wheel dynamics force and increases the risk of rollover. If the car is equipped with an active stabilizer bar controlled by the fuzzy algorithm with three inputs, these problems are significantly reduced compared to all other situations. So, when this new algorithm is added to the active stabilizer bar, the car's stability and safety can improve even.

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“…The impact force of mechanical anti-roll bars is relatively small, so it cannot meet the roll stability requirements of the vehicle. Therefore, mechanical stabilizer bars should be replaced by active stabilizer bars controlled through modern control algorithms [40]. In [41], Dawei et al propose designing a traditional PID (Proportional Integral Derivative) control algorithm for active anti-roll bars.…”

Section: Introductionmentioning

confidence: 99%

An original fuzzy control approach for active anti-roll bars to prevent rollover

Nguyen

2023

PLoS ONE

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In this article, the author introduces a new fuzzy control solution to direct active anti-roll bars (hydraulic stabilizer bars) in order to enhance the vehicle’s roll stabilization efficiency. The original fuzzy algorithm designed in this work can satisfy all the roll stability, comfort, and response speed requirements, while previous algorithms could only meet one of these criteria. In addition, a fully dynamic model is established to simulate the vehicle’s roll oscillations instead of only using a simple half-dynamic model combined with the single-track dynamic model. The calculation and simulation processes take place in the Simulink environment. Two cases of steering are used as input to the simulation problem; the car’s speed is gradually increased through three levels. According to results of research, the roll angle and roll index of the car increase as the speed and steering angle increase. The interaction between the road and wheel decreases sharply as the roll angle increases, which can lead to a rollover. In the first case, the rollover occurs only when the car travels at v3 without the stabilizer bar and has a maximum roll angle of 9.81°. In the second case, this occurs for the (None) situation when traveling at speed v1 with a maximum roll angle of 9.52° and for the (Passive) situation when traveling at speed v2 with a peak value of 11.93°. Meanwhile, the vehicle’s stability is still well guaranteed when utilizing active anti-roll bars controlled by an original fuzzy algorithm.

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Active Roll Stabilization With Disturbance Feedforward Control

Cited by 8 publications

References 35 publications

Coordinated Compensation Between Active and Semi-Active Actuators for Suspension Control System

Coordinated Compensation Between Active and Semi-Active Actuators for Suspension Control System

Development of a Fuzzy Algorithm With Multiple Inputs for the Active Stabilizer Bar to Improve Vehicle Stability When Steering

An original fuzzy control approach for active anti-roll bars to prevent rollover

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