A complex rollover dynamics model with active stabilizer bar controlled by the fuzzy algorithm

Nguyen, Duc Ngoc; Dang, Ngoc Duyen

doi:10.1016/j.heliyon.2022.e11715

Cited by 14 publications

(10 citation statements)

References 40 publications

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“…In reference [32], Edlund et al introduce the use of the rollover protection systems (ROPS) anti-roll system for quad bikes. The sharing of the active steering (AS) and active anti-roll bar (AARB) to reduce the rollover phenomenon has been shown in reference [33] by Liu et al Nguyen et al also show in reference [34] how to use an active stabilizer bar to reduce the roll angle of the vehicle body. In addition, many other control algorithms that help limit the rollover phenomenon have also been introduced by many authors [35,36].…”

Section: Introductionmentioning

confidence: 99%

Investigate the Relationship between the Vehicle Roll Angle and Other Factors When Steering

Nguyen

2023

Modelling and Simulation in Engineering

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Rollover is a dangerous phenomenon. It is closely related to the vehicle roll angle. The greater the roll angle, the greater the risk of rollover. The vehicle roll angle when steering depends on many factors, such as the size of the vehicle, speed of movement, steering angle, etc. In this paper, the author has simulated the oscillation of a car when steering using MATLAB® software with three specific cases. The purpose of the study is to evaluate the dependence of the roll angle on other factors. Each case handles two scenarios: vehicle speed change (fixed height) and vehicle height change (fixed speed). The model of a complex dynamic, a combination of many nonlinear components, is used to simulate vehicle oscillations. According to the study’s results, the roll angle will increase if the speed or the distance from the center of gravity (CG) to roll axis (RA) increases, respectively. Once the roll angle’s value rises, the roll index also increases, which causes the dynamic force at the wheel to decrease. If the vertical force at the wheel approaches zero, a rollover may occur. The rollover phenomenon occurred in the second case, corresponding to speeds v = 80 (km/h) and v = 85 (km/h). The peak values of the roll angle are 7.77° and 7.63°, respectively. This result helps to identify the factors affecting the rollover phenomenon more clearly.

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Section: Introductionmentioning

confidence: 99%

Investigate the Relationship between the Vehicle Roll Angle and Other Factors When Steering

Nguyen

2023

Modelling and Simulation in Engineering

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“…In addition, the active suspension system also helps to limit the rollover phenomenon. Tis was pointed out in [11] by Guan et al, but it cannot replace the function of the stabilizer bar [12]. Te active suspension system is commonly used in high-end cars.…”

Section: Introductionmentioning

confidence: 99%

The Dynamic Model and Control Algorithm for the Active Suspension System

Nguyen

2023

Mathematical Problems in Engineering

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Road surface roughness is the leading cause of vehicle oscillation. The suspension system is used to dampen these oscillations. The active suspension system equipped with a hydraulic actuator is more efficient than the passive one. Therefore, it is used to replace the passive suspension system. The article reviews and analyses models and control algorithms for active suspension systems. In this article, the author mentioned three dynamic models commonly used to simulate vehicle oscillations: a quarter-dynamic model, a half-dynamic model, and a fully dynamic model. Each hydraulic actuator can be considered a state variable in the dynamic model. Besides, the control algorithm for the suspension system is significant. Algorithms like PID (proportional–integral–derivative) and LQR (linear quadratic regulator) will fit the linear model. In contrast, the nonlinear model’s algorithms, such as SMC (sliding mode control), fuzzy, and ANN (artificial neural network), will perform better. Overall, vehicle oscillation can be significantly improved once an active suspension system is used. The contents analysed in this article will be the database for selecting control models and algorithms by other researchers in the future.

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“…Subsequent studies have been improved by adding inputs to the fuzzy controller (two inputs). 54 Based on results obtained in Ref., 55 the roll angle and the vehicle rollover index (RI) are significantly reduced when using fuzzy algorithms with two inputs. Most recently, a fuzzy algorithm with three inputs, including the signals of roll angle, unsprung mass displacement, and vertical force, has been illustrated in Nguyen's study.…”

Section: Introductionmentioning

confidence: 99%

Proposing a novel fuzzy control algorithm for automotive active stabilizer bars based on views of roll stability and ride comfort

Nguyen

2023

Proceedings of the Institution of Mechanical Engineers, Part K:

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Using stabilizer bars in cars to limit rollover is a necessity applied to many vehicles today. In this article, the author proposes using a new fuzzy method to control the hydraulic stabilizer bars. Previous studies only focused on improving the roll stability of cars, while this article focuses on ensuring both the roll stability and ride comfort of the vehicle, which is considered the new contribution of the article. Vehicle oscillations are described through a complex nonlinear dynamic model. The MATLAB® application performs the simulation with two specific cases, including fish-hook steering and J-turn steering. According to the findings of this research, the roll angle value is significantly reduced when using active stabilizer bars directed by the novel algorithm. In addition, the risk of the rollover was also strongly reduced for both simulations (there are four-speed thresholds used in each case). For the first case, rollover does not occur when the car utilizes active stabilizer bars, even when travelling at v4 = 100 (km/h). In the other case, the rollover occurs only for the Active situation when travelling at a very high speed. In contrast, this phenomenon occurs in the None situation at v1 and the Passive situation at v2. The results found from this work help to evaluate the performance of the fuzzy control algorithm for active stabilizer bars.

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A complex rollover dynamics model with active stabilizer bar controlled by the fuzzy algorithm

Cited by 14 publications

References 40 publications

Investigate the Relationship between the Vehicle Roll Angle and Other Factors When Steering

Investigate the Relationship between the Vehicle Roll Angle and Other Factors When Steering

The Dynamic Model and Control Algorithm for the Active Suspension System

Proposing a novel fuzzy control algorithm for automotive active stabilizer bars based on views of roll stability and ride comfort

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