Skyhook control strategy for vehicle suspensions based on the distribution of the operational conditions

Παπαϊωάννου, Γεώργιος; Koulocheris, Dimitrios; Velenis, Efstathios

doi:10.1177/09544070211006517

Cited by 6 publications

(3 citation statements)

References 36 publications

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“…The TLS suspension's left and right SDDs are denoted as R 2 and R 3 , respectively, while the left and right WDDs are denoted as R 4 and R 5 , respectively. Equation (13) represents the PSOF PID active controller's fitness function, which is obtained by optimizing the sum of the IATE of…”

Section: Pso Algorithmmentioning

confidence: 99%

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Particle swarm optimized fuzzy proportional-integral-derivative controller-based transverse leaf spring active suspension for vibration control

Zhang,

Long,

Lin

et al. 2023

Journal of Low Frequency Noise, Vibration and Active Control

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The transverse leaf spring (TLS) suspensions are a promising option for van vehicles due to their high load-carrying capacity and excellent handling stability. However, its ride comfort remains a major challenge. This paper investigates and compares the effects of semi-active and active control strategies to enhance the ride comfort of TLS suspensions. Firstly, a four-degree-of-freedom (4-DOF) half-car model and a multi-body dynamics (MBD) model of the TLS suspensions are established. The MBD model has higher accuracy and can describe the medium and high frequency characteristics of the TLS suspensions, such as the suspension offset frequency and the frequency response function of the body vertical acceleration (BVA). Therefore, based on the MBD half-car model with TLS suspensions, this paper proposes an optimal fuzzy PID active control strategy considering the left and right suspension coupling. The optimization objectives are the BVA, the left and right suspensions dynamic deflection, and the left and right wheels dynamic displacement. The integral absolute error is used as the evaluation criterion. The left and right fuzzy PID controllers’ parameters are obtained through particle swarm optimization. Simulation results demonstrate that the particle swarm optimization fuzzy PID active control strategy effectively controls the low-frequency vibration of the TLS suspensions and suppresses the medium- and high-frequency vibration characteristics compared with the traditional skyhook semi-active control strategy. This technology provides a reference for improving the ride comfort of the TLS suspensions.

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Section: Pso Algorithmmentioning

confidence: 99%

“…In recent years, semi-active and active control strategies for different suspension types have become increasingly mature, such as the Skyhook control, 13 the sliding mode control, 14 the neural network, 15 the fuzzy logic, 16 etc. The PID controller is widely used because of its simple operation, strong applicability, and low cost.…”

Section: Introductionmentioning

confidence: 99%

Particle swarm optimized fuzzy proportional-integral-derivative controller-based transverse leaf spring active suspension for vibration control

Zhang,

Long,

Lin

et al. 2023

Journal of Low Frequency Noise, Vibration and Active Control

View full text Add to dashboard Cite

show abstract

“…Besides the safety improving advantages as mentioned above, existing studies have already shown the energy saving potential of such vehicle platforms [22,23]. Moreover, these types of vehicle configurations enable various other benefits such as more DoF for vehicle dynamics control [24], faulttolerance [25] and motion comfort enhancement [26].…”

Section: Introductionmentioning

confidence: 99%

Integrated Control of Motion Actuators for Enhancing Path Following and Yaw Stability of Over-Actuated Autonomous Vehicles

et al. 2023

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Advanced active safety systems play a crucial role in ensuring the safe driving of vehicles in critical conditions such as an obstacle avoidance manoeuvre. However, conventional techniques relying mainly on braking interventions may not result in the desired vehicle response in such situations. Over-actuation through the control of individual motion actuators could potentially improve the safety performance of vehicles. This study evaluates various configurations of motion actuators for path following and yaw stability control of vehicles in critical driving scenarios. The configurations include active front steering (S), active front steering + torque vectoring (ST), active front steering + active camber (SC) and active front steering + torque vectoring + active camber (STC). The evaluation is achieved based on a nonlinear model predictive control formulation, which considers yaw stability and the physical limits of motion actuators. This problem formulation uses a double-track vehicle model, combined with the Dugoff tyre model and its variant with the camber effect, to model the vehicle dynamics. The actuator configurations are evaluated regarding the passing velocity, tracking accuracy, safety distance and robustness to reference trajectory variation. The results indicate that the integrated control of STC performs the best among all the four configurations while S performs the worst. Furthermore, SC is generally superior to ST.

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A novel semi-active suspension algorithm based on a high-precision frequency selector

Shi

2023

Proceedings of the Institution of Mechanical Engineers, Part D:

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This study proposes a novel semi-active suspension control algorithm based on a high-precision frequency selector. The algorithm focuses on the phenomenon of redundant switching in frequency domain judgment. Furthermore, the working principle of realizing high-precision selection is explained. The behavior of window sample number N is analyzed theoretically, and the gray prediction theory is used, together with a formerly sampled signal, to predict and obtain advanced output. This can compromise time delay in the control strategy and improve the accuracy of the selector. Using the combined sky-hook and acceleration-driven damper control algorithm and the MIX algorithm as the benchmark, the improved frequency selector is verified under sweep road environments. The results demonstrate that the improved algorithm significantly reduces the number of switches that occur while driving the vehicle, without deteriorating the comfort, thus improving the energy efficiency and service life of the damper.

show abstract

Skyhook control strategy for vehicle suspensions based on the distribution of the operational conditions

Cited by 6 publications

References 36 publications

Particle swarm optimized fuzzy proportional-integral-derivative controller-based transverse leaf spring active suspension for vibration control

Particle swarm optimized fuzzy proportional-integral-derivative controller-based transverse leaf spring active suspension for vibration control

Integrated Control of Motion Actuators for Enhancing Path Following and Yaw Stability of Over-Actuated Autonomous Vehicles

A novel semi-active suspension algorithm based on a high-precision frequency selector

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