Vibration Suppression of Hub Motor-Air Suspension Vehicle

Jiang, Hong; Wu, Chuqi; Chen, Bin

doi:10.3390/en15113916

Cited by 3 publications

(2 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, extensive research has been conducted by numerous scholars in the field of novel intelligent optimization algorithms. These algorithms include Particle Swarm Optimization (PSO), [19][20][21] Artificial Bee Colony Algorithm (ABCA), 22,23 Cuckoo Search Algorithm (CSA), 24,25 Genetic Algorithm (GA), 26,27 Differential Evolution (DE) Algorithm, 28,29 Dragon-Fly Algorithm (DFA), 30,31 Grey-Wolf Optimization (GWO), 32 etc. The ABCA operates using forager bees, onlooker bees, and scout bees.…”

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

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.

show abstract

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

“…In the process of operation, vibration inevitably occurs in the welding robot system due to multi-source excitation such as the motor drive and welding gun impact vibration. The vibration level of the welding robot directly affects the welding quality [5], and the suppression of resonance has become an important research direction [6][7][8]. Therefore, controlling the suppression resonance is an important consideration in the design and development of welding robots [9,10].…”

Section: Introductionmentioning

confidence: 99%

Resonance Suppression of a Controllable Mechanism Welding Robot End with Central Composite Design Methodology

Shi

Huang

2022

Applied Sciences

View full text Add to dashboard Cite

Aiming to achieve resonance suppression of a controllable mechanism welding robot end using dynamic modeling and experimental verification, this paper applies a central composite design methodology to optimize suppression resonance using three variables: excitation source, rod stiffness and damping. Considering the coupling effects of the excitation source, member stiffness and damping, a combination optimization is carried out, and the optimal control result of the end is obtained, for which the optimized peak amplitudes are significantly reduced. The research provides an important technical basis for the dynamic design and resonance suppression control of controllable welding robot mechanisms.

show abstract

Fault Diagnosis of Electric Two-Wheeler Under Pragmatic Operating Conditions Using Wavelet Synchrosqueezing Transform and CNN

et al. 2023

View full text Add to dashboard Cite

Vibration Suppression of Hub Motor-Air Suspension Vehicle

Cited by 3 publications

References 27 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

Resonance Suppression of a Controllable Mechanism Welding Robot End with Central Composite Design Methodology

Fault Diagnosis of Electric Two-Wheeler Under Pragmatic Operating Conditions Using Wavelet Synchrosqueezing Transform and CNN

Contact Info

Product

Resources

About