Control and Stability Analysis of Double Time-Delay Active Suspension Based on Particle Swarm Optimization

Wu, Kaiwei; Ren, Chuanbo

doi:10.1155/2020/8873701

Cited by 10 publications

(6 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…More recently, an adaptive control algorithm using a saturated neural network has also been proposed by Wang and Li [63]. In addition, many PSO algorithms that use animal behaviour are also used for suspension systems [64][65][66]. Tese algorithms also bring high efciency to the system.…”

Section: Control Algorithmsmentioning

confidence: 99%

The Dynamic Model and Control Algorithm for the Active Suspension System

Nguyen

2023

Mathematical Problems in Engineering

View full text Add to dashboard Cite

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.

show abstract

Section: Control Algorithmsmentioning

confidence: 99%

The Dynamic Model and Control Algorithm for the Active Suspension System

Nguyen

2023

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…11 Compared with semi-active control, active control has stronger adaptability. 12 Therefore, this study investigates the feasibility and control effectiveness of semi-active and active control strategies based on the TLS suspensions based on a controllable damping force.…”

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

“…In order to further verify the damping effect of time-delay control and design the dual-frequency time-delay dynamic vibration absorber that can completely suppress the vibration of the main system under fixed dual frequency. 9,10 Chen and Cai 11,12 studied the time-delay active control of the rotating motion of the flexible beam and the harmonic excitation force. The numerical simulation and experimental verification show that the time-delay H ∞ control can effectively suppress the elastic vibration of the plate.…”

Section: Introductionmentioning

confidence: 99%

An harmonic equivalent excitation method for random vibration response

Ren

2022

Advances in Mechanical Engineering

Self Cite

View full text Add to dashboard Cite

Many loads on engineering structures had obvious randomness, such as earthquakes, wind, sea waves, uneven pavement, etc. The calculation and analysis of random vibration were complicated and inefficient, which has perplexed the development of engineering technology for a long time. To solve the above problems, this paper proposed a harmonic equivalent excitation method for structural random vibration analysis. The excitation force of multi-frequency action in continuous time interval was converted into harmonic excitation force with the same effect as superposition excitation in each discrete time interval by a harmonic equivalent method. The frequency and amplitude of harmonic excitation force in discrete-time intervals were calculated, which were then taken as the deterministic load input of the structure. The response of the structure was calculated by the conventional structural dynamic analysis method. Finally, the harmonic equivalent excitation method was used to analyze random pavement excitation and its application in the control of time-delay vibration reduction. The results show that the harmonic equivalent excitation method simplifies the calculation form of random vibration analysis without reducing the accuracy, and provides an effective method for analyzing random vibration in the engineering field.

show abstract

Control and Stability Analysis of Double Time-Delay Active Suspension Based on Particle Swarm Optimization

Cited by 10 publications

References 12 publications

The Dynamic Model and Control Algorithm for the Active Suspension System

The Dynamic Model and Control Algorithm for the Active Suspension System

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

An harmonic equivalent excitation method for random vibration response

Contact Info

Product

Resources

About