Vehicle parameter identification based on vehicle frequency response function

Zhang, Qingxia; Hou, Jilin; An, Xinhao; Jankowski, Łukasz; Duan, Zhongdong; Hu, Xiaoyang

doi:10.1016/j.jsv.2022.117375

Cited by 10 publications

(4 citation statements)

References 43 publications

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“…Road roughness is one of the main factors that cause vehicle vibration [7] , and vehicle vibration will affect the comfort of drivers and passengers.…”

Section: Road Modelmentioning

confidence: 99%

Ride comfort analysis of rigid and elastic vehicles based on road-filtered characteristics

PAN,

Qian

2023

Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023)

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Ride comfort is most important for automobile company to enhance product competitiveness. In order to improve the performance of vehicle ride comfort, the filtering characteristic of road surface is considered at first. Secondly, the variation of vibration acceleration frequency and amplitude of rigid body and elastic vehicle body with or without filter characteristics is studied. The results show that in the range of 0-20Hz, the acceleration of the rigid body is greater than that of the elastic body, and the vibration acceleration of the elastic body is greater than the rigid body in the range of 20- 100Hz. Considering the actual characteristics of the body and chassis, the elastic structure is more suitable for the ride comfort analysis of the whole vehicle.

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“…Road roughness is one of the main factors that cause vehicle vibration [7] , and vehicle vibration will affect the comfort of drivers and passengers.…”

Section: Road Modelmentioning

confidence: 99%

Ride comfort analysis of rigid and elastic vehicles based on road-filtered characteristics

PAN,

Qian

2023

Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023)

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“…For example, Zhang et al deduced the accurate parameters of the vehicle load by means of FRF. 11 Zhou introduced generalized frequency response functions (GFRFs) to represent nonlinear system, and this method acquired well performance in estimating parameters of the ball screw feed system. 12 However, the methods based on frequency domain are not suitable for the gangway system, as high frequency vibrations can cause irreversible damage.…”

Section: Introductionmentioning

confidence: 99%

Time-varying structural parameter identification for the offshore gangway

Xu,

Yang,

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part C:

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The offshore gangway is a new type of offshore transfer equipment, equivalent to an offshore passage. This device makes it convenient for people to transfer between a vessel and an offshore structure. The control algorithm of the gangway system demands adjusting its control parameters to deal with harsh sea conditions and ensure personnel safety. Thence, it is essential to foreknow its time-varying structural parameters, such as the moment of inertia, the mass, the location of the mass center, and so on. However, due to the highly complex structure, these parameters are difficult to obtain through measurement directly. To adaptively identify these time-varying parameters for better controller design, this paper proposes a novel structural parameter identification approach based on the idea of interval division. During the identification process, the entire period is uniformly divided into several intervals. The time-varying model of the offshore gangway system can be represented in each interval by a quadratic regression equation, the coefficients of which can be derived by the least-squares algorithm. Furthermore, to adapt to the different variation frequencies and amplitudes of the parameters, the divided intervals are of distinct sizes according to the characteristics of each identification parameter. In addition, the particle swarm algorithm is employed to obtain the optimal interval sizes, the cost function of which consists of a series of output error terms. Verified by simulation, the method presented in this paper can effectively estimate the structural parameters of the offshore gangway with high accuracy, with mean square errors reduced by at least 2/3 compared to other methods proposed in previous research.

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“…Among the various signal-based methods are those that operate in either the time domain technique [24,25], the frequency domain technique [26,27], or the time-frequency domain technique [28,29]. Some dynamic frequency-domain approaches used as non-destructive damage detection methods include natural frequencies [30,31], modal curvatures [32,33], modal strain energies [34,35], frequency response functions (FRF) [36,37], and power spectral density (PSD) [38,39]. Of these methods, the PSD is one of the frequency-domain techniques that use the responses of a periodic or randomized stimulus in frequencies to describe the mean power repartition.…”

Section: Introductionmentioning

confidence: 99%

Life Cycle Assessment of a Coastal Concrete Bridge Aided by Non-Destructive Damage Detection Methods

Hadizadeh-Bazaz,

Navarro,

Yepes

2023

JMSE

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Recently, using economic damage identification techniques to ensure the safety of bridges has become essential. But investigating the performance of those techniques for various conditions and environments and, in addition, a life cycle assessment (LCA) through these methods depending on the situation and during the life of a structure could help specialists and engineers in this field. In these regards, analyzing the implementation of a technique for the restoration and maintenance stages of costly structures such as bridges can illustrate the effect of each damage detection method on the LCA. This research assessed non-destructive abilities and a dynamic approach to predict the amount and location of damages in the LCA. For this purpose, the power spectral density (PSD) technique’s performance by different approaches in identifying corrosion damages for a coastal bridge and the effectiveness of using this technique on reducing the environmental impact compared with a conventional method were evaluated. The results demonstrate a reduction of the environmental impacts by approximately 23% when using the PSD during the bridge’s service life. In conclusion, the PSD approach does well in anticipating the damage quantity and location on a coastal bridge, which reduces the environmental impacts during the repair and maintenance.

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Vehicle parameter identification based on vehicle frequency response function

Cited by 10 publications

References 43 publications

Ride comfort analysis of rigid and elastic vehicles based on road-filtered characteristics

Ride comfort analysis of rigid and elastic vehicles based on road-filtered characteristics

Time-varying structural parameter identification for the offshore gangway

Life Cycle Assessment of a Coastal Concrete Bridge Aided by Non-Destructive Damage Detection Methods

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