Parameter identification of the Bouc-Wen model for the magnetorheological damper using fireworks algorithm

Chen, Xiaoliang; Xu, Liyou; Zhang, Shuai; Zhao, Sixia; Liu, Kui

doi:10.1007/s12206-022-0405-2

Cited by 12 publications

(8 citation statements)

References 26 publications

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“…Also increasing the frequency, the hysteresis properties of the MR damper remain largely unaffected by changes in vibration frequency, although the maximum velocity of the damper is impacted (Chen et al 2022). Fig.…”

Section: Figure 14 -Comparison Force Vs Displacement (Increasing Freq...mentioning

confidence: 95%

Comparing optimization algorithms for Parameter Identification of Sigmoid Model for MR damper

Silva

Ávila

Morais

et al. 2023

Preprint

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This paper proposes a new hybrid optimization technique that merges a differential evolution algorithm with a local strategy using the Nelder-Mead simplex search method (fminsearch). In order to investigate the variation in parameter estimation errors arising from different optimization techniques. For a numerical model to exhibit good agreement with experimental values, it should prevent any clearances in the system and achieve an improved fit for the parameters of the Bouc-Wen modified dynamic model. The study includes an experimental design to control the excitation current, frequency, and piston displacement. In this study, the model employed is the numerically parameterized model implemented by Wang, which utilizes experimental dynamic behavior of a commercial magnetorheological damper and applies a method to fit symmetric and asymmetric sigmoid functions using experimental data. These optimization algorithms are used to identify the sixteen parameters of the modified Bouc-Wen model.

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Section: Figure 14 -Comparison Force Vs Displacement (Increasing Freq...mentioning

confidence: 95%

Comparing optimization algorithms for Parameter Identification of Sigmoid Model for MR damper

Silva

Ávila

Morais

et al. 2023

Preprint

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“…GA was recognized faster and improved by 2-3 orders of magnitude, making it more suitable for industrial use. Chen et al [54] proposed a parameter identification method based on the fireworks algorithm (FWA). According to the experimental data of the damper dynamic characteristics and the simulation data of the Bouc-Wen model, the FWA was used to identify the seven parameters of the Bouc-Wen model.…”

Section: Metaheuristicsmentioning

confidence: 99%

“…With the surge in workload, some scholars have turned to purely algorithmic improvements to improve the universality of identification technology. Hung et al [57] used constrained particle swarm optimization (CPSO) to estimate the parameters of a three-mass resonant servo control Chen et al [54] proposed a parameter identification method based on the fireworks algorithm (FWA). According to the experimental data of the damper dynamic characteristics and the simulation data of the Bouc-Wen model, the FWA was used to identify the seven parameters of the Bouc-Wen model.…”

Section: Metaheuristicsmentioning

confidence: 99%

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A Review of Key Technologies for Friction Nonlinearity in an Electro-Hydraulic Servo System

et al. 2022

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In a high-precision servo system, the nonlinear friction link is the key factor affecting the system performance. Reasonable solving of the friction link in servo systems has become a focus of current research. This paper summarizes the friction nonlinearity that affects the control performance of servo systems. First, the characteristics of friction are summarized, and the advantages and disadvantages of typical friction models in recent years are analyzed. Subsequently, existing friction model parameter identification methods are introduced and evaluated. On this basis, the development level of the friction nonlinear control strategy is analyzed from three aspects: friction model-based control, friction model-free control, and compound control. Finally, the objective advantages and disadvantages of the existing technology are summarized, and the future development direction of the friction model and selection reference for the nonlinear friction control strategy are comprehensively discussed.

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“…Thus, it is vital to build a mathematical model accurately for mechanical systems to achieve an efficient and accurate output performance. Many models have been introduced to characterize hysteretic properties, such as Preisach model (Hughes and Wen, 1997; Jiaqiang et al, 2015; Li et al, 2014a; Mayergoyz, 1991; Nguyen et al, 2018; Wolf et al, 2012; Xiao and Li, 2013), Prandt-Ishlinskii model (Al Janaideh and Krejčí, 2012; Fan and Tan, 2019; Gan et al, 2016; Li and Xu, 2011; Qin et al, 2017; Xie et al, 2020; Yi et al, 2019; Zhang et al, 2021a, 2021b), Bouc-Wen (BW) model (Chen et al, 2022; Ikhouane and Rodellar, 2007; Wang and Zhu, 2011), Maxwell model (Cao et al, 2013; Juhász et al, 2011; Liu et al, 2016a, 2016b), Duhem model (Lin and Lin, 2012; Macki et al, 1993; Ouyang and Jayawardhana, 2014; Wang and Chen, 2017), Dahl model (Xu and Li, 2010), Jiles–Atherton model (Zaman and Matin, 2015; Zirka et al, 2012), Krasnosel’skii-Pokrovskii model (Zhou et al, 2015), Polynomial-based hysteretic model (Jung et al, 2001), and neural network model (Xu and Zhou, 2018).…”

Section: Introductionmentioning

confidence: 99%

A survey of Bouc-Wen hysteretic models applied to piezo-actuated mechanical systems: Modeling, identification, and control

Cai

Dong

Nagamune

2023

Journal of Intelligent Material Systems and Structures

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Hysteretic nonlinearity behavior ubiquitously occurs in mechanical systems, particularly in high-precision instruments, which severely degrades system output performance. Consequently, it is unavoidable to establish an accurate hysteretic model to describe the hysteretic characteristic of various mechanical systems and to compensate for the system error caused by hysteresis. The piezo-actuated mechanism is one of the most frequent mechanical systems that occurs hysteretic phenomenon, explained in detail in this survey. Bouc-Wen (BW) model has been popularly applied in modeling hysteretic attributes due to the outstanding advantage of simple structure and identification process. This paper presents the latest BW model applications and investigates different BW models, identification methods, and control strategies in light of various application demands based on the BW model systematically. In addition, this survey is meaningful in choosing an appropriate modeling approach and control means for system design according to the distinct requirements, and in providing future research direction.

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Parameter identification of the Bouc-Wen model for the magnetorheological damper using fireworks algorithm

Cited by 12 publications

References 26 publications

Comparing optimization algorithms for Parameter Identification of Sigmoid Model for MR damper

Comparing optimization algorithms for Parameter Identification of Sigmoid Model for MR damper

A Review of Key Technologies for Friction Nonlinearity in an Electro-Hydraulic Servo System

A survey of Bouc-Wen hysteretic models applied to piezo-actuated mechanical systems: Modeling, identification, and control

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