Hammerstein–Wiener modelling of a magneto-rheological dampers considering the magnetization dynamics

Savaia, Gianluca; Panzani, Giulio; Corno, Matteo; Cecconi, Jacopo; Savaresi, Sergio M.

doi:10.1016/j.conengprac.2021.104829

Cited by 17 publications

(10 citation statements)

References 52 publications

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“…B LOCK-oriented models provide a flexible and comprehensible nonlinear mathematical model for nonlinear engineering processes due to separable characteristics [1], [2], in which block-oriented models are composed of some linear time invariant subsystems and memoryless nonlinear elements. Hence, block-oriented models have been used to model a variety of practical systems, including the pH process [3], servo motor system [4], battery systems [5], health management system [6], and other processes.…”

Section: Introductionmentioning

confidence: 99%

A New Robust Identification Algorithm for Hammerstein-Like System Using Identification Error Structure

Wang

2022

IEEE Access

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A new robust identification algorithm is introduced in this study for a Hammersteinlike system based on identification error information. With the help of the half-substitution idea, the identification model is converted into a compact model where the coupling parameters are avoided. To reduce the effect of noise signals, a filter gain is proposed to obtain helpful system data. Then, on the basis of the filtered variables and developed forcing variables, the identification error information is extracted from the helpful system data. By using the identification error data, a new parameter estimation adaptive law that differs from the classic prediction error method is derived. Therefore, a new identification scheme framework is proposed and the weakness of the prediction error method is improved. Simulations and a real-life plant are presented to test the validity and practicality of the presented identification approach.The results of parameter estimation and estimation error qualitatively demonstrated the advantages of the proposed algorithm. The computational complexity and performance evaluation indicators results quantitatively indicated that the proposed algorithm produces higher estimation performance compared with the other algorithms.

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Section: Introductionmentioning

confidence: 99%

A New Robust Identification Algorithm for Hammerstein-Like System Using Identification Error Structure

Wang

2022

IEEE Access

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“…Not surprisingly, researchers have pointed out that modeling MR dampers is a difficult task. The difficulty stems from certain MR damper nonlinearities—hard to represent—such as hysteresis [ 17 , 18 , 19 ], Stribeck effect [ 20 ], and Coulomb friction [ 21 ]. Even changes in temperature dramatically affect the hysteresis curve in MR dampers; see Figure 2 in [ 22 ] for a pictorial illustration.…”

Section: Introductionmentioning

confidence: 99%

“…On the other front, dynamical systems have been effective in modeling real-time MR dampers. Among the different models available in the literature (e.g., [ 19 , 30 , 31 , 32 ]), one model in particular has attracted a lot of attention—it is known as the Bouc–Wen model (a comprehensive investigation of the Bouc–Wen model is available in the monograph [ 33 ]). The Bouc–Wen model has no physical meaning; however, the Bouc–Wen model describes hysteresis, and hysteresis is the phenomenon that drives MR dampers.…”

Section: Introductionmentioning

confidence: 99%

Shaking Table Attached to Magnetorheological Damper: Simulation and Experiments for Structural Engineering

Vargas

Raminelli

Montezuma

et al. 2022

Sensors

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This paper details how to construct a small-scale shaking table attached to a magnetorheological (MR) damper. The motivation for this construction relies on the increasing interest in modeling the dynamics of MR dampers—MR dampers have been used in structures for safety reasons. To model the MR damper, we use the so-called `Dahl model,’ which is useful to represent systems with a hysteresis. The Dahl model, validated through experimental data collected in a laboratory, was combined with a linear model to represent a two-story building. This two-story building model allows us to simulate the dynamics of that building when its floors are attached to MR dampers. By doing so, we can assess—through simulation—to what extent MR dampers can protect structures from vibrations. Using data from the `El Centro’ earthquake (1940), we can conclude that MR dampers have the potential to reduce the impact of earthquakes upon structures. This finding emphasizes the potential benefits of MR dampers for the safety of structures, which is a conclusion taken from the apparatus detailed in this paper.

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“…e deterministic method includes recursive structure [9], iterative structure [10], multi-innovation identi cation [11], subspace identi cation [12], two-stage identi cation [13], and experimental tests [14], etc. While nondeterministic method includes the improved PSO [15], hybrid metaheuristic algorithm [16], supervised learning method [17], gravitational search algorithm [18], weighted differential evolution [19], etc.…”

Section: Introductionmentioning

confidence: 99%

Parameter Identification with a New Recursive Framework for Wiener–Hammerstein-Like System and Its Application

Liang

Zhang

et al. 2022

Mathematical Problems in Engineering

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In the process of actual system modeling, many systems exhibit nonlinear characteristics with memory. Thus, the parameter identification problem of the nonlinear system with memory usually appears in the system modeling. This report focuses on the nonlinear system identification of Wiener–Hammerstein-like model with memory hysteresis, in which a new recursive estimation way is introduced. In this algorithm, the estimation bias problem can be improved by introducing a data filtering technique. On the basis of the filtered data, some auxiliary matrices and vectors are proposed. Following this, the identification error variable is introduced by using auxiliary matrices and vectors with an adaptive forgetting factor. Afterward, the identification error variable is integrated into the design of parameter estimation adaptive law with recursive gain structure. By comparison with the classic estimation methods, the proposed algorithm shows an alternative identification algorithm design angle. In addition, it is strictly proved that the parameter estimation error converges to zero under a general excitation condition. Based on the results of indices M S E , compared with the existing methods, the performance improvements of the proposed method are 33.9 %, 41.26%, and 53.5%, respectively. In terms of indices P E M , the augmented performances of the developed scheme are 50%, 56.2%, and 68.4%, respectively, in comparison to the available schemes.

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Hammerstein–Wiener modelling of a magneto-rheological dampers considering the magnetization dynamics

Cited by 17 publications

References 52 publications

A New Robust Identification Algorithm for Hammerstein-Like System Using Identification Error Structure

A New Robust Identification Algorithm for Hammerstein-Like System Using Identification Error Structure

Shaking Table Attached to Magnetorheological Damper: Simulation and Experiments for Structural Engineering

Parameter Identification with a New Recursive Framework for Wiener–Hammerstein-Like System and Its Application

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