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      Efficiency comparison of various friction models of a hydraulic cylinder in the framework of multibody system dynamics

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      Nonlinear Dynamics
      Springer Science and Business Media LLC

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          Abstract

          Dynamic simulation of mechanical systems can be performed using a multibody system dynamics approach. The approach allows to account systems of other physical nature, such as hydraulic actuators. In such systems, the nonlinearity and numerical stiffness introduced by the friction model of the hydraulic cylinders can be an important aspect to consider in the modeling because it can lead to poor computational efficiency. This paper couples various friction models of a hydraulic cylinder with the equations of motion of a hydraulically actuated multibody system in a monolithic framework. To this end, two static friction models, the Bengisu–Akay model and Brown–McPhee model, and two dynamic friction models, the LuGre model and modified LuGre model, are considered in this work. A hydraulically actuated four-bar mechanism is exemplified as a case study. The four modeling approaches are compared based on the work cycle, friction force, energy balance, and numerical efficiency. It is concluded that the Brown–McPhee approach is numerically the most efficient approach and it is well able to describe usual friction characteristics in dynamic simulation of hydraulically actuated multibody systems.

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          A new model for control of systems with friction

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            A survey of models, analysis tools and compensation methods for the control of machines with friction

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              An integrated friction model structure with improved presliding behavior for accurate friction compensation

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                Author and article information

                Contributors
                Journal
                Nonlinear Dynamics
                Nonlinear Dyn
                Springer Science and Business Media LLC
                0924-090X
                1573-269X
                June 2021
                June 01 2021
                June 2021
                : 104
                : 4
                : 3497-3515
                Article
                10.1007/s11071-021-06526-9
                63d6e1a8-dff0-4efa-a7f3-b4cf35aa7ff7
                © 2021

                https://creativecommons.org/licenses/by/4.0

                https://creativecommons.org/licenses/by/4.0

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