Analysis of vibration characteristics and adaptive continuous perturbation control of some torsional vibration system with backlash

Vibration is a common and urgent technical issue in the steel industry. The world’s first multi-mode continuous-casting and rolling plant of Shou Gang Jing Tang Iron and Steel Co., Ltd. (Tangshan, China), has a finishing mill, F3, that experiences frequent, strong vibrations during the process of rolling thin-gauge (<1.5 mm) strip steel, which have seriously hindered the production of high-quality thin strip steel products. The changes in the strips’ surface quality are among the factors that induce rolling mill vibrations. In this study, considering the nonlinear surface quality of strip steel, a finite element model of the F3 mill was established, and the harmonic response method was used to obtain a rolling mill vertical system in the ANSYS environment. This study assesses the sensitive amplitude versus frequency characteristics curve of a torsional coupling system, the influence of strip thickness and strip hardness fluctuations on the vibration of the primary drive system, and the dynamic amplitude versus frequency characteristics of the three directions on the top of a torii. Finally, the field experiment verifies the correctness of the analytical results, which provides theoretical guidance for suppressing rolling mill vibrations and has a certain application value.

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“…According to SIMS theory [16][17][18][19] and Figure 17, the force balance equation in the horizontal direction is listed as…”

Section: Sensitive Frequency Changes Under Strip Hardness Fluctuationsmentioning

confidence: 99%

Dynamic Amplitude-Frequency Characteristics of Vertical–Torsional Coupling System with Harmonic Response in Hot Tandem Mill

et al. 2022

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“…The main nonlinear factors in the driveline system are backlash between engaging components and nonlinear stiffness of dual mass flywheel and torsional vibration damper. The former one enlarges the vibration amplitude on transient conditions which can deteriorate the control accuracy (Liu et al, 2017), while the latter one affects the peak value and fluctuation time of output torque (Zhou et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

A disturbance-compensation-based sliding mode control scheme on mode switching condition for hybrid electric vehicles considering nonlinear backlash and stiffness

Zhou

Guo

Liu

2022

Journal of Vibration and Control

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In this study, a coordinated control problem of power sources and actuators of a series-parallel hybrid electric vehicle on mode switching condition is addressed. There exist numerous nonlinear factors in the hybrid driveline system which induce system disturbance and will deteriorate the control performance on mode switching condition. However, coupled system nonlinearity is not taken into consideration for controller design on mode switching condition, which can lead to severe driveline oscillation and thus vehicle longitudinal jerk. For this reason, a disturbance observer and compensation method is introduced to resolve the control problem on mode switching condition. First, an analytic model of driveline torsional vibration considering disturbance brought by system nonlinearity is established and simplified for controller design. Based on the simplified model, a disturbance observer-sliding mode control strategy is proposed to suppress mode switching vibration. Numerical simulation is carried out to validate control performance of the DOB-SMC strategy. Simulation results demonstrate that DOB-SMC strategy has better ability to cancel the unwanted effects of disturbance brought by system nonlinearity compared with sliding mode control method, which can be regarded as an effective approach to attenuate vehicle longitudinal jerk and thus improve ride comfort on mode switching condition.

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“…Vibration often occurs in the high speed rolling process of strip steel [1]- [3]. The categories of vibration mainly include torsional vibration [4], [5] and vertical vibration [6], [7]. Especially for vertical vibration, a large amount of energy will be accumulated in a short time, which can lead to thickness fluctuations of the strip as well as the stripes on the surface of the rolled steel products, and even cause the damage of the equipment.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Fuzzy Vertical Vibration Suppression Control of the Mechanical-Hydraulic Coupling Rolling Mill System With Input Dead-Zone and Output Constraints

et al. 2020

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This paper investigates the adaptive fuzzy vertical vibration suppression control problem for the six-high rolling mill system. Firstly, a new vibration model is established with the consideration of the coupling of mechanical and hydraulic systems and the unknown uncertainty on nonlinear rolling force. Then, the adaptive active control strategy is proposed to suppress chatter of the rolling mill under the input dead-zone and output constraints. The adaptive fuzzy logic systems are used to deal with the unknown nonlinear functions and the unknown system parameters. Based on the designed controller, the mechanicalhydraulic coupling rolling system is proven to be stable and the performance of the displacement of work roll is preserved. Finally, the simulation comparison shows the validity and the advantages of the proposed algorithm.INDEX TERMS Vertical vibration suppression, rolling mill system, mechanical-hydraulic coupling, input dead-zone, output constraints.

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Analysis of vibration characteristics and adaptive continuous perturbation control of some torsional vibration system with backlash

Cited by 13 publications

References 24 publications

Dynamic Amplitude-Frequency Characteristics of Vertical–Torsional Coupling System with Harmonic Response in Hot Tandem Mill

Dynamic Amplitude-Frequency Characteristics of Vertical–Torsional Coupling System with Harmonic Response in Hot Tandem Mill

A disturbance-compensation-based sliding mode control scheme on mode switching condition for hybrid electric vehicles considering nonlinear backlash and stiffness

Adaptive Fuzzy Vertical Vibration Suppression Control of the Mechanical-Hydraulic Coupling Rolling Mill System With Input Dead-Zone and Output Constraints

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