Transverse Vibration Response of a Super High-Speed Elevator under Air Disturbance

Yang, Zhe; Zhang, Qing; Zhang, Ruijun; Zhang, Luzhong

doi:10.1142/s0219455419501037

Cited by 32 publications

(19 citation statements)

References 18 publications

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“…Gauss white noise was used to simulate the random excitation of the guide rail surface, the mean value is μ dg = 0 , and the standard deviation is σ dg = 0 . 6 mm . 29…”

Section: Simulation Studymentioning

confidence: 99%

Research on predictive sliding mode control strategy for horizontal vibration of ultra-high-speed elevator car system based on adaptive fuzzy

Wang

Ming-qin

Zhang

et al. 2021

Measurement and Control

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In order to effectively suppress horizontal vibration of the ultra-high-speed elevator car system. Firstly, considering the nonlinearity of guide shoe, parameter uncertainties, and uncertain external disturbances of the elevator car system, a more practical active control model for horizontal vibration of the 4-DOF ultra-high-speed elevator car system is constructed and the rationality of the established model is verified by real elevator experiment. Secondly, a predictive sliding mode controller based on adaptive fuzzy (PSMC-AF) is proposed to reduce the horizontal vibration of the car system, the predictive sliding mode control law is achieved by optimizing the predictive sliding mode performance index. Simultaneously, in order to decrease the influence of uncertainty of the car system, a fuzzy logic system (FLS) is designed to approximate the compound uncertain disturbance term (CUDT) on-line. Furthermore, the continuous smooth hyperbolic tangent function (HTF) is introduced into the sliding mode switching term to compensate the fuzzy approximation error. The adaptive laws are designed to estimate the error gain and slope parameter, so as to increase the robustness of the system. Finally, numerical simulations are conducted on some representative guide rail excitations and the results are compared to the existing solution and passive system. The analysis has confirmed the effectiveness and robustness of the proposed control method.

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“…Gauss white noise was used to simulate the random excitation of the guide rail surface, the mean value is μ dg = 0 , and the standard deviation is σ dg = 0 . 6 mm . 29…”

Section: Simulation Studymentioning

confidence: 99%

Research on predictive sliding mode control strategy for horizontal vibration of ultra-high-speed elevator car system based on adaptive fuzzy

Wang

Ming-qin

Zhang

et al. 2021

Measurement and Control

Self Cite

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“…Utsunomiy et al [22] conducted a study of guide rail excitation's energy is mainly concentrated in the lowfrequency power. According to [23][24][25], the guide rail's surface roughness error approximately conforms to a normal distribution. The mean value is 0, and the standard deviation is 0.6 mm.…”

Section: Numerical Simulationmentioning

confidence: 99%

Intelligent control of horizontal vibration of high-speed elevator based on gas–liquid active guide shoes

Zhang

Cao

et al. 2021

Mechanics & Industry

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Aiming at the inconsistency between the vibration of the car and the car frame in the actual operation of a high-speed elevator and the horizontal vibration caused by the roughness excitation of the guide rail, this study designs a gas–liquid active guide shoe and establishes a horizontal vibration model of the 8-DOF high-speed elevator car system separated from the car and the car frame. Then, the correctness of the model is verified by experiments. Based on this, a fuzzy neural network intelligent vibration reduction controller based on the Mamdani model is designed and simulated by MATLAB. The results show that the root mean square value, mean value, and maximum value of vibration acceleration are reduced by more than 55% after using the fuzzy neural network control method, and the suppression effect is better than that of BP neural network control. Therefore, the intelligent vibration absorption controller designed by this research institute can effectively suppress the horizontal vibration of high-speed elevators.

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“…When the elevator structure is considered as a unified dynamic system, its physical characteristics mainly include mass, stiffness, and damping. According to the time dependence of physical properties, the structure can be divided into time-invariant and time-varying structure [ 16 ]. Under stationary state or emergency stop condition, since the length of the hoist rope exhibits a minor change, the elevator structure is considered as a time-invariant system.…”

Section: Vibration Characteristics Of Traction Systemmentioning

confidence: 99%

Analysis of Vibration Monitoring Data of Flexible Suspension Lifting Structure Based on Time-Varying Theory

Peng

Yuan

et al. 2020

Sensors

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An elevator is a typical flexible lifting machine. In order to monitor the vibration of elevator structure, the vibration characteristics of an elevator with a traction ratio of 1:1 has been tested experimentally. Sensors were arranged on the platform frame, car roof, and hoist rope to test the vibrations of the elevator in both ascending and descending conditions. The transverse, longitudinal, and coupled transverse-longitudinal vibrations were compared and analyzed. Further, the short-time Fourier transform (STFT) method was used to examine the power spectral density (PSD) of the test results, and the main frequency distribution and influencing factors of the vibration of elevator components were investigated. The results revealed that the transverse and longitudinal vibrations of the platform frame were low-frequency vibrations, which was attributed to the elastic interaction between the platform frame and the car frame. The form and amplitude of longitudinal vibration of the car frame were basically consistent with those of the platform frame, but PSD of the transverse vibration had an obvious peak in the high-frequency region. The transverse and longitudinal vibration frequencies of the hoist rope were higher. Furthermore, the peak PSD value of transverse vibration of the hoist rope was 421 times larger than that of the car frame, so a small disturbance at the end of the rope could lead to a huge disturbance in the center of the rope. Overall, this study provides useful insights on designing an elevator monitoring sensor and relevant data processing.

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Transverse Vibration Response of a Super High-Speed Elevator under Air Disturbance

Cited by 32 publications

References 18 publications

Research on predictive sliding mode control strategy for horizontal vibration of ultra-high-speed elevator car system based on adaptive fuzzy

Research on predictive sliding mode control strategy for horizontal vibration of ultra-high-speed elevator car system based on adaptive fuzzy

Intelligent control of horizontal vibration of high-speed elevator based on gas–liquid active guide shoes

Analysis of Vibration Monitoring Data of Flexible Suspension Lifting Structure Based on Time-Varying Theory

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