Adaptive sliding mode control with fuzzy adjustment of switching term based on the Takagi-Sugeno model for horizontal vibration of the high-speed elevator cabin system

He, Qin; Jia, Tichang; Zhang, Ruijun; Liu, Lixin

doi:10.1177/09544062211053191

Cited by 9 publications

(4 citation statements)

References 17 publications

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“…(Yu et al, 2009) proposed an adaptive controller, which verified its effect on the horizontal vibration of the car through simulation. (He et al, 2022) proposed an adaptive sliding mode scheme to control the horizontal vibration of high-speed elevator car, and verified the effectiveness of the controller. In order to enhance the stability of elevator operation, (Hu et al, 2015) extended integer order PID to fractional order PID, and designed a fuzzy adaptive fractional order (PID mu) -D-lambda control.…”

Section: Introductionmentioning

confidence: 93%

Study on Fuzzy Sliding Mode Active Disturbance Rejection Control Method for Horizontal Vibration of High-Speed Elevator Car System

Ge,

Zhang,

et al. 2023

CEAI

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To effectively control the horizontal vibration of high-speed elevator car system caused by the factors such as the irregularity of the guide rail and the nonlinearity of spring-damping in guide shoes, this paper proposes an active disturbance rejection (ADR) control method based on fuzzy sliding mode. Firstly, considering the nonlinear characteristics of the spring-damping in the guide shoes, the horizontal vibration dynamic model of the elevator car system is established. Then, the guide rail excitation and the linear and nonlinear disturbances of the car are summarized into the total disturbances of the car system, which can be estimated by the designed extended state observer. On this basis, a sliding mode active disturbance rejection (SADR) control is presented, which makes the anti-vibration and anti-disturbance control of the car system highly robust. For the chattering problem caused by sliding mode control, the fuzzy control method is designed to eliminate it, and the fuzzy sliding mode active disturbance rejection (FSADR) control for the horizontal vibration of the car system is further realized. Finally, MATLAB/Simulink is utilized for simulation tests. The simulation results show that, compared with ADR and SMADR, the root mean square value, maximum value and A95 peak value of horizontal vibration acceleration through FSADR are significantly reduced. Therefore, the FSADR control method designed in this paper can effectively suppress the horizontal vibration generated during the operation of high-speed elevators.

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Section: Introductionmentioning

confidence: 93%

Study on Fuzzy Sliding Mode Active Disturbance Rejection Control Method for Horizontal Vibration of High-Speed Elevator Car System

Ge,

Zhang,

et al. 2023

CEAI

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“…Various methods have been used in elevator vibration reduction. Active control methods, such as PID control, 9 modal control, 10 and adaptive control, 11 utilize feedback or feed-forward control to offset or compensate for vibration sources or perturbations on the transmission path. Furthermore, passive control methods have been studied extensively to optimize the design of component structures, including the size and performance parameters of elastic or damping elements, in order to minimize vibration and achieve balance in the elevator car.…”

Section: Introductionmentioning

confidence: 99%

Surrogate-model-based dynamic-sensing optimization method for high-speed elevator car horizontal vibration reduction

Cheng,

Zhang,

Wang

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part C:

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The horizontal vibration of high-speed elevators has a significant impact on ride comfort and safety stability. Plenty of intelligent methods have been implemented in horizontal vibration reduction. The conventional optimization process for vibration reduction design involves conducting numerous complex dynamics simulations to establish the correlation between design parameters and vibration response. However, this method is inefficient and costly due to the demanding computational power requirements and time-consuming nature of the simulations. This study proposes a surrogate-model-based dynamic-sensing optimization method. A Kriging model is developed based on dynamics simulations, providing an efficient approach for obtaining the vibration response with specified design parameters. The DSPSO algorithm was proposed by incorporating perceptual particles and environmental adaptation mechanisms into the PSO algorithm. The DSPSO algorithm can be nested and interact with the Kriging model to optimize design parameters. During evolution, feasible and uncertain solutions are extracted into the sample space to enhance the accuracy of the Kriging model. The effectiveness of the proposed method is validated using both the ZDT series test functions and elevators from Canny Elevator Co., Ltd.

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“…In [24], an adaptive sliding-mode controller with diffuse switching gain (FGASMC) is proposed to reduce the severe horizontal vibration of the high-speed elevator car system that is caused by the excitation of the guide rail. In [25], an adaptive fuzzy-based sliding-mode predictive controller (PSMC-AF) is presented to reduce the horizontal vibration of the ultra-high-speed elevator car system.…”

Section: Introductionmentioning

confidence: 99%

Active Control System Applied to Vibration Level Control in High-Speed Elevators

Gonçalves

Balthazar

Oliveira

et al. 2022

IJRCS

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This work presents an active control system applied to vibration level reduction in high-performance vertical transport, aiming at improving the passengers’ comfort in high-speed elevators. The control system design includes the use of a Proportional Integral Derivative (PID) control. Three strategies were proposed in order to achieve a 90% reduction in the vibration amplitudes: (I) the consecutive reduction of 90% of the displacements, (II) the consecutive reduction of 90% of the velocity, and (III) the consecutive reduction of 90% of the acceleration. The presentation of these three proposals allows their application for the use of different sensors. The performance of each strategy was evaluated through mathematical modeling and numerical simulations of a vertical transport with 4 degrees of freedom, submitted to excitations arising from rail deformations. Vibration and comfort levels in the cabin were numerically analyzed, taking into account ISO 2631 and BS 6841 standards for elevator lateral acceleration level and comfort level felt by passengers. Numerical simulations showed that the force required to reduce the vibration levels is practically the same for the three proposed strategies. However, strategy (III) – the successive reduction of 90% of acceleration – proved to be more efficient at improving passengers’ comfort level when compared to the other two strategies.

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Adaptive sliding mode control with fuzzy adjustment of switching term based on the Takagi-Sugeno model for horizontal vibration of the high-speed elevator cabin system

Cited by 9 publications

References 17 publications

Study on Fuzzy Sliding Mode Active Disturbance Rejection Control Method for Horizontal Vibration of High-Speed Elevator Car System

Study on Fuzzy Sliding Mode Active Disturbance Rejection Control Method for Horizontal Vibration of High-Speed Elevator Car System

Surrogate-model-based dynamic-sensing optimization method for high-speed elevator car horizontal vibration reduction

Active Control System Applied to Vibration Level Control in High-Speed Elevators

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