Abstract
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.
Highlights
With the increase of high-rise buildings, the popularization of ultra-high-speed elevators has become an inevitable trend
Based on the above analysis, aiming at the problem of the horizontal vibration of the car system and the chattering of Sliding mode control (SMC), a predictive sliding mode controller based on adaptive fuzzy (PSMC-AF) is designed in this paper, and simulation experiments are used to analyze and verify the horizontal vibration control effect of the PSMC-AF for ultra-high-speed elevator car system
In section ‘‘Design of predictive sliding mode controller based on adaptive fuzzy,’’ the PSMC-AF is designed and the stability of the controller is proved
Summary
With the increase of high-rise buildings, the popularization of ultra-high-speed elevators has become an inevitable trend. When the above scholars constructed the horizontal vibration model of elevator car system, they only considered the nonlinearity of guide shoe or the uncertainty of the car system. Based on the above analysis, aiming at the problem of the horizontal vibration of the car system and the chattering of SMC, a predictive sliding mode controller based on adaptive fuzzy (PSMC-AF) is designed in this paper, and simulation experiments are used to analyze and verify the horizontal vibration control effect of the PSMC-AF for ultra-high-speed elevator car system. Considering the nonlinearity of guide shoe, parameter uncertainties and uncertain external disturbances of the elevator car system, a more realistic horizontal vibration active control model of the 4-DOF ultra-high-speed elevator car system is constructed. By comparing and analyzing the results of simulation and real elevator experiment, it is verified that the horizontal vibration model of ultra-high speed elevator established is correct and reasonable
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