2021
DOI: 10.1109/access.2021.3072648
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Variable Universe Fuzzy Control of High-Speed Elevator Horizontal Vibration Based on Firefly Algorithm and Backpropagation Fuzzy Neural Network

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Cited by 28 publications
(9 citation statements)
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“…This section verifies the effectiveness of the proposed control method through simulation. The parameters and values of the elevator car system are listed in Table 2 5 :…”
Section: Simulationmentioning
confidence: 99%
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“…This section verifies the effectiveness of the proposed control method through simulation. The parameters and values of the elevator car system are listed in Table 2 5 :…”
Section: Simulationmentioning
confidence: 99%
“…Chen et al 4 had established a six-degree-of-freedom high-speed elevator car model with diagonal structure and proposed a model-based hybrid H 2 /H ∞ optimal control strategy, introducing free matrix into the control strategy to improve the robust stability of the elevator car system. Zhang et al 5 proposed a semi-active guide shoe variable domain fuzzy control method for magnetorheological dampers based on firefly algorithm and backpropagation (FA-BP) algorithm fuzzy neural network (FNN). Firstly, using the raw data of MR dampers collected from experiments, a nonparametric model of MR dampers based on FNN system was established, and then a variable domain fuzzy main controller was proposed to control the input current of MR dampers.…”
Section: Introductionmentioning
confidence: 99%
“…Raúl et al [23] have proposed magnetorheological damping of semiactive guide shoes and designed the corresponding control strategy. Zhang et al [24] have constructed an elevator system dynamics model and proposed a semiactive control method to reduce the horizontal vibration of the elevator car by employing magnetorheological damping guide shoes. Hu et al [25] have established a quarter vehicle model and proposed a new HFFPID controller to realize the semiactive vibration control.…”
Section: Introductionmentioning
confidence: 99%
“…To solve the problem of horizontal vibration control of the elevator car system, related experts and scholars have conducted relevant research (Wang et al, 2022;Zhang et al, 2019;Abdalla et al, 2018;Zhang et al, 2021). (Rajamani et al, 1999) proposed a PID controller for the multi-input and multi-output model of the elevator car system.…”
Section: Introductionmentioning
confidence: 99%