Payload-agnostic decoupling and hybrid vibration isolation control for a maglev platform with redundant actuation

Gong, Zhaopei; Li, Shaozhen; Yue, Honghao; Gao, Haibo; Deng, Zongquan

doi:10.1016/j.ymssp.2020.106985

Cited by 16 publications

(5 citation statements)

References 25 publications

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“…Self-decoupling and robust vibration control are necessary to realize the vibration control of maglev isolation platforms. Gong et al [205] proposed a new control strategy, which was composed of a selfconstructed radial basis function neural network inversion decoupling scheme (SRBFNNI) and a hybrid adaptive feed-forward internal model control (HAFIMC). The SRBFNNI enabled the maglev vibration isolation platform to establish the self-inverse model with less prior knowledge and realize self-decoupling.…”

Section: Micro-vibration Isolation Based On Maglev Technologymentioning

confidence: 99%

Micro-Vibration Analysis, Suppression, and Isolation of Spacecraft Flywheel Rotor Systems: A Review

Han,

Gao,

Chu

2024

Vibration

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In this paper, the main excitation sources of micro vibration of spacecraft flywheel rotor systems (SFRSs) are briefly described, and then the research progress is systematically reviewed from four perspectives, including modeling methods, suppression means, vibration isolation techniques, and ground simulation tests. Finally, the existing problems of current research and the direction of further research are given to better serve the micro-vibration prediction and sensitivity analysis of existing models, and provide reference points for the micro-vibration suppression and isolation of the next generation of high-precision spacecraft.

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Section: Micro-vibration Isolation Based On Maglev Technologymentioning

confidence: 99%

Micro-Vibration Analysis, Suppression, and Isolation of Spacecraft Flywheel Rotor Systems: A Review

Han,

Gao,

Chu

2024

Vibration

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“…(Li and Li, 2013) He et al (2015) proposed an engineering-oriented decoupling control method of a module suspension system to address the coupling problem of two suspension units in the maglev train module, and this method improved the reliability of the suspension control system. Gong et al (2021) established a vibration isolation platform with magnetic suspension, and the self-decoupling operation of the platform was realized by the radial basis function neural network inversion decoupling scheme. Cheng et al (2020) reported a control decoupling method for a five-degree-of-freedom active magnetic bearing system based on the inverse system state feedback decoupling theory for the multivariable, nonlinear and strong coupling control problems of the magnetic bearing rotor system.…”

Section: Introductionmentioning

confidence: 99%

Dynamic model of high-speed maglev train-guideway bridge system with a nonlinear suspension controller

Bu,

Wang,

Han

et al. 2024

Advances in Structural Engineering

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To improve the anti-interference ability of maglev trains, a dynamic model of the high-speed maglev train with a nonlinear suspension controller for the guideway system is proposed in this paper. Based on the nonlinear characteristics of the magnetic suspension system, a nonlinear decoupling controller is designed using the feedback linearization theory. Then, a high-speed maglev train model is refined with a guideway coupling system, consisting of a maglev train simulated as a multi-body dynamics model with 537 degrees of freedom and a spatial finite element model of the guideway. Taking the Shanghai high-speed maglev train as an example, the correctness of the computational model is verified by comparing the modeling results with field measurement data, and the control effectiveness of the nonlinear controllers and the traditional PD controllers is compared considering different train speeds and disturbance forces. The results show that the suspension gap under the decoupling control is smaller than that under the PD control during the train operations. Under the same disturbance force, the decoupling control exhibits better control performance than the PD control. The variation amplitudes of the magnetic pole gaps are generally linearly related to the disturbance force.

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“…The controller achieved an 80.5% higher accuracy compared to traditional SMC when dealing with input time delays. Similarly, in literature, numerous advanced control techniques have been proposed, such as H∞ controller [11], adaptive terminal sliding mode control [12], adaptive finitetime fuzzy control [13] and hybrid adaptive feedforward internal model control [14] etc. All these controllers have 2 complex structures which add to the computational cost.…”

Section: Introductionmentioning

confidence: 99%

GA Optimized PI-PDN Robust Control of a 1-DOF Maglev Precision Position System

Malik,

Ahmad,

Wadood

2023

IEEE Access

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This paper investigates 2 difficult problems encountered in magnetic levitation systems: robust control design and disturbance rejection. A PI-PDN robust control strategy is developed to control the position of a 1-degree-of-freedom (DOF) magnetic levitated rigid beam system or MLS for precision positioning applications under parametric variations, uncertainties, and external disturbances. The proposed PI-PDN gains are optimized by employing a Genetic Algorithm (GA), Marine Predator Algorithm (MPA), and Particle Swarm Optimization (PSO). GA-tuned gains lead to manifold improvement in key time and frequency domain performance specifications of rise time, settling time, overshoot, tracking error, bandwidth, classical gain and phase margins. Additionally, the metrics of disk margins (DM) are employed for assessing the robustness of a closed-loop system subjected to simultaneous variation in gain and phase. To demonstrate the performance and effectiveness of the proposed GA-PI-PDN topology, numerical simulation results are compared with corresponding results of the benchmark PIDN with that of PI-PDN and GA-PI-PDN. The developed control algorithms were deployed on a dedicated embedded system utilizing Simulink automatic C++ code generation capabilities. The development of different control strategies was aided by building high fidelity mathematical model of electromagnets and experimental determination of important model parameters.

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Payload-agnostic decoupling and hybrid vibration isolation control for a maglev platform with redundant actuation

Cited by 16 publications

References 25 publications

Micro-Vibration Analysis, Suppression, and Isolation of Spacecraft Flywheel Rotor Systems: A Review

Micro-Vibration Analysis, Suppression, and Isolation of Spacecraft Flywheel Rotor Systems: A Review

Dynamic model of high-speed maglev train-guideway bridge system with a nonlinear suspension controller

GA Optimized PI-PDN Robust Control of a 1-DOF Maglev Precision Position System

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