Online learning fuzzy vibration control of smart truss structure

Xu, Rui; Li, Dongxu; Jiang, Jianping

doi:10.1177/0954410016640823

Cited by 13 publications

(9 citation statements)

References 20 publications

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“…The actuator is a significant component of structural active vibration control. At present, many types of actuators are used to suppress the active vibrations of large flexible structures, including piezoelectric patches, 3,4 piezoelectric stacks, [5][6][7][8][9][10] voice coils, [11][12][13] air thrusters 14 and cables. 15,16 Piezoelectric stack actuators have advantages of wideband action, simplicity, reliability, compactness, portability, low power consumption and easy application.…”

Section: Introductionmentioning

confidence: 99%

“…Fuzzy-logic control algorithms have been used by many researchers to control the vibrations of large flexible structures, because they do not require an accurate mathematical model beforehand, and they are suitable for dealing with nonlinear and uncertain problems. 17,18 Xu et al 5 for example, utilized a self-learning strategy to update the fuzzy rule base to improve control accuracy. In the approach proposed by Li et al, 1 each mode was designed as an independent fuzzy controller to realize vibration control.…”

Section: Introductionmentioning

confidence: 99%

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Integral terminal sliding-mode robust vibration control of large space intelligent truss structures using a disturbance observer

Tian

Guo

2021

Proceedings of the Institution of Mechanical Engineers, Part G:

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This study aims to develop an advanced integral terminal sliding-mode robust control method using a disturbance observer (DO) to suppress the forced vibration of a large space intelligent truss structure (LSITS). First, the dynamics of the electromechanical coupling of the piezoelectric stack actuator and the LSITS, based on finite element and Lagrangian methods, are established. Subsequently, to constrict the vibration of the structure, a novel integral terminal sliding-mode control (ITSMC) law for the DO is used to estimate the parameter perturbation of the LSITS based on a continuous external disturbance. Simulation results show that, under a forced vibration and compared with the ITSMC system without a DO, the displacement amplitude of the ITSMC system with the DO is effectively reduced. In the case where the model parameters of the LSITS deviate by ±50%, and an unknown continuous external disturbance exists, the control system with the DO can adequately attenuate the structural vibration and realize robust control. Concurrently, the voltage of the employed piezoelectric stack actuator is reduced, and voltage jitter is alleviated.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Integral terminal sliding-mode robust vibration control of large space intelligent truss structures using a disturbance observer

Tian

Guo

2021

Proceedings of the Institution of Mechanical Engineers, Part G:

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“…In recent years, fuzzy theory has been increasingly applied to the active vibration control of structures. [12][13][14][15] It is generally difficult to obtain an accurate dynamic model for a large annular antenna since it is a complex structure containing a large number of space members and joints. Therefore, the fuzzy control is firstly considered in the active control design because of its good robustness against the modeling errors.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy PD hybrid control of low frequency vibration of annular antenna

Zhai

Luo

Zhang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part G:

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The annular antenna is a typical large flexible space truss structure featured by small damping and low modal frequencies. The external disturbances, e.g. impulse load resulting from satellite attitude adjusting, may induce the low frequency large amplitude vibrations of annular antenna for a long time and thus reduce working precision and cause even its damage. The active control of vibration of annular antenna under impulse excitation is investigated in the paper. The voice coil actuator instead of piezoelectric stack actuator is used in order to meet the demand of large output displacement. The governing equation of active vibration control system is established by use of finite element method. The proportional differential (PD) control and fuzzy control algorithms are firstly studied in the active control. The results show that the fuzzy control exhibits worse control performance than PD control due to weak control function near structural equilibrium position. To circumvent the drawback of fuzzy control, a fuzzy PD hybrid control strategy is proposed which can combine the merits of both control methods. The simulated and experimental results show that the fuzzy PD hybrid control can yield the best control effect under impulse excitation comparing with the PD control and ordinary fuzzy control. The work provides a promising control way for active control of low frequency and large displacement vibration of annular antenna in satellite engineering.

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“…The truss structure is provided with two active elements that can be placed in various locations. In the work of Lin and Zheng (2012) a neuro-fuzzy system is applied for an optimal design of structures and online fuzzy control is described by Xu et al (2016).…”

Section: Introductionmentioning

confidence: 99%

Dynamic Morphing of Smart Trusses and Mechanisms Using Fuzzy and Neuro-Fuzzy Techniques

Tairidis

Muradova

Stavroulakis

2019

Front. Built Environ.

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In the present investigation, the principles of dynamic morphing of smart truss structures and mechanisms are discussed. A possible way in order to find the optimal geometry of the structure for the enhancement of structural performance in terms of vibration control is sought. The vibrations of the host dynamic structures are monitored by controllers which are based on the principles of Mamdani-type fuzzy inference and Sugeno-type adaptive neuro-fuzzy inference. More specifically, the objective of the present study is a design, tuning, and an application of robust intelligent control mechanisms by means of the suppression of structural vibrations for several types of excitation forces. The proposed models are discretized by using a finite element method. For the time integration of the equations of motion, the Newmark-β method is used. The calculations and the analysis are conducted within the Matlab environment by using the Adaptive Neuro-Fuzzy Inference System (ANFIS) tool, which is included in the fuzzy toolbox. The controllers are tested with different excitation forces applied on a truss-shaped structure. The control outputs are applied on each time of the simulation in order to achieve the lowest possible deformation and to prevent potential damage or corruption of the structure. The same principles are used for the dynamic morphing of structures and mechanisms. The proposed formulation can be applied, among many others, on smart irrigation systems such as spray booms, on radio-telescope bases, on the spars of smart wings, on aircraft wings etc.

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Online learning fuzzy vibration control of smart truss structure

Cited by 13 publications

References 20 publications

Integral terminal sliding-mode robust vibration control of large space intelligent truss structures using a disturbance observer

Integral terminal sliding-mode robust vibration control of large space intelligent truss structures using a disturbance observer

Fuzzy PD hybrid control of low frequency vibration of annular antenna

Dynamic Morphing of Smart Trusses and Mechanisms Using Fuzzy and Neuro-Fuzzy Techniques

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