A fuzzy robust control scheme for vibration suppression of a nonlinear electromagnetic-actuated flexible system

Tavakolpour-Saleh, A.R.; Haddad, Mohammed

doi:10.1016/j.ymssp.2016.09.039

Cited by 11 publications

(5 citation statements)

References 16 publications

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“…To determine the best values for the controller gains in a power system, the Particle swarm optimization PSO method is used. Tavakolpour-Saleh and Haddad [43] To adjust the control gain using the fuzzy robust control technique, propose it for a flexible plate system with nonlinear electromagnetic actuators.…”

Section: Fig 8 Fundamental Elements Of a Fuzzy Logic Controllermentioning

confidence: 99%

A Review of Smart Structures Vibration Control Strategies

2023

IJCCCE

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The expert system and artificial intelligence are still important modern technologies. A structure can modify its behavior under dynamic stresses by using active controls. The term "intelligent" or "smart" structures refers to these self-modifying structures. The structural engineering discipline may experience a revolution thanks to smart structure technologies. Particularly for huge structures, It is anticipated to have major effects. Effects with regard to the avoidance of fatalities and damage to the structure and its contents, particularly with regard to huge buildings that have thousands of elements. An efficient control algorithm to establish the magnitude of the actual forces to be applied to the construction is one of the most critical components in the successful use of smart active control technology. An overview of the primary active control approaches for the reduction of vibration in intelligent mechanical and civil structures that are subject to external dynamic loads is provided in this study. Different control algorithms' benefits and drawbacks are examined. Finally, recent advances in the study of control algorithms are highlighted, including the use of multiparadigm strategies, decentralized control, deep learning techniques applied to neural networks design of controls for sustainability, and a merging of the domains of vibration control and structural health monitoring. Index Terms— Vibration control, Smart structures, Magneto-rheological damper, Control system, Dynamic Models, Control algorithm.

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Section: Fig 8 Fundamental Elements Of a Fuzzy Logic Controllermentioning

confidence: 99%

A Review of Smart Structures Vibration Control Strategies

2023

IJCCCE

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“…𝑦̈+ 2𝜁 " 𝜔 " 𝑦̇+ 𝜔 " " 𝑦 + 𝜇𝜔 ! " (𝑦 − 𝑑) @1 − -( &% " ,(()*) " B − 𝑔 = 0 (7) Note that the length ratio 𝛼 = 𝐿 ! 𝑑 ⁄ > 1, and thus there are two stable equilibria of the mover:𝑥 #.…”

Section: Mathematical Modelingmentioning

confidence: 99%

“…The electromagnetic actuator can transfer the input current into the actuation force through the electromagnetic induction principle, so as to achieve the fast response [1,2] . Many industrial machines use electromagnetic actuators for vibration [3][4][5][6][7] and robot control [8][9][10]. The conventional electromagnetic actuator employs a linear spring to reset the actuator mover.…”

Section: Introductionmentioning

confidence: 99%

Active vibration isolation performance of the bistable nonlinear electromagnetic actuator with the elastic boundary

Yang

Tong

Lin

et al. 2022

Journal of Sound and Vibration

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“…Obaid, Cipcigan, and Muhssin () present a fuzzy hierarchal approach to improve the frequency control performance of the U.K. power system, in which the PSO algorithm is employed to find the optimal values of the controller gains. Tavakolpour‐Saleh and Haddad () propose a fuzzy robust control algorithm for a nonlinear electromagnetic‐actuated flexible plate system to tune the control gain using the acceleration feedback.…”

Section: Intelligent Controlmentioning

confidence: 99%

Control methodologies for vibration control of smart civil and mechanical structures

Adeli

2018

Expert Systems

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Artificial intelligence and expert system remains a key technology in the 21st century. Using active controllers, a structure can adaptively adjust its behaviour during dynamic loads. Such structures with self‐modifying capabilities are referred to as intelligent or smart structures. Smart structure technology has the potential to be a game changer in the structural engineering field. It promises to have enormous consequences in terms of preventing loss of life and damage to structure and their content especially for large structures with hundreds or thousands of components. A key element in successful implementation of smart active control technology is an effective control algorithm to compute the magnitudes of actual forces to be applied to the structure. In this paper, an overview of main active control methodologies for vibration control of smart civil and mechanical structures subjected to external dynamic loads is presented. The advantages and the disadvantages of different control algorithms are discussed. Finally, new trends in control algorithm research are pointed out including multiparadigm strategies, decentralized control, application of deep neural network machine learning techniques, control design for sustainability, and unification of the two fields of structural health monitoring and vibration control.

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A fuzzy robust control scheme for vibration suppression of a nonlinear electromagnetic-actuated flexible system

Cited by 11 publications

References 16 publications

A Review of Smart Structures Vibration Control Strategies

A Review of Smart Structures Vibration Control Strategies

Active vibration isolation performance of the bistable nonlinear electromagnetic actuator with the elastic boundary

Control methodologies for vibration control of smart civil and mechanical structures

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