Hybrid optimization procedure applied to optimal location finding for piezoelectric actuators and sensors for active vibration control

DOI10.1016/j.apm.2018.06.017zbMath1460.90184OpenAlexW2808877760MaRDI QIDQ2306822

Azrar Lahcen, Belkourchia Yassin, Es-Sadek Mohamed Zeriab

Publication date: 26 March 2020

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2018.06.017

zbMATH Keywords

sequential quadratic programminggenetic algorithmparticle swarm optimizationborder correction procedurecoupled optimizationmulti-piezoelectric actuators and sensorsoptimal placement and orientation

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Nonlinear programming (90C30) Approximation methods and heuristics in mathematical programming (90C59) Electromagnetic effects in solid mechanics (74F15)

Related Items (4)

Coupled Kansa and hybrid optimization methodological approach for Kolmogorov-Feller equations ⋮ New hybrid perturbed projected gradient and simulated annealing algorithms for global optimization ⋮ Exact solutions to \({\displaystyle\max_{\Vert x\Vert=1}\sum_{i=1}^\infty\Vert T_i(x) \Vert^2}\) with applications to physics, bioengineering and statistics ⋮ Optimal linear combination of sensors and actuators to enforce an interior conic open‐loop system

Uses Software

• NLPQL

Cites Work

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• Mixed-variable engineering optimization based on evolutionary and social metaphors
• Controllability measures and actuator placement in oscillatory systems
• Sensor And Actuator Location In Motion Control Of Flexible Structures
• Multiobjective design of actively controlled structures using a hybrid optimization method

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