Multiple-input multiple-output active vibration control of a composite sandwich beam by fractional order positive position feedback

被引:22
作者
Hameury, Celia [1 ]
Ferrari, Giovanni [1 ]
Buabdulla, Abdulaziz [2 ]
Silva, Tarcisio M. P. [2 ]
Balasubramanian, Prabakaran [2 ]
Franchini, Giulio [2 ]
Amabili, Marco [1 ,2 ,3 ]
机构
[1] McGill Univ, Montreal, PQ, Canada
[2] Technol Innovat Inst, Adv Mat Res Ctr, Abu Dhabi, U Arab Emirates
[3] McGill Univ, Dept Mech Engn, 817 Sherbrooke St West, Montreal, PQ H3A 0C3, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Fractional-order controller; Active vibration control; PPF; MIMO; Cantilever beam; LARGE-AMPLITUDE VIBRATIONS; PIEZOELECTRIC SENSORS; CYLINDRICAL-SHELL; RECTANGULAR PLATE; CURVED PANELS; CONTACT; WATER;
D O I
10.1016/j.ymssp.2023.110633
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Positive Position Feedback (PPF) is an active vibration control algorithm widely employed for the vibration mitigation of thin-walled structures equipped with active flexural patches. Fractional order PPF (FOPPF) is a recent development of PPF that has been shown to achieve substantially better spillover characteristics, thanks to the inclusion of fractional calculus. However, so far, FOPPF literature has focused almost exclusively on single-input-single-output (SISO) applica-tions, with little consideration of multiple-input-multiple-output (MIMO) capabilities and no experimental work on the subject. To fill this gap, a MIMO FOPPF control architecture was tested numerically and experimentally on a cantilever composite sandwich beam of rectangular section. The feedback algorithm involved two piezoelectric actuators and two piezoelectric sensors in a collocated configuration for the control of the lowest four resonances of the beam, excited by a random external excitation. The participation matrices, necessary for the simulation of the response of the electromechanical system, were obtained with a recently developed experimental method. The fractional orders of derivation, together with other controller parameters such as gain, resonant frequency and damping ratio, were chosen according to an optimization algorithm aimed at the vibration amplitude reduction of the first four resonances of the controlled system. As a result, the performance of the vibration control resulted superior to the equivalent PPF with integer exponents, both in simulations and experiments.
引用
收藏
页数:18
相关论文
共 40 条
[31]   Fractional-order systems and PI-λ-D-μ-controllers [J].
Podlubny, I .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1999, 44 (01) :208-214
[32]  
Poh S., 1990, Journal of Intelligent Material Systems and Structures, V1, P273, DOI 10.1177/1045389X9000100302
[33]  
Preumont A., 2018, VIBRATION CONTROL AC
[34]   Control of a flexible manipulator with noncollocated feedback: Time-domain passivity approach [J].
Ryu, JH ;
Kwon, DS ;
Hannaford, B .
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 2004, 20 (04) :776-780
[35]   Particle swarm optimization of a non-collocated MIMO PPF active vibration control of a composite sandwich plate [J].
Silva, Tarcisio M. P. ;
Hameury, Celia ;
Ferrari, Giovanni ;
Balasubramanian, Prabakaran ;
Franchini, Giulio ;
Amabili, Marco .
JOURNAL OF SOUND AND VIBRATION, 2023, 555
[36]  
SmartMaterial, MFC ENG PROP
[37]  
Tejado I., 2012, IFAC P, V45, P655
[38]  
The MathWorks Inc, FMINC DOC
[39]  
Zhao G, 2018, PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2018) / INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2018), P143
[40]   Active vibration control of a composite sandwich plate [J].
Zippo, Antonio ;
Ferrari, Giovanni ;
Amabili, Marco ;
Barbieri, Marco ;
Pellicano, Francesco .
COMPOSITE STRUCTURES, 2015, 128 :100-114