Semi-adaptive modal control of on-board electronic boards using an identification method

• Published in: Smart materials and structures Vol. 17; no. 6; pp. 065019 - 065019 (8)
• Main Authors: Chomette, B, Rémond, D, Chesné, S, Gaudiller, L
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.12.2008; Institute of Physics
• Subjects: Exact sciences and technology; Fundamental areas of phenomenology (including applications); Measurement and testing methods; Physics; Solid mechanics; Structural and continuum mechanics; Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...); Measurement; Industrial production; Mass production; Modal analysis; Control synthesis; Boundary condition; Adaptive control; Modeling; Frequency control; Model matching; Active system; Piezoelectricity; Robustness; System identification; Modal control; Initial condition; LQG control; Subspace method; Mechanical properties; Printed circuit board; Durability; Experimental study; Operating conditions; Lifetime; Vibration damping; Vibrational mode; Electromechanical properties
• ISSN: 0964-1726; 1361-665X
• DOI: 10.1088/0964-1726/17/6/065019

Modal active control, based on a state model, is an efficient method of increasing the lifetime of electronic boards by using piezoelectric components. In the case of industrial mass production, dispersions lead to changes in mechanical and electromechanical properties. Moreover, initial operating conditions such as boundary conditions can change during the lifetime of the control and modify its efficiency and stability. Therefore, a semi-adaptive modal control strategy in deferred time is proposed to attenuate these problems. Firstly modal control gains are calculated by using a classical linear quadratic Gaussian algorithm with the nominal model including mode shapes. Then control I/O data are collected by an identification system that uses on-board piezoelectric components. A subspace method is implemented to estimate modal matrices in order to update the controller. The sensitivity of control performance to modal parameter variation is presented. Estimated control frequencies and modal damping are finally used to update modal control gains. The effectiveness of the proposed method is examined through numerical simulation and experimental tests in the case of boundary condition modifications. This adaptive modal control/identification design greatly increases the nominal robustness of the controller in the case of frequency shifts.