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A periodic linear–quadratic controller for suppressing rotor-blade vibration
Author(s) -
Camino J. F.,
Santos I. F.
Publication year - 2019
Publication title -
journal of vibration and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.734
H-Index - 68
eISSN - 1741-2986
pISSN - 1077-5463
DOI - 10.1177/1077546319853358
Subject(s) - linear quadratic gaussian control , control theory (sociology) , linear quadratic regulator , riccati equation , controller (irrigation) , kalman filter , optimal projection equations , vibration , rotor (electric) , optimal control , observer (physics) , mathematics , vibration control , engineering , differential equation , computer science , physics , mathematical optimization , control (management) , mechanical engineering , mathematical analysis , statistics , quantum mechanics , artificial intelligence , agronomy , biology
This paper presents an active control strategy, based on a time-varying linear–quadratic optimal control problem, to attenuate the tip vibration of a two-dimensional coupled rotor-blade system whose dynamics is periodic. First, a periodic full-state feedback controller based on the linear–quadratic regulator (LQR) problem is designed. If all the states are not available for feedback, then an optimal periodic time-varying estimator, using the Kalman–Bucy filter, is computed. Both the Kalman filter gain and the LQR gain are obtained as the solution of a periodic Riccati differential equation (PRDE). Together, these gains provide the observer-based linear–quadratic–Gaussian (LQG) controller. An algorithm to solve the PRDE is also presented. Both controller designs ensure closed-loop stability and performance for the linear time-varying rotor-blade equation of motion. Numerical simulations show that the LQR and the LQG controllers are able to significantly attenuate the rotor-blade tip vibration.

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