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Experimental evaluation of adaptive predictive control for rotor vibration suppression
Journal article   Peer reviewed

Experimental evaluation of adaptive predictive control for rotor vibration suppression

Mingsian R. Bai and Kwuen-Yieng Ou
IEEE Transactions on Control Systems Technology, Vol.10(6), pp.895-901
11/2002

Abstract

Generalized predictive control (GPC) Impulse response-based model predictive control (IMPC) Predictive control Recursive-least-square (RLS) Rotor
An on-line active control technique for suppressing rotor vibration is proposed. Linear voice coil motors mounted on a ball bearing housing are used for generating counter forces to cancel the transverse vibrations of shaft due to imbalance, misalignment, and so forth. Controllers are designed by using the impulse response-based model predictive control (IMPC) and generalized predictive control (GPC). Recursive-least-square (RLS) method is employed for real-time system identification. Multiple channel active control systems are implemented on the platform of a digital signal processor (DSP). Experimental evaluation indicated that the proposed methods were effective in suppressing the periodic disturbances due to constant as well as variable rotor speed. In particular, GPC has achieved the most satisfactory performance in terms of vibration attenuation and convergence speed.

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