Title :
Experimental evaluation of adaptive predictive control for rotor vibration suppression
Author :
Bai, Mingsian R. ; Ou, Kwuen-Yieng
Author_Institution :
Dept. of Mech. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fDate :
11/1/2002 12:00:00 AM
Abstract :
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.
Keywords :
adaptive control; least squares approximations; predictive control; transient response; adaptive predictive control; ball bearing housing; convergence speed; digital signal processor; generalized predictive control; impulse response-based model predictive control; linear voice coil motors; multiple channel active control systems; on-line active control technique; real-time system identification; recursive-least-square method; rotor vibration suppression; variable rotor speed; vibration attenuation; Adaptive control; Ball bearings; Coils; Counting circuits; Predictive control; Predictive models; Programmable control; Rotors; Shafts; Vibration control;
Journal_Title :
Control Systems Technology, IEEE Transactions on
DOI :
10.1109/TCST.2002.804124