Design and Simulation of a Neural-PD Controller for Automatic Balancing of Rotor

In this paper, the automatic balancing method is studied at constant speed or acceleration operation for rotor systems. The magnitude and phase of original imbalance is determined by the influence coefficient method through measurement of vibrations. In addition, a self-tuning neural-PD controller is designed to control the angular positions of correction masses for the automatic balancer. The equations of motion for a cylindrical rotor with radial imbalances are modeled to simulate two-plane balancing by means of axis-passed balancers. The dynamic responses before and after automatic balancing are investigated to justify the validity of the present method.

[1]  Lutz Sperling,et al.  Simulation of two-plane automatic balancing of a rigid rotor , 2002, Math. Comput. Simul..

[2]  Sigeru Omatu,et al.  Self-tuning neuro-PID control and applications , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

[3]  J. Van De Vegte,et al.  Balancing of rotating systems during operation , 1978 .

[4]  Thomas P. Goodman,et al.  A Least-Squares Method for Computing Balance Corrections , 1964 .

[5]  Sigeru Omatu,et al.  Self-tuning PID control by neural-networks , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).