Dynamic balancing scheme for motor armatures

This paper presents a novel approach based on an adaptive parameter estimation technique for the dynamic balancing of the armature in an automobile starting motor. The proposed scheme is implemented on an experimental system comprising an unbalance measurement machine and a milling machine. Applying the influence coefficient method, two matrices, namely the unbalance calculation matrix and the milling vector calculation matrix, are constructed. The unbalance calculation matrix computes the armature unbalance based on vibration measurements, while the milling vector calculation matrix establishes the position and magnitude of the required unbalance correction. To compensate for the wear of the milling cutter following repeated machining operations, an algorithm is formulated to generate on-line estimates of the parameter settings required in the milling vector calculation matrix. A series of balancing experiments are performed to evaluate the feasibility and performance of the proposed scheme. The results show that the balancing system achieves a better balancing performance than a system based on the conventional influence coefficient method.