A Linear Motor Position Control Based on the Artificial Immune Clustering Methodology

In this paper, a novel algorithm, the artificial immune clustering methodology (AICM), is developed to control the position of the permanent magnet linear synchronous motor (PMLSM) intelligently. The advantage of the AICM, perfect learning and adaptability, as well as efficient pattern recognition, enhances the data process ability of PMLSM, which results in the improved position-precision and robustness. The experimental results are given out and the validity of this method is verified.