单神经元-PID算法在磁轴承系统的研究

常规PID控制器参数往往整定不良，性能欠佳，对磁轴承系统运行工况的适应性很差。而由具有自学习和自适应能力的单神经元构成的单神经元自适应PID控制器，不但结构简单，而且能适应环境变化，具有较强的鲁棒性。将神经网络控制思想引入磁轴承系统中，提出了适合于磁轴承单自由度控制的单神经元-PID算法，通过实验探讨了其控制效果，并与传统PID算法控制效果作了比较。

Research on Single-nerve-cell PID Arithmetic Application in Magnetic Bearing System

The routine PID controller had a bad adaptability on the operation of magnetic bearing system due to its inefficient parameter coordination.The single-nerve-cell-PID self-adaptive controller,which consisted of single-nerve-cells with self-study and self-adaptive abilities,was excellent for its simple configuration,flexible adaption in changeful environment and strong robustness.The single-nerve-cell-PID arithmetic,which was appropriate for singledegree-of-freedom control of magnetic bearing,was provided and its control effect was estimated based on results of experimentation.In the end,such control effect was reasonably compared with that of traditional PID arithmetic.