为了提高PID控制对时滞系统的自适应性能,提出了一种基于改进的单神经元PID控制的新方法。针对同步发电机励磁系统,当考虑采样滤波延迟时,该方法利用具有自适应能力的单神经元PID控制算法,进而通过增益和权值联合调整,提高了系统的动态响应性能。仿真结果表明,采用改进的单神经元PID控制方法不但学习速度快而且动态特性好,鲁棒性强。基于此方法的同步发电机励磁系统具有良好的快速跟踪性能和抗干扰性能。 In order to improve the adaptive performance of PID control to time-delay system, a new method based on improved single-neuron PID control is proposed. Aiming at the excitation system of synchronous generator, when considering the sampling filter delay, the proposed method uses the single neuron PID control algorithm with adaptive capability and then improves the dynamic response of the system through the joint adjustment of gain and weight. Simulation results show that the improved single neuron PID control method not only has fast learning speed but also good dynamic characteristics and strong robustness. Synchronous generator excitation system based on this method has good fast tracking performance and anti-jamming performance.