说明：  本文讨论了神经网络PID控制策略，提出了一种单神经元自适应PID控制器，给出了控制模型，探讨了单神经元自适应PID控制学习算法，通过修改神经元控制器连接加权系数 ，构成了自适应PID控制器。利用神经网络的自学习能力进行PID控制参数的在线整定，并使用了MATLAB软件进行了仿真研究。比较传统PID控制器与单神经元自适应PID控制器两者的仿真结果表明，神经网络PID控制器参数调节简单，具有很高的精度和很强的适应性，可以获得满意的控制效果。
(This paper discusses the nerve network PID control strategy and a single neural and adaptive PID controller is presented, and it s model is given here. The algorithm of PID controller is explored by revising the weighted coefficient . Make use of the study ability of the nerve network to turing the PID control parameter, and proceeds the simulation research using matlab software. From the simulation results, it is can be shown that Neural Network PID controller have the higher accuracy and stronger adaptability, and can get satisfied control result. Key Words: PID；single Neuron；self-adaptive )