为了保障飞机刹车性能，对于飞机刹车材料摩擦性能的测试准确度要求很高。因此，需要设计出一个良好摩擦试验机系统。本文将神经网络与常规PID调节器控制相结合，产生一种单神经元自适应PID控制器，并应用于摩擦试验机电惯量系统。根据电惯量系统建立仿真模型，验证改变转矩电流分量的电流环给定电压来实现电惯量的可行性，通过突加负载和改变转速给定来研究加入单神经元自适应控制器后系统的控制效果。

To ensure the braking capability of airplanes, the testing validity of the frictional capability of airplanes’ brake material is highly required. Therefore, we need to design a sound frictional tester system. We combine neural networks with a regular PID controller to create a single neuron adaptive PID controller, which is then applied to an electric inertia system in the frictional tester. Based on the electric inertia system, we build a simulator to validate the feasibility of the control method which alters the setting voltage of the current circle in the torque current heft. Finally, we add loads and alter the setting of the rotation speed so as to study the control effect of adding a single neuron adaptive PID controller in the system.