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.