摘要
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 airplane, the testing veracity of frictional capability in airplane brake material is highly required. Therefore, We need to design a nice frictional tester system. We combine Neural Networks with regular PID controller to create a single neuron adaptive PID controller, in order to apply it to electric inertia system in frictional tester. On the basis of electric inertia system, we build a simulator to validate the feasibility of control method which to alter the setting voltage of current circle in torque current heft. Finally, we add loads and alter setting rotate speed so as to research the control effect when we add single neuron adaptive PID controller in system.
出处
《飞机设计》
2009年第3期43-47,共5页
Aircraft Design
关键词
摩擦试验机
电惯量
PID
单神经元
frictional tester
electric inertia
PID
single neuron
