论文部分内容阅读
为了克服电动舵回路故障和非线性因素的影响,提出一种基于神经网络误差反馈学习的电动舵机容错控制器设计方法,根据电动舵机系统动力学特征建立系统非线性数学模型,采用反馈误差学习控制律进行神经网络容错控制,由参考信号和实际输出信号对比产生的误差信号驱动神经网络学习从而产生控制信号,以达到实现容错重构控制的目的,仿真结果表明,神经容错网络控制器能够达到满意的控制效果。
In order to overcome the influence of the fault of the electric rudder circuit and the nonlinear factors, a fault tolerant controller design method based on the neural network error feedback learning is proposed. Based on the dynamic characteristics of the electric servo system, a nonlinear mathematical model is established and the feedback error Learning control law to carry on the fault-tolerant control of the neural network, and the error signal generated by comparing the reference signal with the actual output signal drives the neural network to learn to generate the control signal so as to achieve the purpose of fault-tolerant reconfiguration control. The simulation results show that the neural network fault-tolerant controller can Achieve satisfactory control effect.