摘要
飞机航向操纵的模型参数具有非线性、慢时变特性。飞机航向操纵的传统控制方法的操纵性能不能令人满意。本文讨论一种应用BP神经网络实现PID参数自整定的控制方法。此法能根据飞机动态特性的变化 ,自动重新整定PID参数 ,从而改善了飞机航向的操纵性能和鲁棒性。
Aircraft directional control system are a nonlinear high-order time-variant control system and a conventional controller provides unsatisfactory handling characteristics. In this paper, a neural network based PID parameter self-adjustment is discussed, in that the PID parameters will be re-adjusted from the aircraft dynamics to improve handling characteristics and robustness in directional control.
出处
《飞机设计》
2004年第2期47-50,共4页
Aircraft Design
