摘要
讨论了专家系统与人工神经网络相结合的一种控制方法,并将这种方法成功地用于直升机飞行控制系统设计。根据系统特征模型的划分,精心设计专家系统的知识库、数据库、规则库和推理机。然后,用专家系统控制器训练了三层BP神经网络。同时,针对某型直升机用数字仿真证明了这种方法的优点和良好效果。
A discussion is devoted to the intelligence control method combining expert system with artificial neural networks. This method had been applied to the design of helicopter flight control system. Based on the division of characteristic models of the system, the knowledge base, the data base, the rule base and the inference mechanism of expert system are designed meticulously. In the next place, BP neural networks with three layer are trained by the expert system controller. In the meantime, it is verified by digital simulation with some kind of helicopter that the expert system controller and BP neural networks controller are operated quite well effectively.
出处
《南京航空航天大学学报》
EI
CAS
CSCD
北大核心
1997年第5期494-499,共6页
Journal of Nanjing University of Aeronautics & Astronautics
关键词
飞行控制系统
神经网络
智能控制
直升机
flight control
neural networks
intelligence control
system simulation