直升机飞行/推进综合系统的神经网络控制器设计  

Design of Helicopter IFPC System for the Full Envelope Flight

作　　者：王志峰[1] 安锦文[1] 姜广伦[1] 

机构地区：[1]西北工业大学自动控制系,陕西西安710072

出　　处：《西北工业大学学报》2001年第1期65-68,共4页Journal of Northwestern Polytechnical University

摘　　要：提出一种 H∞ 控制理论和人工神经网络相结合的直升机飞行 /推进综合控制系统设计方法。仿真结果表明 ,所设计的控制器使直升机在整个飞行包线内都具有较强的稳定鲁棒性、性能鲁棒性和参数鲁棒性。Combined H∞ control theory with artificial neural network (ANN), a design method of controller for helicopter IFPC (integrated flight/propulsion control) system was proposed. The full envelope was divided into five flight conditions, and H∞ theory was used to design the linear controllers for each of flight conditions. The ANN was used to combine the five H∞ controllers into a nonlinear IFPC system, which is different from the method proposed by Toshiyuki et al. Simulation results for a UH-60 helicopter have shown that the designed controller can bring about that the helicopter is of stronger robustness in stability, performance and parameters.

关 键 词：直升机 H∞控制 神经网络 飞行/推进综合系统 

分 类 号：V275.1[航空宇航科学与技术—飞行器设计] V249