检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]北京航空航天大学自动化科学与电气工程学院,北京100083
出 处:《系统仿真学报》2009年第13期3997-4002,共6页Journal of System Simulation
基 金:supported by China National Natural Science Fund (60774061);China Doctoral Science Foundation (20060006010)
摘 要:针对直升机大包线飞行控制问题,以模型逆理论为基础,引入生物免疫应答机理和模糊控制方法,提出了模糊免疫自适应模型逆控制系统设计方案。该方案通过设计模糊免疫在线补偿模块,自适应补偿由近似逆模型带来的模型逆误差,实现大包线飞行控制。与神经网络自适应控制方法的对比仿真结果表明,本方案实时性好,在大飞行包线下能够很好地实现控制目标;在舵面受损、输出存在干扰时体现出较强的鲁棒性;且系统具有良好的三轴姿态解耦能力。A novel control scheme, fuzzy immune adaptive model inversion control, was put forward aiming at the large flight envelope control problem for helicopter The proposed scheme was designed based on model inversion theory, biology immune response mechanism and fuzzy control method. It could implement effective control throughout large flight envelope via the design of fuzzy immune online-compensation element. Simulation results, comparing with the neural network adaptive control method, show the scheme can achieve accurate attitude commands tracking throughout large flight envelope with better real-time performance. Strong robustness has been demonstrated in the case of control surface damage and sensor output noise. Good three-axis uncoupled performance has also been shown.
关 键 词:直升机 大包线飞行控制 模型逆 免疫应答 模糊控制
分 类 号:TP273.2[自动化与计算机技术—检测技术与自动化装置]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.94