摘要
针对导弹非线性不确定系统,提出了基于动态逆方法及模糊自适应理论的导弹自动驾驶仪设计方法.基于导弹的非线性模型设计了快、较慢回路的动态逆控制器以实现其非线性解耦,将系统不确定性和外界干扰引入到较慢回路中.根据系统跟踪误差在线调整模糊系统权值,使其一致逼近导弹较慢回路的非线性函数.设计了在模糊系统的最小逼近误差上界未知情况下的较慢回路的自适应模糊控制律,以抵消整个控制系统的总不确定性及干扰对系统性能的影响.仿真分析结果验证了所设计控制方法的有效性.
Aiming at uncertain nonlinear system of missile,a design approach based on dynamic inverse and adaptive fuzzy system theory was presented.Based on nonlinear model of missile,dynamic inversion controllers were designed in both fast loop and relatively slow loop in order to realize the nonlinear decoupling,and the uncertainties and disturbances of system were introduced to relatively slow loop.According to the tracking error,the adaptive fuzzy system was constructed to approximate the uncertain nonlinear systems,and the weight parameters of fuzzy system changed on-line.The adaptive fuzzy control laws under the conditions that upper bound of the least approximation errors was unknown,were designed in relatively slow loop so as to compensate the effects of the uncertainties and disturbances on the control system performance.The simulation result proves the effectiveness of the control method.
出处
《弹道学报》
EI
CSCD
北大核心
2011年第1期84-87,共4页
Journal of Ballistics
基金
航空科学基金项目(20090196005
20100196002)
关键词
导弹
动态逆控制
自适应模糊系统
跟踪误差
最小逼近误差
missile
dynamic inverse control
adaptive fuzzy system
tracking error
least approximation error
