摘要
针对倾斜转弯(BTT)导弹控制中的多变量强耦合问题,研究了一种适用于BTT导弹的反演算法,以实现自动驾驶仪的自适应解耦控制。根据BTT导弹控制的基本特性,建立导弹的非线性控制模型,并将其转化为适合于反演设计的反馈块模型。在此模型上,基于反演的非线性控制系统综合设计方法,加入自适应神经网络逼近系统中存在的不确定性,利用Lyapunov稳定性定理推导了自适应调节律,设计了导弹控制律。通过仿真验证了该设计方法的有效性和可行性,该控制器能够实现控制解耦目的,且对指令信号跟踪效果良好。
In order to solve the problems of multiple variables and strong coupling in BTr （bank-to-turn） missile control, a backstepping algorithm suitable for the BTT missile autopilot controller was proposed. Based on the peculiarity of BTT missile, the nonlinear model of missile was built up. Then, the missile model was translated into a feedback block model to realize the baekstepping design. A special nonlinear synthetical backstepping method was applied in design of the control law for BTT missile, which added neural networks to solve the uncertainties problems, and the adaptive tuning rules were derived using the Lyapunov stability theorem. This method can implement the decoupling design of controller and track the command signals well. Simulation was made to demonstrate the effectiveness of the proposed method.
出处
《电光与控制》
北大核心
2012年第1期38-41,共4页
Electronics Optics & Control
关键词
BTT导弹
控制律
反演算法
自适应
神经网络
BTT missile
control law
backstepping algorithm
adaptiveness
neural networks
