摘要
针对同时具有未知干扰以及输入饱和与死区特性的大气层内拦截弹姿态控制系统,提出了一种基于干扰补偿的自适应动态面控制器设计方法。该方法通过设计改进的非线性干扰观测器(nonlinear disturbance observer,NDO)对未知干扰进行抑制,利用径向基函数(radial basis function,RBF)神经网络逼近输入饱和引起的非线性项,通过设计参数自适应律在线估计未知死区边界。通过构造合适的Lyapunov函数,证明闭环系统状态一致终结有界。仿真结果表明,所提方法鲁棒性良好,在输入非线性和未知干扰作用下,依然能良好地跟踪指令信号。
An adaptive dynamic surface controller design method based on disturbance compensation is proposed for the near space interceptor attitude control system with unknown disturbance,input saturation and input dead zone problem.The method actively rejects the disturbance by designing the improved nonlinear disturbance observer(NDO).The radial basis function(RBF)neural network is used to approximate the nonlinear term caused by input saturation.The unknown asymmetric dead zone boundary is derived on line estimation by the designed parameter adaptive law.The closed loop system signals are uniformly ultimately bounded which is proved by constructing the proper Lyapunov function.The simulation results show that the proposed method has good robustness and tracking ability under the action of the input nonlinearity and unknown disturbance.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2017年第5期1100-1106,共7页
Systems Engineering and Electronics
基金
国家自然科学基金(61104194)
航天支撑基金(2015-HT-XGD)
中央高校基本科研业务费(3102015BJ(Ⅱ)ZS024)资助课题
关键词
拦截弹
输入非线性
动态面控制
非线性干扰观测器
自适应控制
interception missile
input nonlinearity
dynamic surface control
nonlinear disturbance observer(NDO)
adaptive control
