质量矩导弹的神经网络及自适应非线性控制

摘要

Research is done for simplified dynamics equations and control system design of the mass moment control missile in this paper. The paper begins with a detailed description of the proposed control architecture and the inversion errors counteraction by taking advantage of the functional capabilities of the radial basis function neural networks (RBFNN), which is demonstrated by Lyapunov stability theory.After, the equation and approximate inversion of the missile's six-degree-of freedom nonlinear dynamics are presented,the control systems are then designed.It is shown by the simulations that the method provided in the paper has the excellent ability to reconstruct the inversion errors.%本文对质量矩控制导弹的动力学方程简化和控制系统的设计进行了研究.详细阐述了所提出的控制方法,介绍了径向基单隐层神经网络进行误差补偿的算法原理,用Lyapunov理论证明了所采用方法的稳定性.在给出了质量矩导弹的六自由度动力学方程和简化后的方程后,用所提出的方法设计控制系统.通过仿真分析,得出了本文所提出的方法具有较好的误差补偿能力的结论.