Research on Multi-Constraint Cooperative Guidance Law Based on Sliding Mode Control

In this paper, a multi-constraint navigation law based on sliding mode control is proposed. Firstly, according to the coupled relative motion equation on the three-dimensional plane, the sliding surface of pitch channel and yaw channel satisfying the end Angle constraint is designed respectively, and the coupling command is calculated. By selecting the appropriate adaptive parameters, the angle error can be quickly converged to zero. Then, using the reasoning ability of Backpropagation (BP) neural network to construct the relationship between initial conditions, terminal constraints and remaining time, the convergence effect is achieved. Finally, the Stochastic Gradient Descent (SGD) method is used to reverse solve the expected Angle, and good results are obtained.