The invention discloses a design method of a multi-constraint guidance law driven by a depth deterministic strategy gradient, and belongs to the technical field of
missile guidance. The method comprises the following steps: S1, establishing a three-dimensional relative
kinematics model of a
missile interception target; s2, based on the S1, designing a fractional order
sliding mode control law and analyzing the stability of the fractional order
sliding mode control law; s3, designing and optimizing an A3DPG
algorithm; and S4, inducing a strategy network to learn an action strategy through a reward mechanism in a dynamic environment, and realizing a multi-constraint guidance law with shortest time, small miss distance,
field of view FOV constraint, acceleration change suppression, sliding mode surface convergence reward, end
attack angle constraint and total reward. According to the method, the guidance law with the convergent line-of-
sight angle is designed by using the fractional order sliding mode theory, and then the sliding mode surface parameters and the reaching law parameters are dynamically learned by using the
reinforcement learning algorithm, so that the guidance law with dynamic adjustment is realized. And inducing a strategy network to learn an optimal guidance law under the evaluation of the indexes through factors such as a reward mechanism in a dynamic environment.