Study on Reinforcement Learning-Based Missile Guidance Law

Guidance Law Evaluation for Missile Guidance Systems

In missile guidance system, to reduce the interception “miss distance,” it is important to choose a suitable guidance law and navigation constant. This paper investigates and compares the system behavior of guidance laws under different navigation constants. Based on use of the adjoint technique, miss distance sensitivity analyses which consider the system noise, target step maneuver, initial h...

Modified Guidance Law Based on a Sliding Mode Controller for a Missile Guidance System

Original scientific paper In this paper, a modified guidance and control sliding mode controller (MGCSMC) method is proposed in a guided missile system. The modified sliding mode controller (MSMC) algorithm is adopted to enable the missile to reach the desired target within a short period of time. The target always makes high manoeuvres when the missile is close to it. This issue has been treat...

A Modified Midcourse Guidance Law Based on Genelarized Collision Course

A Missile Guidance Law Based on Sontag’s Formula to Intercept Maneuvering Targets

In this paper, we propose a nonlinear guidance law for missiles against maneuvering targets. First, we derive the equations of motion described in the line-of-sight reference frame and then we define the equilibrium subspace of the nonlinear system to guarantee target interception within a finite time. Using Sontag’s formula, we derive a nonlinear guidance law that always delivers the state to ...

Intelligent Adaptive Law for Missile Guidance Using Fuzzy Neural Networks

In this paper, an adaptive fuzzy neural network (FNN) controller is proposed for missile guidance. The objective is for one defending missile (DM) to intercept an attacking missile (AM) in air battle scenario. The adaptive FNN controller is adopted to force the DM toward the AM under the existence of disturbance, and a monitoring controller is also designed to reduce the error between FNN contr...