Nonlinear Model Based Guidance with Deep Learning Based Target Trajectory Prediction Against Aerial Agile Attack Patterns

04/06/2021
by   A. Sadik Satir, et al.
0

In this work, we propose a novel missile guidance algorithm that combines deep learning based trajectory prediction with nonlinear model predictive control. Although missile guidance and threat interception is a well-studied problem, existing algorithms' performance degrades significantly when the target is pulling high acceleration attack maneuvers while rapidly changing its direction. We argue that since most threats execute similar attack maneuvers, these nonlinear trajectory patterns can be processed with modern machine learning methods to build high accuracy trajectory prediction algorithms. We train a long short-term memory network (LSTM) based on a class of simulated structured agile attack patterns, then combine this predictor with quadratic programming based nonlinear model predictive control (NMPC). Our method, named nonlinear model based predictive control with target acceleration predictions (NMPC-TAP), significantly outperforms compared approaches in terms of miss distance, for the scenarios where the target/threat is executing agile maneuvers.

READ FULL TEXT
research
08/07/2023

TempFuser: Learning Tactical and Agile Flight Maneuvers in Aerial Dogfights using a Long Short-Term Temporal Fusion Transformer

Aerial dogfights necessitate understanding the tactically changing maneu...
research
08/06/2020

Online Weight-adaptive Nonlinear Model Predictive Control

Nonlinear Model Predictive Control (NMPC) is a powerful and widely used ...
research
08/31/2021

DeepTaskAPT: Insider APT detection using Task-tree based Deep Learning

APT, known as Advanced Persistent Threat, is a difficult challenge for c...
research
10/20/2021

Quadrotor Trajectory Tracking with Learned Dynamics: Joint Koopman-based Learning of System Models and Function Dictionaries

Nonlinear dynamical effects are crucial to the operation of many agile r...
research
08/01/2021

DeepTrack: Lightweight Deep Learning for Vehicle Path Prediction in Highways

Vehicle trajectory prediction is an essential task for enabling many int...
research
05/25/2020

Optimal assignment of collaborating agents in multi-body asset-guarding games

We study a multi-body asset-guarding game in missile defense where teams...
research
09/22/2021

PCVPC: Perception Constrained Visual Predictive Control For Agile Quadrotors

We present a perception constrained visual predictive control (PCVPC) al...

Please sign up or login with your details

Forgot password? Click here to reset