Open AccessMathematical Modeling on the Control of Hunting Problems
Author(s) -
R. Heru Tjahjana,
Dhimas Mahardika
Publication year - 2021
Publication title -
comtech/comtech
Language(s) - English
Resource type - Journals
eISSN - 2476-907X
pISSN - 2087-1244
DOI - 10.21512/comtech.v12i1.6424
Subject(s) - computer science , trajectory , ordinary differential equation , convergence (economics) , optimal control , mathematical optimization , system dynamics , action (physics) , matching (statistics) , differential (mechanical device) , differential equation , partial differential equation , control (management) , control theory (sociology) , mathematics , artificial intelligence , engineering , mathematical analysis , statistics , physics , quantum mechanics , astronomy , aerospace engineering , economic growth , economics
Modeling a natural phenomenon or the action mechanism of a tool is often done in science and technology. Observations through computer simulations cost less relatively. In the research, a bullet control model moving towards the target was explored. The research aimed to try to simulate the trajectory of the bullet that could be controlled in hunting. To model a controlled bullet, the Dubins model was used. Then, the used approach was control theory. The optimal trajectory and control for bullets were designed using the Pontryagin Maximum Principle. The results show that with this principle and the dynamic system of the bullet, a system of differential equations and adjoining is obtained. The fundamental problem arises because the bullet dynamics model in the form of a differential equation system has initial and final requirements. However, the adjoint matching system has no conditions at all. This problem is solved by using numerical methods. In addition, the research proves the convergence of the calculation results with the required results. The track simulation results are also reported at the end of the research to ensure a successful control design. From the simulation results, the presented method with its convergence has successfully solved the problem of bullet control.