Deployment optimization for air defense base on artificial potential field
- Resource Type
- Conference
- Authors
- Chen, Chen; Jie, Chen; Chunmei, Zhang
- Source
- 2011 8th Asian Control Conference (ASCC) Control Conference (ASCC), 2011 8th Asian. :812-816 May, 2011
- Subject
- Robotics and Control Systems
Signal Processing and Analysis
Computing and Processing
Components, Circuits, Devices and Systems
Communication, Networking and Broadcast Technologies
Fires
Force
Optimization
Control systems
Mathematical model
Automation
Weapons
deployment optimization
multi-agent system
artificial potential field
complex environment
- Language
Firepower unit deployment of networked air defense fire control system is a constrained optimization problem in complex dynamic environment. With the development of intelligent weapon systems, firepower units become more and more autonomic. Regarding each firepower unit as an intelligent agent, artificial potential field method is employed to solve the difficulties in mathematical model description and complex constrains handling. Different types of virtual force are applied to units and environment. Unit equilibrium distribution is formed by adjusting parameters of artificial potential functions and deployment solutions are optimized by penetration probability minimization principle. Experiments show that the method is valid and it can be used as a reference to other multi-agent combat systems.