A Particle Swarm Optimization for Fuel-Optimal Impulsive Control Problems of Guided Projectile
This paper presents a new approach to a fuel-optimal impulsive control problem of the guided projectile by using an improved particle swarm optimization technique. The problem is interpreted by using optimal control theory resulting in the formulation of minimum-fuel impulse control problem. The formulation entails nonlinear, 3-dimensional projectile flight dynamics, boundary conditions and discontinuous objective function that make the problem of finding the global optimum difficult using any other mathematical approaches. In this paper, an improved Particle Swarm Optimization (PSO) mechanism is employed for optimal setting of control variables of the optimal impulsive control (OIC) problem. The proposed approach has been applied in an instance of the antiaircraft guided projectile attacking a fixed target. The result shows the practicality and accuracy of the method for dealing with such OIC problem.
optimal impulsive control particle swarm optimization integer operation
Hongwei Yang Lihua Dou Mingang Gan
School of Automation, Beijing Institute of Technology, Beijing 100081
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
3034-3038
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）