Parameter Recognition for Control Systems Based on Chaotic Ant Swarm Algorithm

Abstract

Chaotic ant swarm algorithm is a novel optimization method, which has the ability of global optimum search. In this paper, a new chaotic ant swarm algorithm was used to identify the parameters for control systems. First the problem of parameter estimation of the control system is converted to a problem of parameter optimization which could be solved via chaotic ant swarm algorithm. Chaotic ant swarm algorithm has the ability of global optimum search. A numerical simulation on the well-known control system is conducted. Simulation results show that the proposed method is effective in parameter estimation of the control system.