An Improved Ant Colony Algorithm for PID Parameters Optimization

In view of traditional PID controller parameters optimization by Z—N method, and none satisfactory dynamic properties can be gotten, so a new PID controller parameters optimization method based on improved Ant Colony Algorithm is put forward in this paper. Ant Colony Algorithm is a way of heuristic, which adopts parallel computation mechanism, characterized with strong robust. This paper proposes an improved algorithm based on adaptively adjusting the pheromone on routes; meanwhile, in order to avoid stagnation of the search, the range of possible pheromone trails on each solution component is limited to a maximum-minimum interval. Simulation experiment shows the proposed Ant Colony Algorithm is feasible.