This paper presents the optimization of a PID controller by means of particle swarm optimization metaheuristic. Each particle corresponds to a vector that contains the gains of the PID multimodal actions. The controller is implemented on a scale plant designed for air pressurization in a storage tank. The results obtained are compared with an advanced predictive DMC controller, showing the superiority of the proposed methodology to optimize the PID controller.