Implementación de un control predictivo basado en modelo aplicado a un sistema de control de caudal de agua didáctico

Abstract

The proportional-integral-derivative controller -PID- has become the most used tool of regulation of process variables, and so it has been applied indiscriminately on linear and nonlinear dynamic systems, resulting in control problems in the industry, occurring loss of efficiency in productivity and decreased quality of manufactured products. Among the modern control techniques that have emerged to respond to those applications in which the PID controller has not operated satisfactorily, there is the model based predictive control -MPC-. This control algorithm has been characterized by its great capacity to respond, however, its expansion in the industrial sector has been slow, as it has been commercialized for specific applications. This paper presents an application of MPC on the regulation of water flow in a laboratory system using commercial control equipment and instrumentation, describing the formulation process control algorithm, the technical assistance required for the execution of experimental tests necessary to obtain the mathematical model of the plant and finally implementing the proposed control technique. The results evidence the great possibilities of applying effectively this control technique in variable regulation of general dynamic systems.