Abstract: The invention concerns a method for avoiding irreversible membrane clogging while maximising productivity, whatever the quality of the fluid at the installation intake. It consists in automatically controlling the installation operating parameters by performances induced by the quality of the fluid to be treated, based on predictions concerning the evolution of the membrane clogging carried out by modelling with a neuron network so as to simulate the long term operating conditions of the membrane filtering installation, the model enabling, on the basis of the quality of the in-flowing fluid and on the state of the membranes during a given cycle, to calculate the evolution of the clogging state of said membranes on a time basis, on a specific horizon, said calculation being performed for a simulated in-flowing quality, constant or variable, on said horizon (H) and to control and adjust the installation operating parameters.