Modelling module of the intelligent control system for the variable volume pressure filter

Artificial Intelligence methods like expert systems, fuzzy logic and neural networks have proved to be excellent tools for the control of mineral processes. This technology has been currently embedded also directly into the process equipment like flotation cells end dewatering filters. This paper presents the modelling module of the intelligent control system for the variable volume pressure filter. The modelling module of the intelligent system utilises the real-time methods for the prediction of the filtration behaviour; one of them based on the new filtration model. The classical filtration model will also be tested and the recursive least square identification method. Finally the simulation results and the long-term testing results at the pilot plant will be presented.