Intelligent Multivariable Decision-Making System for Complicated Industrial Process Control

Complicated industrial processes are generally characterized by being multivariable, non-linearity, severe coupling, large-time delay and time-variance. As such, it is difficult to achieve a satisfactory performance using a conventional control method. In this paper, an intelligent multivariable decision-making system for mineral grinding process control is proposed with the case-based reasoning (CBR). This intelligent decision system can auto-adjust the set-points of the process controllers according to the operational conditions. As long as the process control system tracks their adjusted set-points, the closed-loop control of grinding particle size is achieved. The industrial application in a mineral processing plant shows the effectiveness of the proposed approach.