Optimized set-point model of grinding process based on case-based reasoning method

The grinding process is a typical complex nonlinear multivariable industrial production system with strongly coupling and large time delays. Based on the technological characteristics and system control requirements, a set-point optimization control strategy based on the case-based reasoning (CBR) method is proposed for obtaining the optimized velocity set-point of ore feed and pump water feed in the controlled loops of the grinding process, whose four key functional modules of CBR (case retrieve, case reuse, case revision and case retain) are described in details. The statistics results of the industrial experiments show that the set-point control strategy based on the CBR method realizes the on-line optimization of the grinding granularity and ore discharge ratio and lays solid foundations for the intelligent control of grinding process.