Identification of the Dynamic Properties of the Coal Flotation Process as a Control Object with the Use of the Kalman Filter

For various sorts of hard coal, enrichment by flotation is used for feed consisting grains smaller than 0.5 mm. Regarding process automation, coal a multidimensional, dynamic nonlinear object control, which the main control signal flow rate agent. Typically, in Polish coal-processing facilities monitoring and systems can only measure parameter waste quality (content ash tailings). This naturally becomes an output signal, enabling indirect assessment ongoing process. Therefore, knowledge properties process, analysed as with one input (the agent) measuring tailings) may be material designing automatic this operation. It important to use appropriate identification method when developing model dynamics especially if parameters are determined on basis. article discusses research presents results applying identifying Kalman filter. We carried out comparative analysis obtained based algorithm least squares, taken reference method. The presented models were calculated actual data from industrial tests conducted at plant mines. was demonstrated that, purposes, successfully applied due fact that it gives satisfactory relation adopted despite recursive algorithm.