HAMMER MILL LOAD CURRENT ADAPTIVE CONTROL SYSTEM TRIALS

Abstract

Mixed fodder components milling process is quite energy-consuming. Dependence of specific energy consumption on the hammer mill productivity is extremal and the minimum of this extremum drifts with changing composition and qualities of the raw materials. Extremum search control systems utilization, however, is constrained due to the fact that automatic control systems (ACS) of the hammer mill drive electric motor (DEM) current load, as practice shows, often become unstable. For this control object (CO) it is practical to use ACS with self-tuning of the controller parameters. Hammer mill properties as a CO are well suited for verifying the efficiency of the algorithms of this system, because, firstly, the control channel transition coefficient changes in ten or more times, secondly, it has substantially nonlinear static characteristic and has the uncertainty of the parameters of the dynamic models. Functioning of the ACS with constant parameters of the controller and self-tuning ACS (STACS) are compared in this research. Results of the simulation and semi-industrial trials confirmed the developed self-tuning algorithms effectiveness and verified their software implementation. The system operates steadily throughout operating range of loads, therefore, it can be used as a part of optimization systems as an adaptive system of stabilization.

Keywords

• self-tuning automatic control system
• hammer mill mathematical model
• simulation
• semi-industrial trials