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Control of complex dynamic nonlinear loading process for electromagnetic mill

Ogonowski Szymon, Bismor Dariusz, Ogonowski Zbigniew

Archives of Control Sciences

2020

Vol. 30, No. 3

471--500

Electromagnetic mill installation for dry grinding represents a complex dynamical system that requires specially designed control system. The paper presents model-based predictive control which locates closed loop poles in arbitrary places. The controller performs as gains cheduling prototype where nonlinear model – artificial recurrent neural network, is parameterized with additional measurements and serves as a basis for local linear approximation. Application of such a concept to control electromagnetic mill load allows for stable performance of the installation and assures fulfilment of the product quality as well as the optimization of the energy consumption.