On-Line Optimization of Energy Consumption in Electromagnetic Mill Installation

Milling is one of the most energy consuming stages value production chain in many industries. To minimize specific required, new and more efficient devices circuits are designed dedicated optimizing control strategies applied. This research presents results innovative electromagnetic mill consumption reduction with supervisory on-line algorithm. The paper describes an algorithm that uses active power measurement searches for minimum on constraints optimization problem. follow from product quality, supply voltage magnetic induction requirements. Algorithm performance was tested simulations, but main validation performed a semi-industrial dry grinding classification circuit equipped mill. experiments presented this show application allows even 40% when compared to nominal operating point.