Abstract
Belt conveyors generally run at designed nominal speed. When material loading rate is smaller than the nominal conveying capacity the belt is under the situation of being partially filled. It provides the potential of reducing energy consumption by means of adjusting the speed of the belt. For practical reasons discrete control is preferred to adjust the belt speed. This paper presents a fuzzy control method to improve the energy efficiency of large-scale belt conveying systems. Fuzzy logic is applied to represent the change of material loading rate. A fuzzy control algorithm is developed to optimize the adjustment of belt speed to avoid potential material spillage and material overload caused by the short-term material loading peaks. Energy savingsareestimated by computer simulation. Simulation model and outputare verified by practical measurement.
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