Cross Layer Energy Demand Model of Machining Automatic Line Based on Generalized Threshold Representation
In order to achieve the optimal setting of multiple level analysis,a cross level model of machining automatic line en-ergy demand based on dual machine generalized threshold representation was proposed.Firstly,the sub optimal decision was eliminated by establishing the interaction between the machine and the system organization layer in the optimization phase.The traditional sequential optimization method was transformed into recursive optimization method.In addition,the minimum energy time function was used to link the machine level high-resolution model with variable power and processing rate with the system level state model.Furthermore,a Markov generalized threshold model was used to simulate the random behavior of the machine through the exponential downward state,and the control strategy was implemented at the actual level of the interoperability buf-fer.Finally,an industrial case is used to verify that the proposed method can effectively reduce costs and improve efficiency.
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