PFTL 101A-0.5kN 3BSE004160R1 | ABB | Feedforward multi-layer network model

Description

PFTL 101A-0.5kN 3BSE004160R1 | ABB | Feedforward multi-layer network model

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The PFTL 101A-0.5kN results show that based on the above control strategy, the system meets the requirements of increasing the height of the loop while maintaining small fluctuations in the tension of the loop. At 500ms, the change in tensile stress is -0.2N · mm-2, and at 800ms, the change in tensile stress is -0.05N · mm-2, thus achieving decoupling control of the loop height and tension coupling system

How to solidify the control algorithm of neural networks onto specialized chips to solve the contradiction between high-speed rolling process and complex control algorithm calculation time is a PFTL 101A-0.5kN for practical application in hot rolling sites. Based on the above analysis, this paper designs relevant simulation software and implements a feedforward multi-layer network model that can perform on-chip learning using BP algorithm using FPGA

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