Abstract
Some key problems in the production of plate metals are analyzed, such as low accuracy and efficiency, and difficult to acquire knowledge for automatic control in manual operation. Requirements of straightening machine to intelligent control system and the major function of the system are confirmed. Technology analytical methods are used to study the workflow of intelligent control system in a straightening machine and information treating processes. A general planning of intelligent control system in a straightening machine is offered. By contrastive analysis to three description methods of strip shape information, the relative length expression is taken as an ideal strip shape information index, and giving a method of strip shape information obtained online. Test and calculation prove that the testing system of information can meet product need. This control system scheme can provide a reference to the research and development of product on intelligent controlling strip shape straightening machine.
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Acknowledgements
This work was supported by the Natural Science Foundation of Gansu Province, China under Grant no. 17YF1GA001 and the Science Technology Program of Lanzhou City, Gansu Province, China under Grant no. 2015-3-99.
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Zhang, Z., An, H., Shi, R. (2020). Research on Intelligent Control System of Plate Straightening Based on Knowledge Acquisition. In: Patnaik, S., Wang, J., Yu, Z., Dey, N. (eds) Recent Developments in Mechatronics and Intelligent Robotics. ICMIR 2019. Advances in Intelligent Systems and Computing, vol 1060. Springer, Singapore. https://doi.org/10.1007/978-981-15-0238-5_10
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DOI: https://doi.org/10.1007/978-981-15-0238-5_10
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