Transactions of Materials and Heat Treatment

Title：Intelligent control method combining mechanism and data in the die forging process

Authors： Chen Yu Lyu Wenbing Lu Xinjiang

Unit： Central South University

KeyWords： large die forging forming mechanism model online sequential extreme learning machine physical model controller data model controller hybrid model controller control law

ClassificationCode：TG315.4

year,vol(issue):pagenumber：2017,42(4):170-178

Abstract：

The process of large die forging forming is a complex nonlinear and time-varying forging process that includes a rheological forming process and a driving process of hydraulic system. Therefore, the accurate forging control is extremely difficult due to the existence of oil leakage and many other uncertainties. So, based on the combination of mechanism model control and advantages of data control, an intelligent control method was put forward based on the combination of physical model and online sequential extreme learning machine (OS-ELM). Firstly, the nominal model control law was deduced by the known system information. Secondly, according to the model uncertain parts, the compensation control law of the online-model method was designed by OS-ELM. Lastly, the hybrid model controller based on the physical model and the data model was built, and the best control law was obtained. The simulation results demonstrate that the new method can effectively control the complex forging process and achieve better control accuracy.

Funds：

国家重点基础研究发展计划(“973”计划)项目(2011CB706802)；国家自然科学基金资助项目(51205420)；新世纪人才计划基金(NCET-13-0593)；湖南省自然科学基金资助项目(14JJ3011)

陈宇(1990-)，男，硕士研究生 E-mail：1546319120@qq.com 通讯作者：陆新江（1979-），男，博士，教授 E-mail：luxj@csu.edu.cn

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