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《Transactions of The Chinese Society of Agricultural Engineering》 2003-04
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Slide position intelligent learning control of mechanical press

Zhao Hong, Lin Tingqi, Zhao Shengdun (Department of Mechanical & Electronic Engineering, Xi'an Jiaotong University , Xi'an 710049, China)  
A new iterative learning control strategy based on the expert knowledge used in the slide of mechanical press is proposed. The slide can be stopped on a accurate position at any point of the slide travel. The proposed strategy is more efficient and accurate than the tiny step operation method. A new computer control system is developed for the mechanical press. It is shown that a lot of experimental results using the new control strategy on press JH23 63 is highly accurate and efficient.
【Fund】: 全国高校优秀博士学位论文作者专项资金资助项目(1 99930 )
【CateGory Index】: TG315
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