| Research on Intelligent Control of Roving Frame |
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| 作者姓名： | 王有庆 李从心 王占杭 |
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| 作者单位： | National Die & Mould CAD Engineering Research Center，Shanghai Jiaowng University，Shanghai，200030，National Die & Mould CAD Engineering Research Center，Shanghai Jiaowng University，Shanghai，200030，Hebei Taihang Machinery Factory，Shijiazhuang，051430 |
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| 摘 要： | A new model of roving frame FA467, which uses four frequency inverters to replace the complex mechanical transmission, is discussed. A Neuron-PID is designed to reduce the effect of various parametric variations such as load inertia. To ensure the constant spinning tension all over the spinning process, a feedforward controller using iterative learning control algorithm is desigend to avoid disturbances caused by changes of temperature, humidity and so on. The simulation result is shown to illustrate the effectiveness of the proposed algorithm, and now the roving frame FA467 has been developed successfully.
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Research on Intelligent Control of Roving Frame |
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| WANG You-qing,LI Cong-xin
National Die & Mould CAD Engineering Research Center,Shanghai Jiaotong University,Shanghai,
WANG Zhan-hang
Hebei Taihang Machinery Factory,Shijiazhuang.Research on Intelligent Control of Roving Frame[J].Journal of Donghua University,2003,20(4). |
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| Authors: | WANG You-qing LI Cong-xin
National Die & Mould CAD Engineering Research Center Shanghai Jiaotong University Shanghai WANG Zhan-hang
Hebei Taihang Machinery Factory Shijiazhuang |
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| Institution: | 1. National Die & Mould CAD Engineering Research Center,Shanghai Jiaotong University,Shanghai,200030
2. Hebei Taihang Machinery Factory,Shijiazhuang,051430 |
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| Abstract: | A new model of roving frame FA467, which uses four frequency inverters to replace the complex mechanical transmission, is discussed. A Neuron-PID is designed to reduce the effect of various parametric variations such as load inertia. To ensure the constant spinning tension all over the spinning process, a feedforward controller using iterative learning control algorithm is desigend to avoid disturbances caused by changes of temperature, humidity and so on. The simulation result is shown to illustrate the effectiveness of the proposed algorithm, and now the roving frame FA467 has been developed successfully. |
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| Keywords: | roving frame Neuron-PID controller iterative learning control frequency inverter |
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