| 摘要: |
| 目的 研究纸纱复合制袋印刷一体机纸张张力控制器。方法 针对纸纱复合制袋印刷一体机的张力控制问题， 结合模糊自适应PID与粒子群算法， 设计基于余弦自适应调整惯性权重的粒子群优化算法的模糊自适应PID张力控制器。利用余弦自适应调整惯性权重的粒子群优化算法， 搜索出一组最优的PID参数， 来提高张力的控制精度。结果 仿真结果表明， 该张力控制方法的响应时间为0.25 s， 最大超调量为 2%， 小于其他方法的响应时间和最大超调量。结论 设计的控制器与传统的PID控制和模糊自适应PID控制相比， 具有响应速度快、 控制输出稳定、 调节时间短等优点。 |
| 关键词: 张力控制 粒子群算法 模糊控制 惯性权重 |
| DOI： |
| 分类号:TS803 |
| 基金项目: |
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| Design of Tension Controller for Compound Paper-yarn Bag-making and Printing All-in-one Machine |
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LUO Gui-bing, PENG Zhen-rui
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Lanzhou Jiaotong University，Lanzhou 730070，China
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| Abstract: |
| The aim of this study was to investigate the paper tension controller for compound paper-yarn bag-making and printing all-in-one machine. According to the problem of tension control of the compound paper-yarn bag-making and printing all-in-one machine, combining the fuzzy adaptive PID control and particle swarm algorithm, a fuzzy adaptive PID tension controller based on cosine adjusting inertia weight of the particle swarm optimization algorithm. A set of optimal PID parameters were searched out using particle swarm optimization algorithm with cosine adaptive inertia weight to improve the accuracy of tension control. The simulation results showed that the response time of the tension control method was 0.25 s, and the maximum overshoot was 2%, smaller than the response time and maximum overshoot of other methods. Compared with the traditional PID control and fuzzy adaptive PID control, the controller designed had advantages such as quick response speed, stable control output and short setting time. |
| Key words: tension control particle swarm algorithm fuzzy control inertia weight |
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