| 引用本文: | 何金保,郭 帅,何永义,方明伦.基于遗传优化的张力模糊控制[J].控制理论与应用,2009,26(3):243~248.[点击复制] |
| HE Jin-bao,GUO Shuai,HE Yong-yi,FANG Ming-lun.A fuzzy tension-controller based on genetic algorithm(GA)[J].Control Theory and Technology,2009,26(3):243~248.[点击复制] |
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| 基于遗传优化的张力模糊控制 |
| A fuzzy tension-controller based on genetic algorithm(GA) |
| 摘要点击 2117 全文点击 1786 投稿时间：2007-11-02 修订日期：2008-07-04 |
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| DOI编号 10.7641/j.issn.1000-8152.2009.3.003 |
| 2009,26(3):243-248 |
| 中文关键词 模糊控制 张力控制 实时控制 超代遗传 |
| 英文关键词 fuzzy control tension control real-time control hyper generation GA |
| 基金项目 |
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| 中文摘要 |
| 针对张力系统实时性的要求, 同时为了保证控制系统可靠性, 提出了在线和离线遗传优化的张力系统模糊控制方法. 首先, 离线部分采用遗传算法优化输入输出量的隶属度函数, 获得控制量输出表, 供在线调用. 然后, 在线部分采用超代遗传算法(HGGA)优化输入量化因子和输出比例因子, 缩短算法运行时间, 加快收敛速度. 同时为了补偿系统的时滞, 调整了被调量的当前误差和误差变化率. 最后在张力平台上验证了上述算法. 结果表明, 上述控制方法实现了张力实时控制. |
| 英文摘要 |
| To meet the requirements of real-time operation and the specification on reliability for a tension system, an on-line-off-line fuzzy controller is proposed via the genetic optimal algorithm. In the off-line part, the membership functions of inputs and output are optimized by the GA to produce the output-table for the on-line use. In the on-line part, the quantization factors and the proportion factor are optimized by the hyper generation GA(HGGA) for reducing the computation time. Furthermore, the current error and its variation are adjusted to compensate the time delay. Finally, the algorithm is tested in a tension platform for verifying its feasibility. |
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