基于改进遗传算法的模糊张力控制

针对张力系统实时性的特点，提出了基于改进遗传算法的模糊控制器。该文对遗传优化的模糊控制器进行了改进：1）采用多调整因子的模糊控制器；2）引入超代遗传（HGGA）方法；3）对染色体个体编索引号，尽量避免其近亲繁殖。最后在张力平台上验证了上述算法，结果表明，上述控制方法有效地实现了张力的实时控制。

Fuzzy tension control based on improved genetic algorithm

In view of the real-time property of a tension system,the paper proposes a fuzzy controller optimized by improving genetic algorithm.The process of the improvement is as follows:1)The control rule can be adjusted by tuning parameters;2)the genetic algorithm of hyper generation is introduced;3)to avoid inbreeding,every chromosome has an index number.Finally,the algorithm is tested in a tension platform.The result has proved that the said control method can perform the effective real-time control of tension.