A fuzzy tension-controller based on genetic algorithm(GA)
基于遗传优化的张力模糊控制

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.