摘要
为了解决气冲造型线普遍存在的推送系统推送和缓冲严重不同步的问题 ,提出了一种基于遗传算法和模拟退火算法的模糊控制策略 (GASAF) .用这种算法对模糊规则进行优化时 ,不仅速度快 ,还可避免算法的早熟收敛 .根据实际运行系统参数时变的特点 ,用自行设计的“判别器”对将要进入模糊推理机的模糊规则进行在线学习和测试 ,以保证用于实时控制的规则的优良性 .现场试运行结果表明 :这种控制器可使推送系统的位置跟踪精度达到 0 2 % 。
A new fuzzy control strategy based on the genetic algorithm(GA) and simulated annealing algorithm(SA) is presented to solve the problem of strong asynchronism of pushing system on air- impact molding line.The requirements of efficiency and global-optimization can be met at the same time. Based on the situation of time-varying of the parameters of pushing system in real-time control, a special “judger' is used for online learningand testing of the fuzzy control rulers which are supplied to the inference engine. The excellent performance of the designed fuzzy control strategy has been showed by testing result and production run.
出处
《西安交通大学学报》
EI
CAS
CSCD
北大核心
2001年第5期523-526,共4页
Journal of Xi'an Jiaotong University
基金
中国一拖集团公司研究生课题专项基金资助项目! (M 97980 0 6 )
