Study on Preview Control Theory for Trajectory Tracking Control
Trajectory tracking is popularity in industrial procession, such as machining parts control, high automatic control for a roller of shearer cutting in memory mode, etc.. In these cases, trajectory tracked was often artificially predetermined, and essentially belongs to the fields of predictable control. There are still some shortages in the respect of tracking accuracy and responsiveness among the existing control methods. Therefore, the application of predicted control theory, with the neural network and genetic algorithm identifying the dynamic object model, gives new vigor and vitality to the traditional trajectory tracking.
Auto-adjusting of height for CaiMeiJi previewing control memory cutting neural network
LIU XIAO-Feng TIAN MU-Qin LVYONG-Wei WANG SHU-Hua
Taiyuan University of Technology Taiyuan, China
国际会议
International Conference on Computational Aspects of Social Networks(国际社会网络计算会议 CASoN 2010)
太原
英文
445-447
2010-09-26(万方平台首次上网日期,不代表论文的发表时间)