基于模糊内模的自适应控制算法的并行处理

Parallel processing for adaptive control algorithm based on fuzzy internal model

针对非线性系统,在PRAM计算模型上,探讨基于模糊内模自适应控制算法的并行处理。利用TSK建模方法,m个处理机并行地在线辨识出模糊内部模型,并采用内模控制理论并行求出H2最优控制器。仿真实验表明,并行处理方法达到亚线性加速,可以较好地满足实时在线辨识内部模型的应用需求。

Based on PRAM computing model, the parallel processing for adaptive control algorithm based on fuzzy internal model, which aimed at nonlinear system, is discussed. By applying TSK-modeling scheme, the %m% processors identify fuzzy internal model on-line and design linear quadratic optimal (%H%-2-) is obtained in parallel by using the internal model control theory. The simulation experiment shows that the parallel processing method obtains sub-linear speedup, and the requirement for real-time identification of internal model on-line is basically satisfied.;