A adaptive grey fuzzy prediction controller design based on the improving residual error model

In this paper, based on improving residual error model, a novel adaptive grey fuzzy prediction control which combines the self-organizing fuzzy control (SOFC) with grey prediction control (GPC) is put forward. Depending on the precision of residual error model, the controller can self-adjust the combinational weights of SOFC and GPC model and prediction length by the fuzzy control equipment, so as to reach better adaptability and the dynamic characteristics. The result of the simulation shows that the controller has better dynamic characteristics and restrains interference more effectively than which of the traditional fuzzy control and the grey prediction control.