A self-adjusting grey fuzzy prediction controller design based on residual error model

In this paper, based on residual error model, a novel grey fuzzy prediction control which combines traditional fuzzy control (TFC) 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 TFC and GPC model and prediction length 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.