Internal model control of superheated steam temperature system using T-S fuzzy model

Based on the T-S fuzzy model, this paper puts a new fuzzy internal model control strategy for nonlinear complex control system. Firstly we use T-S fuzzy model to describe the complex control system, then use the interior model control strategy to get T-S fuzzy controller. GA is adopted to optimize the parameters of filters within the IMC structure. Simulation for a steam temperature system with severe parameter uncertainty, multiple disturbance and large time delay is carried out. Simulation results demonstrate that it can adapt the large changing of dynamic model, a good robust regulating performance is obtained. It can also get satisfactory control quality when the operating point changes on a large scale.