A novel immune dynamic prediction method for Sintering process control

Aim to the time delay system such as Sintering process control, an immune dynamic predictive control algorithm based on immune computational intelligences was proposed. The predictive control parameter was optimized through immune colonal selection. Avoiding the solution of Diophantine equation and inverse matrix, reducing the input dimensions of the nonlinear map. Experimental used in the time delay system illustrated that the approach is an effective and quick way in solving this kind control system. Then this approach was applied to rotary kiln temperature control process, experiment results show the feasibility and effectiveness of the control method and indicate the fusion study of immune computational intelligence and the prediction control system is a beneficial complement to modern intelligent control method.