Title :
A novel immune dynamic prediction method for Sintering process control
Author :
Xu, Xuesong ; Wang, Sichun
Author_Institution :
Inst. of Manage. Eng., Hunan Univ. of Commerce, Changsha, China
Abstract :
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.
Keywords :
artificial immune systems; delays; kilns; matrix algebra; predictive control; process control; sintering; temperature control; Diophantine equation; immune colonal selection; immune computational intelligences; immune dynamic prediction method; inverse matrix; nonlinear map; rotary kiln temperature control process; sintering process control; time delay system; Computational intelligence; Control systems; Delay effects; Heuristic algorithms; Nonlinear dynamical systems; Prediction algorithms; Prediction methods; Predictive control; Process control; Temperature control; Immune Predictive Control; Rotary kiln; Sintering Process Control; immune clone;
Conference_Titel :
Information and Automation (ICIA), 2010 IEEE International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-5701-4
DOI :
10.1109/ICINFA.2010.5512243
