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In this paper, a novel optimal control scheme for ground-granulated blast-furnace slag (GGBS) production process is proposed by using the iterative adaptive dynamic programming (ADP) method and dynamic optimization of desired values. To handle the characteristic of changing operation modes and to obtain a practical optimal control result, this paper formulates the GGBS optimal control problem based on an intensive study of the production technique, and constructs the optimal control scheme based on the repetitive optimization strategy — “target optimization” and “process optimization”. To obtain the optimal targets matching with changing operation modes, SVM modeling and multi-objective optimization method are utilized to solve the multi-objective optimization problem. In order to minimize the performance index function further and faster, iterative tuning technology is adopted to design the ADP based optimal control method. Finally, simulation is conducted to verify the effectiveness of the proposed approach.

Iterative ADP Optimal Control for GGBS Production Based on Dynamic Target Optimization