Dynamic Optimization for Chemical Process Based on Improved Iterative Dynamic Programming Algorithm

To get the global optimization of chemical engineering dynamic system rapidly, an improved iterative dynamic programming algorithm based on first order algorithm was proposed. This algorithm used both stochastic search and deterministic search, which combined the advantages of iterative dynamic programming algorithm and first order gradient algorithm. Then the algorithm was applied to two practical examples of chemical producing. The results proved that the algorithm had advantages of precision, high efficiency and global optimization.