基于改进的迭代动态规划的化工过程动态优化  

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

作　　者：潘衍[1] 费正顺[1] 赵利[1] 梁军[1] 

机构地区：[1]浙江大学控制科学与工程学系工业控制技术国家重点实验室,杭州310027

出　　处：《华东理工大学学报（自然科学版）》2013年第1期61-65,共5页Journal of East China University of Science and Technology

基　　金：国家自然科学基金项目(61174114;60574047);国家高技术研究发展计划项目(2007AA04Z168);教育部博士点基金项目(20050335018)

摘　　要：为了对化工动态系统进行快速的全局优化,结合并加强迭代动态规划算法和一阶梯度算法的优势,同时利用随机搜索和定向搜索,提出了基于一阶梯度算法的迭代动态规划算法,通过2个化工生产实际例子应用,证明了该算法具有高效、高精度、全局性好等特点。To get the global optimization of chemical engineering dynamic system rapidly, an iterative dynamic programming algorithm based on first order algorithm was proposed. This used both stochastic search and deterministic search, which combined the advantages of it programming algorithm and first order gradient algorithm. Then the algorithm was applied examples of chemical producing. The results proved that the algorithm had advantages of efficiency and global optimization. eratlv improved algorithm e dynamic to two practical precision, highefficiency and global optimization.

关 键 词：迭代动态规划算法 一阶梯度算法 动态优化 

分 类 号：TQ015.9[化学工程]