大规模过程系统优化的稀疏SQP算法  

A SPARSE SQP ALGORITHM FOR THE OPTIMIZATION OF LARGE-SCALE PROCESS SYSTEMS

作　　者：仲卫涛[1] 邵之江[1] 张余岳[1] 张帆 钱积新[1] 

机构地区：[1]浙江大学工业控制技术研究所,浙江杭州310027

出　　处：《石油学报（石油加工）》2000年第4期55-59,共5页Acta Petrolei Sinica(Petroleum Processing Section)

基　　金："九五"国家重点科技攻关项目基金! (96 72 80 2 );国家自然科学基金!资助项目 (2 990 6 0 10 )

摘　　要：提出了一种适用于大规模过程系统在线优化命题的稀疏全空间 SQP算法。该算法利用解析导数构造Hessian矩阵 ,保持了系统的稀疏结构 ,并为寻优过程提供了精确的曲率信息。与传统 SQP算法相比 ,该算法的计算效率有了明显提高。对开放式方程精馏塔模型的实例计算表明 ,该算法在求解大规模过程系统优化命题时是可行和有效的。A full space sparse SQP algorithm for the on line optimization of large scale process systems was presented Analytical derivatives were used to build Hessian,the inherent sparse structure existing in systems was maintained and exploited,accurate curvature information was also obtained Compared with traditional SQP algorithm,the performance of this algorithm enhanced significantly Computational results on an equation based distillation column optimization problem demonstrated the possibility and efficiency of this algorithm for the optimization of large scale process systems

关 键 词：大规模系统 稀疏SQP算法 计算 系统工程 精馏塔 

分 类 号：TQ051.81[化学工程] TQ015.9