上海交通大学学报

上海交通大学学报（自然版） ›› 2011, Vol. 45 ›› Issue (07): 975-979.

• 自动化技术、计算机技术 • 上一篇    下一篇

基于机会约束规划的生产全过程实时优化

张艳1，丁茂森1，毛宏燕2   

  1. (1.上海海事大学 物流工程学院， 上海 201306； 2.华东师范大学 软件学院， 上海 200062)
  • 收稿日期:2010-08-23 出版日期:2011-07-29 发布日期:2011-07-29
  • 基金资助:

    上海市教委科研创新项目(09YZ241)；国家自然科学基金资助项目(60804033)；上海市教委重点学科建设项目(J50602)

Real-Time Optimization Based on Chance-Constrained Programming for Plant-Wide Processes

 ZHANG  Yan-1, DING  Mao-Sen-1, MAO  Hong-Yan-2   

  1. (1. Logistics Engineering College, Shanghai Maritime University, Shanghai 201306, China;2. School of Software Engineering, East China Normal University, Shanghai 200062, China)
  • Received:2010-08-23 Online:2011-07-29 Published:2011-07-29

摘要：  针对一类生产全过程，提出了基于机会约束规划的动态实时优化策略.基于产品质量优化模型，利用机会约束规划，将实时优化问题中的经济和模型不确定约束以一定的置信水平概率满足，通过求解联合概率约束问题，确定各子过程控制器的最优设定值.通过步进式加热炉炉温设定值优化问题的仿真研究，验证了该方法的有效性和实用性.

关键词: 实时优化, 生产全过程, 机会约束规划, 步进式加热炉

Abstract: A dynamic real-time optimization (RTO) scheme based on chanceconstrained programming (CCP) was presented for a class of plant-wide processes. Chance-constrained programming is employed in the optimization problem, in which the constraints containing economic and model uncertainties are guaranteed to be satisfied at a high level of probability. The real-time optimizer based on product quality model determines the optimal setpoint for each sub-process by solving joint probability constrained problem. Simulation studies for furnace temperature setpoints optimization problem of the walking beam reheating furnace were illustrated to verify the effectiveness and practicality of the proposed method.

Key words: real-time optimization (RTO), plant-wide processes, chance-constrained programming (CCP), walking beam reheating furnace

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