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润滑油生产中溶剂回收过程要消耗大量能量 ,但这个设备存在大时滞、强耦合、时变和干扰等 ,难于在线测量溶剂质量 .如何同时保证溶剂质量和节约能耗是一大挑战 .本文首先提出了一种非线性预测控制算法用于控制蒸馏塔温度 .由于该装置的特殊性 ,用于能量优化的数学建模和优化方法并不能满足实际需要 .因此 ,提出了一种把数学方法和专家系统方法相结合的混合建模和优化方法 ,其中用到了智能数据库 ,数学建模和优化方法 ,专家系统建模和优化方法 ,智能报警系统等 ,以提高装置的运行功能 .实际结果证明该方法很成功
It is difficult to measure the solvent quality online because of the large time delay, strong coupling, time-varying and interference, etc. It is a challenge how to ensure the quality of the solvent and save the energy consumption at the same time. First of all, a nonlinear predictive control algorithm is proposed to control the distillation column temperature. Due to the particularity of the device, mathematical modeling and optimization methods for energy optimization can not meet the actual needs. Therefore, a mathematical method And expert system approach combining hybrid modeling and optimization methods, including the use of intelligent database, mathematical modeling and optimization methods, expert system modeling and optimization methods, intelligent alarm system, etc., in order to improve the operation of the device. The actual results show that This method is very successful