基于差分进化算法的酿酒酵母分批补料培养在线自适应控制

Fed-batch Culture of Saccharomyces cerevisiae with Adaptive Control Based on Differential Evolution Algorithm

酿酒酵母分批补料培养中,葡萄糖添加过量会导致乙醇大量积累,破坏细胞结构及功能,降低葡萄糖利用效率;葡萄糖添加不足会限制细胞生长。为解决这一矛盾,提出了一种基于差分进化算法的在线自适应控制策略,并利用计算机仿真方法对该策略、传统的间歇流加、分段恒速流加及PID控制策略的控制性能进行了研究和比较。结果表明,在该控制策略下,发酵液中的乙醇浓度能够被稳定地控制在1g/L的低水平,而细胞浓度却达到34.45g/L的高水平,比采用间歇流加、分段恒速流加及PID控制策略的批次分别提高了243%、18%和29%。由此可知,该自适应控制策略能够将葡萄糖流加速率控制在适宜水平,避免乙醇过量积累的同时保证细胞的快速增殖。

In fed-batch culture of Saccharomyces cerevisiae,excessive glucose addition leads to much ethanol accumulation,destroying structure and function of cell and decreasing glucose utilization efficiency,while insufficient glucose addition limits cell growth.To solve this problem,a self-adaptive control strategy based on differential evolution algorithm was proposed.In addition,performances of the proposed strategy,traditional strategy,were tested and compared using computer simulation.As a result,under the proposed control strategy,ethanol concentration could be maintained at the low level of 1.0g / L,while the biomass concentration could reach to the high level of 34.45 g / L,which was 243%,18% and 29% higher than those under intermittent feed,stepped constant feed and PID control strategy,respectively.In conclusion,the proposed self-adaptive control strategy was capable of controlling glucose feed rate at proper level,and thus ensured the rapid growth of yeast when repressing ethanol accumulation.