【摘要】 针对发酵过程的特点,将参数估计技术引入模型算法控制(MAC),构成自校正模型算法控制,用于时变和非线性的青霉素发酵过程。以在线估计的排气二氧化碳释放率(CER)的脉冲响应模型为基础,进行预测控制,从中求得最佳加糖控制率,使CER跟踪理想变化轨迹,实现对生产的优化控制。仿真结果证明了上述控制算法的可行性和有效性。更多还原

【Abstract】 To deal with the fermentation process problem, the technique of parameter estimation is introduced to be combined with the model algorithm control （MAC）, resulting in self-tuning MAC. It is then used for the control of penicillin fermentation, which is time-variant and non-linear usually. On the basis of impulse response model of CO₂ evolution rate（CER）, the process is predicted and the optimal sugar feed rate is determined. Consequently, an optimal control is achieved with a good tracking of ideal CER change, thus leading to an optimal penicillin production. Simulation studies show that the control strategy developed is effective and feasible.更多还原