适应多原料生产生物柴油过程的模型预测控制策略

Model Predict Control Strategy Adapted to Multifeedstocks Producing Biodiesel Process

针对生物柴油生产过程具有小批量、多品种特点,以原料切换为研究对象,进行控制系统设计。首先应用酯交换动力学模型建立机理模型,然后对酯交换过程的3个因子进行中心复合旋转设计(CCRD)来优化酯交换过程,进而得出原料切换时系统的最优参数,最后采用模型预测控制算法(MPC)设计出主动适应原料变化的控制器。经仿真研究得出,本文设计的主动适应原料变化的预测控制系统能够很好地改善酯交换器的性能指标。

A control system is designed to deal with the problem caused by multifeedstocks and low- volume properties of biodiesel production process. At first, the transesterification kinetic model is adopted to build mechanism model. Then, the central composite rotatable design（CCRD） method is employed to optimize three factors in the transesterification process, and to obtain the optimal parameters. Finally, the controller which can adapt to feedstocks change is designed based on the model predictive control algorithm. Simulation shows that the designed adaptive control system can be used to improve the performance of the transesterification reactor.