CAJ | 학술논문

针对不确定性间歇过程的实时优化问题，提出了一种集成批间和批内优化的新实时优化控制方法。首先求解标称模型得到最优输入轨迹的结构，然后将输入轨迹参数化为若干标量决策变量及子输入轨迹。对最优性条件中的终端约束部分，使用批间优化满足约束条件；对梯度轨迹部分，提出一种回归法近似最优输入轨迹，以解决不确定扰动的在线不可测问题，实现梯度轨迹的批内优化。对一个间歇反应器的仿真研究表明了新方法的有效性。
침대불학정성간헐과정적실시우화문제，제출료일충집성비간화비내우화적신실시우화공제방법。수선구해표칭모형득도최우수입궤적적결구，연후장수입궤적삼수화위약간표량결책변량급자수입궤적。대최우성조건중적종단약속부분，사용비간우화만족약속조건；대제도궤적부분，제출일충회귀법근사최우수입궤적，이해결불학정우동적재선불가측문제，실현제도궤적적비내우화。대일개간헐반응기적방진연구표명료신방법적유효성。
An integrated batch-to-batch and within batch optimization approach was proposed for real-time optimization of uncertain batch processes. Firstly, the structural information of optimal input trajectory was obtained by optimizing the nominal model, then the whole trajectory was parametrized as scalar variables and sub-trajectories. For the active terminal constraints in the necessary conditions of optimality, the batch-to-batch optimizing approach was taken to satisfy constraint condition. For the sensitivity part, which contained unknown disturbances that entered the optimal feedback, a regression approach was proposed to approximate the optimal input using measurements, hence within batch optimization could be realized. The effectiveness of the proposed integrated optimization approach was verified through the study of a batch reactor.