Department of Automatic Control and Electronics, University of Craiova, Craiova, A.I. Cuza 13, 200585, Romania.
Department of Automatic Control and Electronics, University of Craiova, Craiova, A.I. Cuza 13, 200585, Romania.
Bioresour Technol. 2021 May;328:124836. doi: 10.1016/j.biortech.2021.124836. Epub 2021 Feb 15.
This study addresses the design of advanced control schemes implemented for a continuous fermentation process used to produce ethanol. Due to the inaccuracy of the models that express this complex process, a feasible controller is required to maximize the production of ethanol and to minimize its environmental impact, despite the existence of some significant uncertainties. Therefore, novel estimation and control schemes are designed and tested. These schemes are adaptive control laws including nonlinear estimation algorithms: a sliding mode observer to estimate the unknown influent concentration, but also state observers and parameter estimators used to estimate the unknown states and kinetics. Since the temperature is an important factor for an efficient operation of the process, an algorithm for temperature control in the bioreactor is also developed. To verify the control algorithms effectiveness, several tests performed via numerical simulations under realistic conditions are presented.
本研究针对用于生产乙醇的连续发酵过程的先进控制方案设计展开。由于表达这一复杂过程的模型存在不准确性，因此需要设计可行的控制器，在存在一些显著不确定性的情况下，最大限度地提高乙醇的产量并最小化其对环境的影响。为此，设计并测试了新的估计和控制方案。这些方案是自适应控制律，包括非线性估计算法：滑模观测器用于估计未知的入口浓度，还包括状态观测器和参数估计器，用于估计未知的状态和动力学。由于温度是过程高效运行的重要因素，因此还开发了用于生物反应器温度控制的算法。为了验证控制算法的有效性，在实际条件下通过数值模拟进行了多项测试。
