This paper presents an extension of a recently proposed hierarchical control framework applied to linearization-based unconstrained control of a cryogenic refrigerator. The extension concerns the validation of the framework in the presence of both nonlinear models and constraints. It is also shown that real-time handling of these features requires a specific complexity reduction technique. This technique performs the distribution of the optimization process over cyclically changed decision variables aiming at limiting the number of iterations per updating period. Numerical simulations are proposed in order to show the impact of the parameters choices and to assess the real-time implementability of the proposed framework.

本文介绍了最近提出的分层控制框架的扩展，该框架应用于基于线性化的低温冰箱无约束控制。扩展涉及在存在非线性模型和约束的情况下验证框架。它还表明，这些特征的实时处理需要特定的复杂性降低技术。该技术在周期性变化的决策变量上执行优化过程的分布，旨在限制每个更新周期的迭代次数。提出了数值模拟，以显示参数选择的影响并评估所提出框架的实时可实施性。