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针对预测函数控制的约束不可行和优先级问题,基于混杂系统以及混合逻辑动态模型的思想提出了约束不可行及优先级问题的混杂PFC处理方法,讨论了由PFC、混杂系统、松弛变量法所组成的约束不可行及优先级问题的具体实现方法与步骤。在通常PFC跟踪性能指标的基础上结合MLD与松弛变量法,通过将命题逻辑转化为混合逻辑不等式并与系统自身的约束相结合,将问题的可行性与优先级特性引入PFC控制器的求解当中,实现了在约束存在且干扰发生阶跃变化的情况下保证系统输出达到期望设定值的目标。所提出的方法成功应用于典型工业多入多出过程Wood-Berry塔,实现了多变量系统的混杂PFC控制,取得了明显的应用成效,改善了系统的性能指标,获得了较好的跟踪性能。
Aiming at the infeasible and prioritized constraints of the predictive function control, a hybrid PFC method for constraining infeasibility and priority problems is proposed based on the idea of hybrid systems and hybrid logic dynamic models. The PFC method based on PFC, hybrid systems, The composition of the constraint is not feasible and the priority of the specific implementation methods and steps. Based on the usual PFC tracking performance index, combined with MLD and slack variables method, the feasibility and priority of the problem are introduced into the PFC controller by transforming the propositional logic into a mixed logic inequality and combining with the system’s own constraints , And achieves the goal of ensuring that the output of the system reaches the desired setting value under the condition that the constraint exists and the step change of the disturbance occurs. The proposed method is successfully applied to the typical industrial multi-input and multi-output Wood-Berry tower, achieving a hybrid PFC control of multivariable systems, and has achieved obvious application results, improved the system performance index and obtained better tracking performance .