Predictive functional control(PFC)is a highly successful strategy within industry,but for cases with challenging dynamics the most effective tuning approaches are still an active research area.This paper shows how one...Predictive functional control(PFC)is a highly successful strategy within industry,but for cases with challenging dynamics the most effective tuning approaches are still an active research area.This paper shows how one can deploy some insights from the more traditional model predictive control literature in order to enable systematic tuning and in particular,to ensure that the key PFC tuning parameter,that is the desired closed-loop time constant,is effective.In addition to enabling easier and more effective tuning,the proposed approach has the advantage of being simple to code and thus retaining the simplicity of implementation and tuning that is a key selling point of PFC.This paper focuses on design for open-loop unstable and also processes with significant under-damping in their open-loop behaviour.展开更多
文摘Predictive functional control(PFC)is a highly successful strategy within industry,but for cases with challenging dynamics the most effective tuning approaches are still an active research area.This paper shows how one can deploy some insights from the more traditional model predictive control literature in order to enable systematic tuning and in particular,to ensure that the key PFC tuning parameter,that is the desired closed-loop time constant,is effective.In addition to enabling easier and more effective tuning,the proposed approach has the advantage of being simple to code and thus retaining the simplicity of implementation and tuning that is a key selling point of PFC.This paper focuses on design for open-loop unstable and also processes with significant under-damping in their open-loop behaviour.
