Pereira, Glinka Cathy. Combined feedforward/feedback control of an integrated continuous granulation process. Retrieved from https://doi.org/doi:10.7282/T3M048N1
DescriptionContinuous pharmaceutical manufacturing (CPM) offers shorter processing times and increased product quality assurance, among several other advantages which makes it an ever growing interest among pharmaceutical companies. A suitable efficient control system is however desired for CPM to achieve a consistent predefined end product quality. The feedforward controller measures and takes corrective actions for disturbances proactively before they affect the process and thereby product quality. The feedback controller considers the real time deviation of control variable from pre-specified set point and keeps it at a minimum possible value. The deviation of a control variable from the set point could be because of both measurable and unmeasurable disturbances. In order to control product quality more accurately, the effects of input disturbances need to be proactively mitigated. Therefore, it is desired that a combined feedforward/feedback control system integrated with suitable Process Analytical Technology (PAT) be implemented over a traditional feedback-only control system. In this work, an advanced combined control strategy has been developed for a continuous twin screw wet granulation (WG) process. A pre-blend of the active pharmaceutical ingredient (API) and intragranular components is fed into the continuous twin screw granulator (TSG), together with second stream containing excipient. Lack of homogeneity of the active ingredient in the pre-blend stream is a major source of variability in the process. Negligible back mixing within the granulator ensures that the input variability exits the granulator unfiltered and is manifested as content non-uniformity in the granules. An integrated flowsheet was developed and simulated in order to evaluate the effect of control loops on critical quality attributes (CQAs). Different strategies of manipulation have been evaluated and the best strategy was identified. In silico study on the combined feedforward/feedback control strategy and feedback-only control strategy demonstrates that the combined loop results in diminished variability of the CQAs. Different control algorithms were then evaluated and the best control algorithm was successfully implemented in the pilot plant.