Advanced Model Predictive Feedforward/Feedback Control of a Tablet Press Conference: AIChE Annual MeetingYear: 2017Proceeding: 2017 AIChE Annual MeetingGroup: Student Poster SessionsSession: Undergraduate Student Poster Session: Computing and Process Control Time: Monday, October 30, 2017 - 10:00am-12:30pm In continuous pharmaceutical manufacturing, real-time precise control of critical quality attributes (CQAs) is necessary for quality by design (QbD)-based manufacturing and real-time release (RTR) with minimum consumption of time, space, and resources. Pharmaceutical tablets can be produced through different routes with a common tablet press unit operation always placed at the end of the manufacturing process. Therefore, the tablet press is a crucial unit operation directly influencing the CQAs irrespective of manufacturing routes. Despite this, little attention has been paid to the development of an advanced efficient control system for the tablet press. Process modeling can be used as an efficient virtual experimentation tool to design, compare, and evaluate different control systems. We developed a model in Simulink (Mathworks) that includes two master control loops for tablet weight and hardness and a slave feedback loop controlling the compaction force applied to each tablet. We examined the performance of different control strategies based on proportional integral derivative (PID) control and model predictive control (MPC), as well as feedforward/feedback control. We found that a hybrid MPC-PID control strategy outperforms the PID-only control strategy. We also observed that the addition of a feedforward controller further improves the performance of the hybrid MPC-PID control strategy.