A Hybrid MPC-PID Control System Design for the Continuous Purification and Processing of Active Pharmaceutical Ingredients

Abstract

Abstract:In this work, a hybrid MPC (model predictive control)-PID (proportional-integral-derivative) control system has been designed for the continuous purification and processing framework of active pharmaceutical ingredients (APIs). The specific unit operations associated with the purification and processing of API have been developed from first-principles and connected in a continuous framework in the form of a flowsheet model. These integrated unit operations are highly interactive along with the presence of process delays.Therefore, a hybrid MPC-PID is a promising alternative to achieve the desired control loop performance as mandated by the regulatory authorities. The integrated flowsheet model has been simulated in gPROMS TM (Process System Enterprise, London, UK). This flowsheet model has been linearized in order to design the control scheme. The ability to track the set point and reject disturbances has been evaluated. A comparative study between the performance of the hybrid MPC-PID and a PID-only control scheme has been presented. The results show that an enhanced control loop performance can be obtained under the hybrid control scheme and demonstrate that such a scheme has high potential in improving the efficiency of pharmaceutical manufacturing operations.

Active disturbance rejection-based industrial cascade control plant with cloud monitoring

“…Cascade control design (CCD) strategies are widely used for better tracking of desired inputs (Pedro and Germain, 2017; Mahapatro et al , 2017; Wang et al , 2015). CCD has been using by many researchers for proportional-integral derivative (PID) controller (Yi et al , 2015; Sangeetha et al , 2016; Yang et al , 2011), model predictive control (Sen et al , 2014; Keadtipod and Banjerdpongchai, 2016; Ling et al , 2004), adaptive control (Waurajitti et al , 2000) to achieve desired performance.…”

Forkloader Position Control for A Mini Heavy Loaded Vehicle using Fuzzy Logic-Antiwindup Control

“…Elsodany et al used fuzzy logic in PID control to optimise gain scheduling when controlling a permanent magnet steer motor for a flexible rotor drive; conventional PID control was unable to stabilize the load speed response performance with variable load inertia [2]. Other adaptive PID control, such as Model Pridictive Control with PID [3], Genetic Algorithm and Fire Fly Algorithm with PID [3], Least Squares Suort Vector Machines (LSSVM) identifier PID [4] and NN-based PID [5], also show positive improvement over the classical control implementation, either mathematically or in actual system feasible studies and experiments. The integral windup, also known as reset windup, refers to the phenomenon of PID feedback controller that occurs when a big change haened in the reference and the integrator produces a notable error during risetime (windup).…”

“…The integral windup, also known as reset windup, refers to the phenomenon of PID feedback controller that occurs when a big change haened in the reference and the integrator produces a notable error during risetime (windup). The change produces an overshoot that causes the peaks of the control signal to be higher than the reference signal [1], such as stated in [3], and the strong output oscillations could cause the system to require a longer duration to reach steady-state condition. Consequently, anti-windup PID is designed and implemented to control the amount of control output so that it will not go beyond the standard operating range, while maintaining in the saturated zone [1].…”

Optimized continuous pharmaceutical manufacturing via model-predictive control

“…Other investigations dealing with hybrid MPC-PID control 100 system design can be found in [38]. Applications of this concept to pharmaceutical processes are described in [39,8,40]. The design approaches are again based on the identification of linear models from simulation data.…”