Temperature Control of a Bench-Scale Batch Polymerization Reactor for Polystyrene Production (original) (raw)

Adaptive fuzzy control of MMA batch polymerization reactor based on fuzzy trajectory definition

Proceedings of the 2004 American Control Conference, 2004

In this research an adaptive fuzzy controller was applied to temperature control of a MMA batch polymerization reactor which use jacket temperature error in additional reactor temperature error. However, the desired jacket temperature is affected by noise and disturbance. Therefore there is uncertainty in desired value of this variable. Fuzzy numbers are applied to model this uncertainty and a fuzzy trajectory was achieved for jacket desired temperature. Then a special case of fuzzy controller called generalized Takagi-Sugeno-Kang fuzzy controller, and an adaptation mechanism was designed. Experimental results present the fine performance of this controller in temperature control of solution polymerization of methyl methacrylate.

Takagi-Sugeno fuzzy control of batch polymerization reactors

Soft Computing in Engineering Design and Manufacturing, pp. 420-429, 1998

It is a well-known fact that batch processes are gaining wider ground in chemical industries. Compared with continuous processes the control of batch processes is more difficult because of the physical and chemical properties of the contents, such as heat capacity, heat transfer coefficient and reaction rate, which vary from run to run and within runs. The control problem focuses on the temperature control of a polystyrene batch reactor using the rule based Takagi-Sugeno fuzzy controller based on the controller output error method. The proposed learning fuzzy logic controllers are shown to be capable of providing a good overall system performance.

Fuzzy control of a nylon polymerization semi-batch reactor

Fuzzy Sets and Systems, 2009

Batch and semi-batch polymerization reactors with specified trajectories for certain process variables present challenging control problems. This work reports, results and procedures related to the application of PI (proportional and integral) fuzzy control in a semi-batch reactor for the production of nylon 6. Closed loop simulation results were based on a phenomenological model adjusted for a commercial reactor and they attest to the potential benefits and versatility of the use of PI fuzzy control in polymerization systems.

Self-Tuning Control of Batch Polymerization Reactor

JOURNAL OF CHEMICAL ENGINEERING OF JAPAN, 1998

The optimal temperature control of a batch jacketed free radical polymerization reactor with self-tuning PID and conventional PID control methods are considered. The controller is implemented on a digital computer to track precalculated optimal temperature trajectories obtained for different initiator initiation concentration in a batch styrene polymerization reactor. The performance of the self-tuning controller is compared against that of a PID controller. Self-tuning controller provides good, robust control in despite of the nonlinear dynamics of the polymerization reactor system.

Nonlinear temperature control of a batch suspension polymerization reactor

Polymer Engineering & Science, 2002

T his paper concerns molecular weight control of a batch polymerization reactor where suspension polymerization of methyl methacrylate(MMA) takes place. For this purpose, a cascade control structure with two control loops has been selected. The slave loop is used for temperature control using on-line temperature measurements, and the master loop controls the average molecular weights based on its estimated values. Two different control algorithms namely proportional-integral(PI) controller and globally linearizing controller (GLC) have been used for temperature control. An estimator, which has the structure of an extended Kalman filter (EKF), is used for estimating monomer conversion and average molecular weights of polymer using reactor temperature measurements. The performance of proposed control algorithm is evaluated through simulation and experimental studies. The results indicate that a constant average molecular weight cannot be achieved in case of strong gel effect. However, the polydispersity of product will be lower in comparison to isothermal operation. It is also shown that in case of model mismatch, the performance of cascade control is superior compared to the case where only reactor temperature is controlled based on desired temperature trajectory obtained through cascade strategy.

Optimal Temperature Control in a Batch Polymerization Reactor Using Deadbeat Control

Eskişehir technical university journal of science and technology a- applied sciences and engineering, 2019

In this study, Deadbeat control of a jacketed batch reactor in which styrene polymerization occurs under isothermal conditions has been investigated experimentally and by simulation to achieve a specific constant number average chain length and conversion in a minimum time. It was founded that Deadbeat control provided a good performance in maintaining the reactor temperature at its set point at the isothermal conditions. It is obtained that desired final conversion and number average chain length values were almost achieved.

APPLICATION OF MODEL PREDICTIVE CONTROL TO BATCH POLYMERIZATION REACTOR

The absence of a stable operational state in polymerization reactors that operates in batches is factor that determine the need of a special control system. In this study, advanced control methodology is implemented for controlling the operation of a batch polymerization reactor for polystyrene production utilizing model predictive control. By utilizing a model of the polymerization process, the necessary operational conditions were determined for producing the polymer within the desired characteristics. The main control objective is to bring the reactor temperature to its target temperature as rapidly as possible with minimal temperature overshoot. Control performance for the proposed method is encouraging. It has been observed that temperature overshoot can be minimized by the proposed method with the use of both reactor and jacket energy balance for reactor temperature control.

Computer optimal control of batch polymerization reactors

Industrial & Engineering Chemistry Research, 1987

This paper presents a theoretical and experimental analysis of the open-and closed-loop optimal control of a batch reactor for the solution polymerization of methyl methacrylate. A novel experimental reactor system with facilities for on-line measurements of polymer quality is employed to verify the theoretical results. A process control computer is used for on-line data acquisition and

Realization of online optimizing control in an industrial semi-batch polymerization

Journal of Process Control, 2014

In this work, the realization of an online optimizing control scheme for an industrial semi-batch polymerization reactor is discussed in detail. The goal of the work is the automatic minimization of the duration of the batch without violating the tight constraints for the product specification which translate into stringent temperature control requirements for a highly exothermic reaction. Crucial factors for a successful industrial implementation of the control scheme are the development and the validation of a process model that is suitable for process optimization purposes and the estimation of unmeasured process states and the online compensation of model uncertainties. Two implementations are proposed, a direct online optimizing control scheme and a simplified scheme that combines a model-predictive temperature controller and a monomer feed controller that steers the cooling power to a predefined value in a cascaded fashion. We show by simulation results with a validated process model that both schemes achieve the goals of tight temperature control and reduction of the batch time. The performance of the NMPC controller is superior, on the other hand the cascaded scheme could be directly implemented into the DCS of the plant and is in daily operation while the online optimizing scheme requires an additional computer and is currently in the test phase.

Nonlinear Control Reactor: an of a Batch Polymerization Experimental Study

1992

This work studies the experimental application of the globally linearizing control (GLC) method to a batch polymerization reactor. The nonlinear controller is implemented on a microcomputer to start up the reactor and then track a precalculated optimal temperature profile. The reactor temperature is controlled by manipulating two coordinated inputs: power to an electrical heat and cooling water flow rate. A reduced-order observer is used to estimate the concentration of initiator and monomer. Systematic tuning guidelines are proposed for the nonlinear control method. The experimental results show the excellent servo and regulatory performance of the nonlinear controller in the presence of modeling and observer initialization errors and active manipulated input constraints. Furthermore, in comparison to a conventional PID controller, the performance of the nonlinear controller is significantly superior, and its tuning is much easier. Dynamics of the control elements The dynamics of the control elements (the control valve, the RTD's, the control valve pressure transducer, and the heater)