Comparative study of different modelling strategies for the dynamic design of cumene reactor in cumene production process

Cumene is used as precursor for production of many organic chemicals and as thinner in paints & lacquers. Its production process involves one of the large-scale manufacturing processes with complex kinetics. Different classical control strategies have been implemented and compared for the cumene reactor in this process. As a system with large degrees of freedom a novel approach for extracting the state space model from the COMSOL Multiphysics implementation of the system is adopted here. Internal Modern Control (IMC) based PI and PID controllers are derived for the system. To derive the controller setting the system is reduced to the FOPDT and SOPDT model structure using Skogestad half rules. The integral time is modified to obtain the excellent set point tracking and faster disturbance rejection. From the analysis it can be stated that PI controller suits more for this specific process. Particle Swarm Optimization (PSO) algorithm, an evolutionary computation technique is also used to tune the PI settings. The PI controllers with IMC, Zeigler Nichols and PSO tuning are compared and it can be concluded that PSO PI controller settles at 45s without any oscillations and settles down faster for the disturbance of magnitude 0.5 applied at t=800s, through it is computationally intensive compared to other controller strategies.

show abstract

Internal model control of cumene process using analytical rules and evolutionary computation

Lakshmanan

Kallingal

Sreekumar

2024

CI&CEQ

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Comparative study of different modelling strategies for the dynamic design of cumene reactor in cumene production process

Cited by 1 publication

References 16 publications

Internal model control of cumene process using analytical rules and evolutionary computation

Internal model control of cumene process using analytical rules and evolutionary computation

Contact Info

Product

Resources

About