Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Modeling a multivariable reactor and on-line model predictive control.

D W Yu1, D L Yu

  • 1Automation Department, Northeast University in Qinhuangdao, China.

ISA Transactions
|November 22, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[Whole-course management strategies for gastroesophageal reflux disease: an evidence mapping study based on clinical practice guidelines].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery·2023
Same author

Visible imaging system with changeable field of view on the HL-2A tokamak.

The Review of scientific instruments·2022
Same author

[Clinical analysis of pulmonary sequestration with torsion in 4 cases and literature review].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases·2021
Same author

Visible wide-angle view imaging system for the first plasma on the HL-2M tokamak.

Applied optics·2021
Same author

Fast charge exchange recombination spectroscopy on HuanLiu-2A tokamak.

The Review of scientific instruments·2020
Same author

[One case report of tonsil metastatic cutaneous achromatic melanoma].

Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery·2019
Same journal

Composite fault-tolerant predictive control strategy for PMSM demagnetization faults.

ISA transactions·2026
Same journal

Bias-compensated Q-learning for optimal tracking control under denial-of-service attacks.

ISA transactions·2026
Same journal

Motion prediction for leader manipulator of teleoperation system with large time delay based on inverse optimal control.

ISA transactions·2026
Same journal

Neural network parameter identification-based prescribed-time adaptive control for morphing glide aircraft.

ISA transactions·2026
Same journal

Nonlinear system-guided continuous-time generalization for cross-aircraft engine state monitoring.

ISA transactions·2026
Same journal

Predefined-time distributed optimal formation control for constrained UAV-UGV systems.

ISA transactions·2026
See all related articles

A new nonlinear model predictive control (MPC) system effectively manages a complex chemical reactor. This advanced control strategy outperforms traditional PID controllers, demonstrating superior performance in biochemical process applications.

Area of Science:

  • Chemical Engineering
  • Control Systems
  • Biochemical Engineering

Background:

  • Multivariable chemical reactors present complex nonlinear dynamics.
  • Accurate modeling and control are crucial for biochemical industry pilot systems.
  • Decentralized PID controllers often struggle with multivariable nonlinear systems.

Purpose of the Study:

  • To develop a nonlinear first-principle model for a laboratory-scaled multivariable chemical reactor.
  • To implement an online nonlinear model predictive control (MPC) strategy for the reactor.
  • To compare the performance of the nonlinear MPC against decentralized PID controllers.

Main Methods:

  • A nonlinear discrete-time model was derived for temperature, pH, and dissolved oxygen.
  • Model parameters were estimated using adaptive optimization methods.

Related Experiment Videos

  • An extended Kalman filter was employed for state estimation within the nonlinear MPC framework.

    • Main Results:

    • The nonlinear MPC achieved accurate multistep-ahead predictions.
    • Satisfactory tracking performance was observed during online implementation.
    • The nonlinear MPC demonstrated clear advantages over decentralized PID controllers.

    Conclusions:

    • The developed nonlinear first-principle model is suitable for controlling multivariable chemical reactors.
    • Nonlinear MPC offers superior performance compared to PID control for this application.
    • The study highlights the potential of advanced control strategies in the biochemical industry.