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Model-Free Predictive Control for Nonlinear Processes with Variable Delay

  • University of Oklahoma

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a Model-Free Predictive Control (MFPC) strategy for regulating a nonlinear mixing tank process with time-varying delay. Unlike traditional Model Predictive Control (MPC), MFPC eliminates the need for an explicit system model by leveraging an ultra-local model and real-time optimization. The approach dynamically compensates for disturbances, delays, and setpoint changes while adhering to operational constraints. Simulation results demonstrate that MFPC outperforms conventional PID and intelligent PID (iPID) controllers, achieving superior performance metrics such as reduced overshoot, smoother control actions, and lower RMSE, IAE, and ITAE values. Notably, MFPC avoids the oscillatory behavior and actuator stress observed in PID-based methods, proving its effectiveness for nonlinear processes with variable delay.

Original languageEnglish
Title of host publication2025 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2025
EditorsGaston Lefranc, Claudio Cubillos
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350357363
DOIs
StatePublished - 2025
Event2025 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2025 - Valparaiso, Chile
Duration: 28 Oct 202530 Oct 2025

Publication series

NameProceedings - IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, ChileCon
ISSN (Print)2832-1529
ISSN (Electronic)2832-1537

Conference

Conference2025 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2025
Country/TerritoryChile
CityValparaiso
Period28/10/2530/10/25

Keywords

  • Model predictive control
  • Model-free control
  • nonlinear processes
  • ultra-local model
  • variable delay

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