Experimental Comparative Analysis between IMC and Smith-Predictor on a Two-Tank Level Control

This study presents a comprehensive comparative analysis between two prominent control methods, namely, Internal Model Control (IMC) and Smith Predictor (SP), specifically tailored for managing large time-delayed integrating processes. The investigation delves into the theoretical underpinnings and practical implications of these approaches within the realm of process control. Through rigorous experimentation and validation, the study assesses their efficacy, robustness, and performance in real-world scenarios, aiming to elucidate their strengths, limitations, and suitability for addressing substantial time delays in industrial processes. The findings derived from this comparative study offer valuable insights and recommendations, empowering practitioners and researchers to make informed decisions regarding the control strategy for large time-delayed systems.

Authors

Institutions

Publication Details

Published
2025-07-04
DOI
https://doi.org/10.1109/ne-iecce64154.2025.11183069
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experimental Comparative Analysis between IMC and Smith-Predictor on a Two-Tank Level Control

Dipjyoti Das, G. Lloyds Raja, Sudipta Chakraborty
Advanced Control Systems Optimization
article

Experimental Comparative Analysis between IMC and Smith-Predictor on a Two-Tank Level Control

Dipjyoti Das, G. Lloyds Raja, Sudipta Chakraborty
article en

Abstract

This study presents a comprehensive comparative analysis between two prominent control methods, namely, Internal Model Control (IMC) and Smith Predictor (SP), specifically tailored for managing large time-delayed integrating processes. The investigation delves into the theoretical underpinnings and practical implications of these approaches within the realm of process control. Through rigorous experimentation and validation, the study assesses their efficacy, robustness, and performance in real-world scenarios, aiming to elucidate their strengths, limitations, and suitability for addressing substantial time delays in industrial processes. The findings derived from this comparative study offer valuable insights and recommendations, empowering practitioners and researchers to make informed decisions regarding the control strategy for large time-delayed systems.

National Institute of Technology Patna (IN), National Institute Of Technology Silchar (IN)
Openalex Percentile: Top 64%
Advanced Control Systems Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.