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Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
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Related Experiment Video

Updated: Oct 13, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

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Published on: October 28, 2022

Data-driven iterative tuning based active disturbance rejection control for FOPTD model.

Zhuo Chen¹, Yong-Sheng Hao¹, Zhi-Gang Su¹

¹The Key Lab of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing, 210096, China.

ISA Transactions

|November 10, 2021

Summary

This summary is machine-generated.

This study introduces a data-driven iterative tuning method for time-delayed Active Disturbance Rejection Control (ADRC). The approach simplifies tuning for systems with unknown parameters, improving control performance and robustness.

Keywords:

Active disturbance rejection control (ADRC)First order plus time delay (FOPDT) model Iterative feedback tuning (IFT)

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Interactive and Visualized Online Experimentation System for Engineering Education and Research

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Published on: November 24, 2021

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Published on: November 24, 2021

Area of Science:

Control Engineering
Systems Science

Background:

Active Disturbance Rejection Control (ADRC) is effective for uncertainties.
Model-based ADRC tuning is challenging with unknown process parameters, especially time delays.

Purpose of the Study:

Propose a data-driven iterative tuning method for time-delayed ADRC (TD-ADRC).
Address difficulties in obtaining accurate process parameters for ADRC tuning.

Main Methods:

Utilize parameter scaling to correlate performance, robustness, and controller parameters.
Employ Iterative Feedback Tuning (IFT) to identify the first-order plus time delay (FOPTD) model.
Develop a data-driven iterative tuning method using empirical relations and IFT stochastic approximation.

Main Results:

The proposed method enables a trade-off between system performance and robustness.
Simulation results demonstrate the method's effectiveness.
A water-tank control experiment shows practical applicability.

Conclusions:

The data-driven iterative tuning method offers an effective solution for TD-ADRC.
The approach simplifies the tuning process for complex systems.
Promising practical applications in control engineering.