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Related Experiment Video

Updated: May 28, 2026

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

Pressure Control of Centrifugal Fan Using Softsign-PI Controller Tuned by Hybrid Starfish Optimization Algorithm with

Cebrail Turkeri¹, Serdar Ekinci², Davut Izci³

¹Department of Computer Engineering, Batman University, 72100 Batman, Türkiye.

Biomimetics (Basel, Switzerland)

|May 26, 2026

Summary

This summary is machine-generated.

A novel Softsign-PI controller and hybrid optimization (hSFOA-DE) enhance centrifugal fan pressure regulation. This approach improves tracking accuracy and reduces energy losses in fan/pump systems.

Keywords:

Softsign-PI controller centrifugal fan differential evolution starfish optimization algorithm

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A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

Area of Science:

Engineering
Control Systems
Fluid Dynamics

Background:

Induction-motor-driven centrifugal fans require precise pressure regulation for efficiency.
Existing control methods often struggle with nonlinear dynamics and parameter tuning.

Purpose of the Study:

To introduce a Softsign-PI controller combined with a hybrid optimization algorithm (hSFOA-DE) for improved fan pressure control.
To evaluate the proposed controller's performance against various modern and classical control tuning methods.

Main Methods:

Development of a Softsign-PI controller incorporating a Softsign nonlinearity for error shaping.
Implementation of a hybrid starfish optimization with differential evolution (hSFOA-DE) for automatic controller parameter tuning.
Validation on an experimentally validated nonlinear fan-motor model and benchmarking against metaheuristics and classical PID tunings.

Main Results:

The hSFOA-DE tuned Softsign-PI controller demonstrated superior performance in statistical summaries and time-domain metrics.
Achieved faster convergence, reduced run-to-run variability, and improved transient and steady-state behavior.
Exhibited the lowest Zwe-Lee Gaing (ZLG) and integral of absolute error (IAE) values, indicating enhanced robustness and tracking accuracy.

Conclusions:

The proposed Softsign-PI controller with hSFOA-DE offers significant advantages in pressure regulation for centrifugal fans.
The approach leads to reduced overshoot and cumulative error, potentially lowering throttling losses and actuator duty.
Potential benefits include energy savings and reduced maintenance in fan and pump applications.