Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Control Systems: Applications

Control Systems: Applications

Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...

PID Controller

PID Controller

Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...

Control Systems

Control Systems

Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...

Controller Configurations

Controller Configurations

Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...

Time and frequency -Domain Interpretation of PI Control

Time and frequency -Domain Interpretation of PI Control

Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...

Responses to Heat and Cold Stress

Responses to Heat and Cold Stress

Every organism has an optimum temperature range within which healthy growth and physiological functioning can occur. At the ends of this range, there will be a minimum and maximum temperature that interrupt biological processes.

You might also read

Related Articles

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

Sort by

Same author

A discrete enzyme action optimizer for traveling salesman problems with a smart tourism routing application: a case study in Bitlis, Türkiye.

Scientific reports·2026

Same author

RETRACTED: Srivastava et al. Match-Level Fusion of Finger-Knuckle Print and Iris for Human Identity Validation Using Neuro-Fuzzy Classifier. <i>Sensors</i> 2022, <i>22</i>, 3620.

Sensors (Basel, Switzerland)·2026

Same author

Robust Position-Only Null Steering in Linear Antenna Arrays via a Nature-Inspired Optimizer for Wireless Communication.

Biomimetics (Basel, Switzerland)·2026

Same author

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

Biomimetics (Basel, Switzerland)·2026

Same author

A Biomimetic Gazelle Optimization Approach for Enhanced Temperature Regulation in Electric Furnaces.

Biomimetics (Basel, Switzerland)·2026

Same author

A novel hyperbolic tangent-augmented controller framework for temperature control in jacketed continuous stirred tank reactors.

Scientific reports·2026

Search research articles

Related Experiment Video

Updated: May 15, 2025

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

A new intelligent control strategy for CSTH temperature regulation based on the starfish optimization algorithm.

Davut Izci^1,2,3, Serdar Ekinci⁴, Mostafa Jabari⁵

¹Department of Electrical and Electronics Engineering, Bursa Uludag University, Bursa, 16059, Turkey.

Scientific Reports

|April 10, 2025

Summary

This summary is machine-generated.

This study introduces a new control strategy for temperature regulation in challenging nonlinear systems. The starfish optimization algorithm (SFOA) optimizes a two degrees of freedom-PID acceleration (2DOF-PIDA) controller for improved performance.

Keywords:

Nonlinear continuous stirred-tank heater (CSTH)Starfish optimization algorithm (SFOA)Temperature control of highly nonlinear system Two degrees of freedom-PID acceleration (2DOF-PIDA) controller

More Related Videos

Esophageal Heat Transfer for Patient Temperature Control and Targeted Temperature Management

Esophageal Heat Transfer for Patient Temperature Control and Targeted Temperature Management

Published on: November 21, 2017

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

Related Experiment Videos

Last Updated: May 15, 2025

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

Esophageal Heat Transfer for Patient Temperature Control and Targeted Temperature Management

Esophageal Heat Transfer for Patient Temperature Control and Targeted Temperature Management

Published on: November 21, 2017

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

Area of Science:

Process Control
Artificial Intelligence
Chemical Engineering

Background:

Temperature regulation in nonlinear and dynamic processes like the continuous stirred-tank heater (CSTH) presents significant challenges.
System nonlinearities and external disturbances complicate achieving precise temperature control.

Purpose of the Study:

To propose a novel metaheuristic-driven control strategy for the CSTH process.
To enhance temperature control performance by combining a 2DOF-PIDA controller with the SFOA.

Main Methods:

Utilized a two degrees of freedom-PID acceleration (2DOF-PIDA) controller for decoupled setpoint tracking and disturbance rejection.
Employed the starfish optimization algorithm (SFOA) for optimal tuning of the 2DOF-PIDA controller parameters.
Validated the proposed control strategy through simulations on the CSTH process.

Main Results:

The proposed 2DOF-PIDA controller optimized by SFOA demonstrated superior tracking accuracy.
The strategy showed enhanced disturbance rejection capabilities compared to conventional control methods.
Improved robustness was observed in the temperature regulation of the CSTH process.

Conclusions:

The combination of 2DOF-PIDA and SFOA offers a flexible and efficient solution for controlling highly nonlinear systems.
This approach has significant implications for industrial temperature regulation applications.
The metaheuristic-driven strategy effectively addresses the complexities of CSTH temperature control.