Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Controller Configurations01:22

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 aligns...
PD Controller: Design01:26

PD Controller: Design

In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
Time and frequency -Domain Interpretation of PI Control01:27

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 careful...
PI Controller: Design01:24

PI Controller: Design

Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
Phase-lead and Phase-lag Controllers01:22

Phase-lead and Phase-lag Controllers

Understanding the working function of different types of controllers can be illustrated with practical analogies, such as adjusting a stereo's volume equalizer. Cranking up the bass involves a phase-lead controller, which functions as a high-pass filter, while increasing the treble uses a phase-lag controller, which acts as a low-pass filter. PD controllers, similar to high-pass filters, enhance the system's response to high-frequency components. PI controllers, akin to low-pass filters, manage...
Time and frequency -Domain Interpretation of Phase-lead Control01:24

Time and frequency -Domain Interpretation of Phase-lead Control

Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...

You might also read

Related Articles

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

Sort by
Same author

COVID-19 and human development: An approach for classification of HDI with deep CNN.

Biomedical signal processing and control·2022
Same author

2DOF multi-objective optimal tuning of disturbance reject fractional order PIDA controllers according to improved consensus oriented random search method.

Journal of advanced research·2020
Same author

Reference-shaping adaptive control by using gradient descent optimizers.

PloS one·2017
Same author

Linear systems with unstructured multiplicative uncertainty: Modeling and robust stability analysis.

PloS one·2017
Same author

An integer order approximation method based on stability boundary locus for fractional order derivative/integrator operators.

ISA transactions·2016
Same author

Optimal fractional order PID design via Tabu Search based algorithm.

ISA transactions·2015

Related Experiment Video

Updated: Jun 2, 2026

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

Classical controller design techniques for fractional order case.

Celaleddin Yeroglu1, Nusret Tan

  • 1Computer Engineering Department, Inonu University, Malatya, 44280, Turkey. cyeroglu@inonu.edu.tr

ISA Transactions
|April 19, 2011
PubMed
Summary

This study introduces new robust controller design methods for fractional-order systems. These techniques ensure robust performance for interval plants, enhancing control system stability and reliability.

More Related Videos

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Related Experiment Videos

Last Updated: Jun 2, 2026

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Area of Science:

  • Control Systems Engineering
  • Applied Mathematics

Background:

  • Fractional-order systems present unique challenges in classical controller design.
  • Robust performance is crucial for control systems operating with uncertain parameters.

Purpose of the Study:

  • To propose novel robust controller design methods for fractional-order interval transfer functions (FOITFs).
  • To ensure robust performance specifications are met for fractional-order interval plants.
  • To develop a classical PID controller design technique using fractional-order reference models.

Main Methods:

  • Utilizing classical design methods with Bode envelopes of FOITFs for lag, lag-lead, and PI controllers.
  • Employing an optimization technique based on a fractional-order reference model for PID controller design.
  • Applying the least squares optimization method to obtain PID controller parameters.

Main Results:

  • Successfully designed robust lag, lag-lead, and PI controllers for FOITFs.
  • Demonstrated that the proposed controllers meet robust performance specifications for fractional-order interval plants.
  • Obtained multiple stable PID controller parameter sets for the same plant using the optimization method.

Conclusions:

  • The proposed classical controller design techniques are effective for fractional-order interval systems.
  • The methods ensure robust performance and stability in the presence of plant uncertainty.
  • The optimization approach provides a viable way to design stable PID controllers for fractional-order plants.