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

PI Controller: Design01:24

PI Controller: Design

967
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...
967
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

281
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.
Consider the example of control of motor torque. Initially, a positive...
281
PID Controller01:19

PID Controller

493
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...
493
PD Controller: Design01:26

PD Controller: Design

503
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,...
503
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

315
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...
315
Controller Configurations01:22

Controller Configurations

269
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...
269

You might also read

Related Articles

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

Sort by
Same author

The Development of a Syringe-Based Insulin Applicator Using a Biodesign-Based Methodology.

Biomimetics (Basel, Switzerland)·2026
Same author

Amblyopia in 2026: A State-of-the-Art Review of Multidimensional Phenotyping, Response Heterogeneity, and Clinical Considerations.

Brain sciences·2026
Same author

Purification, Structural Characterization, and Antibacterial Evaluation of Poly-γ-Glutamic Acid from <i>Bacillus subtilis</i>.

Polymers·2026
Same author

Cone-Specific Filter-Based Neuromodulation: A Proposed Clinical Framework for Amblyopia, Strabismus, and ADHD.

Clinics and practice·2026
Same author

Sensory-Cognitive Profiles in Children with ADHD: Exploring Perceptual-Motor, Auditory, and Oculomotor Function.

Bioengineering (Basel, Switzerland)·2025
Same author

The Integration of Artificial Intelligence with Micro-Nano-Systems: Perspectives, Challenges and Future Prospects.

Micromachines·2025
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
Same journal

Three-Dimensional Modeling and Performance Analysis of Dynamic mmWave V2I Networks Based on Stochastic Geometry.

Sensors (Basel, Switzerland)·2026
See all related articles
  1. Home
  3. A Pid-type Fuzzy Logic Controller-based Approach For Motion Control Applications.
  1. Home
  3. A Pid-type Fuzzy Logic Controller-based Approach For Motion Control Applications.

Related Experiment Video

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

12.0K

A PID-Type Fuzzy Logic Controller-Based Approach for Motion Control Applications.

José R García-Martínez1, Edson E Cruz-Miguel1, Roberto V Carrillo-Serrano1

  • 1Facultad de Ingeniería, Universidad Autónoma de Querétaro, Querétaro 76010, Mexico.

Sensors (Basel, Switzerland)
|September 22, 2020

View abstract on PubMed

Summary
This summary is machine-generated.

A novel fuzzy logic controller (FLC) strategy tunes Proportional-Integral-Derivative (PID) constants for enhanced motion control. This self-tuning controller improves system performance, reducing steady error and energy consumption in industrial applications.

Keywords:
PID controllerS-curve motion profileapplied artificial intelligencefuzzy controlrobot

More Related Videos

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

14.1K
Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

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

Published on: October 28, 2022

2.0K

Related Experiment 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

12.0K
An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

14.1K
Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

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

Published on: October 28, 2022

2.0K

Area of Science:

  • Robotics and Automation
  • Control Systems Engineering
  • Artificial Intelligence in Engineering

Background:

  • Industrial machinery, robots, and conveyor belts require precise motion control for efficiency.
  • Traditional Proportional-Integral-Derivative (PID) controllers face challenges in optimizing steady error and energy consumption.
  • Existing motion control strategies often lack adaptability to dynamic system variations.

Purpose of the Study:

  • To introduce a new Proportional-Integral-Derivative (PID)-type fuzzy logic controller (FLC) tuning strategy.
  • To compute PID constants using direct fuzzy relations for improved motion control.
  • To develop a self-tuning controller adaptable to real-time system variations.

Main Methods:

  • A novel PID-type FLC tuning strategy based on direct fuzzy relations was developed.
  • The motion control algorithm integrates the PID-type FLC with an S-curve velocity profile.
  • The controller was implemented in C/C++ for embedded systems and tested on a DC motor linear platform.

    • Main Results:

    • The self-tuning controller operates online, adapting to system variations based on error and change in error.
    • Experimental results on a DC motor linear platform showed a rise time of 0.124 s, overshoot of 8.985%, and settling time of 0.248 s.
    • Performance metrics demonstrate significant improvements in rise time and settling time compared to state-of-the-art control architectures.

    Conclusions:

    • The proposed PID-type FLC tuning strategy effectively computes PID constants for enhanced motion control.
    • The self-tuning controller offers improved performance, particularly in reducing rise and settling times.
    • The developed algorithm provides a license-free, adaptable solution for motion control in industrial and embedded systems.