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

PD Controller: Design

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,...

PI Controller: Design

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...

You might also read

Related Articles

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

Sort by

Same journal

Parametric Modeling of Cochlear Electrode Arrays Using Design of Experiments and Finite Element Analysis (FEA).

Applied bionics and biomechanics·2026

Same journal

Mathematical Model Construction of the Bionic Irregular Surface of Turtle Shell.

Applied bionics and biomechanics·2026

Same journal

Finite Element Analysis on the Effect of Activation Time on Cervical Spine Biomechanical Response During Pilot Ejection.

Applied bionics and biomechanics·2026

Same journal

Locomotion Decoding (<i>LocoD</i>): An Open-Source and Modular Platform for Researching Control Algorithms for Lower Limb Assistive Devices.

Applied bionics and biomechanics·2026

Same journal

Research on the Coupled Bionic Design and Validation of Flying Car Folding Wings Based on Eurasian Eagle-Owl Wing Shape.

Applied bionics and biomechanics·2025

Same journal

Continuous Relative Phase Angle and Variability: A Crossover Analysis of Duration and Surface Effects While Long-Distance Running Over Treadmill and Over-Ground Running.

Applied bionics and biomechanics·2025

See all related articles

Search research articles

Related Experiment Video

Updated: Sep 22, 2025

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Wearable Power Assistant Robot Sensor Signal Prediction Algorithm and Controller Design.

Gang Li¹, Guoheng Ren¹

¹School of Network Engineering, Zhoukou Normal University, Zhoukou, 466001 Henan, China.

Applied Bionics and Biomechanics

|May 24, 2022

Summary

This summary is machine-generated.

This study introduces an online prediction algorithm to enhance the dynamic response frequency of wearable power-assisted robots. This improves real-time performance for rehabilitation exoskeletons, aiding lower limb movement capabilities.

More Related Videos

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

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

Published on: October 14, 2017

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

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

Related Experiment Videos

Last Updated: Sep 22, 2025

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

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

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

Published on: October 14, 2017

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

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

Area of Science:

Robotics
Biomedical Engineering
Control Systems

Background:

Wearable power-assisted robots, or rehabilitation exoskeletons, augment lower limb movement.
Existing systems face challenges in dynamic response frequency, impacting real-time performance.
Perception systems are crucial for obtaining human motion intention.

Purpose of the Study:

To improve the dynamic response frequency of wearable robotic perception systems.
To develop an online prediction algorithm for sensor signals.
To ensure the real-time performance of auxiliary rehabilitation robots.

Main Methods:

Proposed a sensor signal prediction algorithm based on time series analysis.
Developed a hybrid software-hardware system for algorithm implementation (lower and upper computer).
Designed a DC servo motor embedded motion controller for the control system.

Main Results:

The online prediction algorithm enables single-step or multi-step prediction with accuracy.
The dynamic response frequency of the sensing system is significantly increased.
The developed embedded motion controller is compact, lightweight, and expandable.

Conclusions:

The sensor signal prediction algorithm enhances the real-time capabilities of wearable power-assisted robots.
The integrated software and hardware system effectively implements the prediction algorithm.
The embedded motion controller provides a robust foundation for advanced control in rehabilitation robotics.