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

Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

313
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
313
PD Controller: Design01:26

PD Controller: Design

210
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,...
210
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

149
In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
149
Transmission Shafts: Problem Solving01:09

Transmission Shafts: Problem Solving

219
Designing a solid shaft that transmits power from a motor to a machine tool involves a series of calculations to ensure the shaft can withstand the stresses applied by bending moments and torques. First, calculate the torque exerted on the gear, considering the power transmitted by the shaft and its rotational speed. Following this, compute the tangential forces acting on the gears, which directly relate to the torque and the gear radius.
Next, use bending moment diagrams for the shaft to...
219
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

394
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
394
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

478
In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
478

You might also read

Related Articles

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

Sort by
Same author

Evaluation of 3D Vulnerable Objects' Detection Using a Multi-Sensors System for Autonomous Vehicles.

Sensors (Basel, Switzerland)·2022
Same author

Ambient Healthcare Approach with Hybrid Whale Optimization Algorithm and Naïve Bayes Classifier.

Sensors (Basel, Switzerland)·2021
Same author

Adjustable Compliance Soft Sensor via an Elastically Inflatable Fluidic Dome.

Sensors (Basel, Switzerland)·2021
Same author

Design and Evaluation of Magnetic Hall Effect Tactile Sensors for Use in Sensorized Splints.

Sensors (Basel, Switzerland)·2020

Related Experiment Video

Updated: Jun 18, 2025

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

11.6K

Optimizing the Steering of Driverless Personal Mobility Pods with a Novel Differential Harris Hawks Optimization

Mohamed Reda1,2, Ahmed Onsy1, Amira Y Haikal2

  • 1School of Engineering, University of Central Lancashire, Preston PR1 2HE, UK.

Sensors (Basel, Switzerland)
|July 27, 2024
PubMed
Summary

A new Differential Harris Hawks Optimization (DHHO) algorithm enhances steering control for Ackermann mobility scooters. This method significantly improves response time and accuracy in automated driving systems.

Keywords:
Ackermann steeringCEC2020 benchmarkHarris Hawks optimizationdriverless podelectric power steeringsteering angle encodersteering controltransient response

More Related Videos

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

4.9K
Dorsal Column Steerability with Dual Parallel Leads using Dedicated Power Sources: A Computational Model
11:19

Dorsal Column Steerability with Dual Parallel Leads using Dedicated Power Sources: A Computational Model

Published on: February 10, 2011

11.9K

Related Experiment Videos

Last Updated: Jun 18, 2025

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

11.6K
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

4.9K
Dorsal Column Steerability with Dual Parallel Leads using Dedicated Power Sources: A Computational Model
11:19

Dorsal Column Steerability with Dual Parallel Leads using Dedicated Power Sources: A Computational Model

Published on: February 10, 2011

11.9K

Area of Science:

  • Robotics and Control Systems
  • Artificial Intelligence
  • Optimization Algorithms

Background:

  • Steering performance is critical for automated driving systems (ADS), particularly in localization and path planning.
  • Meta-heuristic optimization algorithms have shown promise in steering control applications.
  • The Harris Hawks Optimization (HHO) algorithm is effective but has not been applied to steering control.

Purpose of the Study:

  • To improve the steering performance of Ackermann personal mobility scooters.
  • To introduce a novel meta-heuristic optimization algorithm, Differential Harris Hawks Optimization (DHHO).
  • To model the steering encoder for enhanced control.

Main Methods:

  • Supervised learning was used to model steering encoder sensor data from practical experiments.
  • The DHHO algorithm was developed by incorporating mutation into the HHO exploration phase to enhance diversity.
  • DHHO was implemented for real-time PID tuning to control scooter steering.

Main Results:

  • DHHO demonstrated superior performance over HHO, PSO, BAS, and CMAES on CEC2021 benchmark functions.
  • DHHO achieved significant error reduction compared to HHO in 10 and 20-dimension problems.
  • Practical tests showed an 89.31% improvement in settling time for scooter steering, with no overshoot or steady-state error.

Conclusions:

  • The DHHO algorithm offers a significant advancement in steering control for mobility scooters.
  • DHHO provides a robust and efficient method for optimizing automated driving system performance.
  • The proposed DHHO algorithm outperforms traditional control methods, demonstrating its practical applicability.