Wild Goat Optimization-Based Robust Controller for a Vehicle Suspension System

This research introduces a PID controller designed for a Vehicle Suspension System (VSS) using the Wild Goat Optimization (WGO) algorithm. The goal is to improve ride comfort by mitigating the impacts caused by uneven and rough roads. The VSS model utilized for designing the WGO-PIDC is a fourth-order system. By integrating the WGO algorithm, the conventional PID controller is enhanced to achieve better control performance. The superior control performance of the WGO-PIDC is confirmed through a comparative analysis with other well-known control methods. The comparative outcomes indicate that the proposed approach is highly effective for maintaining dynamics of the VSF within a steady range, thereby ensuring precision, stability and robustness.

Authors

Publication Details

Published
2024-11-08
DOI
https://doi.org/10.1109/odicon62106.2024.10797584
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Wild Goat Optimization-Based Robust Controller for a Vehicle Suspension System

Abha Mishra, Manoj Kumar Debnath, Girija Sankar Panigrahi, Akshaya Kumar Patra et al.
Vehicle Dynamics and Control Systems
article

Wild Goat Optimization-Based Robust Controller for a Vehicle Suspension System

Abha Mishra, Manoj Kumar Debnath, Girija Sankar Panigrahi, Akshaya Kumar Patra, Narayan Nahak, Anuja Nanda
article en

Abstract

This research introduces a PID controller designed for a Vehicle Suspension System (VSS) using the Wild Goat Optimization (WGO) algorithm. The goal is to improve ride comfort by mitigating the impacts caused by uneven and rough roads. The VSS model utilized for designing the WGO-PIDC is a fourth-order system. By integrating the WGO algorithm, the conventional PID controller is enhanced to achieve better control performance. The superior control performance of the WGO-PIDC is confirmed through a comparative analysis with other well-known control methods. The comparative outcomes indicate that the proposed approach is highly effective for maintaining dynamics of the VSF within a steady range, thereby ensuring precision, stability and robustness.

Openalex Percentile: Top 74%
Vehicle Dynamics and Control Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.