Research on Fuzzy PID Compliant Grinding Control Based on DBO Algorithm Optimization

In order to achieve the requirements of high precision, fast response and low overshoot in the robot grinding process. An active compliant actuator at the end of the robot is designed, and a fuzzy PID constant force control method based on dung beetle optimizer (DBO) optimization is proposed. The force and gas flow model of the compliant actuator are analyzed, and the mathematical model of the actuator is established. On the basis of fuzzy PID algorithm, the fuzzy PID parameters optimized by DBO algorithm are adopted. The simulation system model is established by MATLAB, and the performance of PID control, fuzzy PID control and fuzzy PID control method optimized by DBO algorithm is compared. The simulation results show that the fuzzy PID control based on DBO algorithm has faster response speed, reaches stability in 0.5s, no overshoot, and the system is more stable.

Authors

Publication Details

Journal
Frontiers in Science and Engineering
Published
2024-11-24
DOI
https://doi.org/10.54691/4n56ej69
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on Fuzzy PID Compliant Grinding Control Based on DBO Algorithm Optimization

Wenguo Huo, Wei Wei
Frontiers in Science and Engineering
Advanced machining processes and optimization
article

Research on Fuzzy PID Compliant Grinding Control Based on DBO Algorithm Optimization

Wenguo Huo, Wei Wei
article en

Abstract

In order to achieve the requirements of high precision, fast response and low overshoot in the robot grinding process. An active compliant actuator at the end of the robot is designed, and a fuzzy PID constant force control method based on dung beetle optimizer (DBO) optimization is proposed. The force and gas flow model of the compliant actuator are analyzed, and the mathematical model of the actuator is established. On the basis of fuzzy PID algorithm, the fuzzy PID parameters optimized by DBO algorithm are adopted. The simulation system model is established by MATLAB, and the performance of PID control, fuzzy PID control and fuzzy PID control method optimized by DBO algorithm is compared. The simulation results show that the fuzzy PID control based on DBO algorithm has faster response speed, reaches stability in 0.5s, no overshoot, and the system is more stable.

Frontiers in Science and EngineeringVol. 4(11)
Openalex Percentile: Top 79%
Advanced machining processes and optimization
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.