Error Compensation for Delta Robot Based on Improved PSO-GA-BP Algorithm

Error Compensation for Delta Robot Based on Improved PSO-GA-BP Algorithm

Aiming to address the problem of accuracy degradation in Delta robots caused by machining accuracy, assembly precision, etc., this paper corrects the robot’s driving angles to achieve error compensation and designs a compensation algorithm based on particle swarm optimization (PSO) and BP neural net...

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Bibliographic Details
Main Authors: Kaiwen Yang, Zhan Pan, Linlin Zheng, Qinwen Li, Deyong Shang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Mathematics
Subjects:
Delta robots
error compensation
particle swarm optimization
genetic algorithms
neural network
Online Access:https://www.mdpi.com/2227-7390/13/13/2118
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