Work

Optimizing power consumption and position control in an electro-hydraulic system with cylinder bypass and NN-MPC

Year: 2024

Type: article

Abstract: This study introduces an innovative approach to enhance the energy efficiency and position control performance of electro-hydraulic systems, employing a comprehensive comparative analysis. It presents and evaluates three control techniques: Proportional-Integral-Derivative (PID) control, Model Predictive Control (MPC), and Neural Network Model Predictive Control (NN-MPC). These methods are systematically assessed across varying load conditions. Notably, our research unequivocally establishes the exceptional performance of the NN-MPC approach, even when confronted with load variations. Furthermore, the study conducts an exhaustive examination of energy consumption by comparing a conventional system, where a flow control valve is not utilized as a hydraulic cylinder bypass, with a proposed system that employs a fully open Flow Control Valve (FCV). The results underscore the remarkable energy savings achieved, reaching up to 9% at high load levels.

Source: Scientific Reports

DOI: 10.1038/s41598-024-51318-x

Authors: Omar Hesham Khedr, Mohammed Ibrahim Awad, Affaf Khamis Al-Oufy, Shady A. Maged

Institutions: Ain Shams University, Galala University, Alexandria University

Language: English

Topic: Hydraulic and Pneumatic Systems

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,590