Numerical simulation and parameter optimization design method and system for hydraulic system

• Main Authors: HU YUANHUI, ZHANG LEI, TANG JING, WANG CHENWEI, TIAN JI, TONG PENG, TIAN YI, SHU WEN, LIN WEILIANG, JIANG JIAWEI, HUANG XUPENG, XIAO YUJUN
• Format: Patent
• Language: Chinese; English
• Published: 26.07.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention discloses a hydraulic system numerical simulation and parameter optimization design method and system, and relates to the technical field of hydraulic system parameter optimizing.The hydraulic system numerical simulation and parameter optimization design method comprises the steps that working data of a hydraulic system are collected, and a numerical simulation model based on deep learning is constructed; constructing an agent model of the hydraulic system by using Gaussian process regression, and executing an efficient global optimization algorithm on the agent model; and reinforcement learning is used to automatically adjust simulation engine parameters, and the topological structure of the hydraulic system is optimized based on an evolutionary strategy. According to the method, a numerical simulation model based on deep learning is constructed, high-quality data collected from an experimental platform is utilized to train deep neural network models such as a long-term and short-term memory ne