兵工自动化2017，Vol.36Issue(3)：40-44,5.DOI:10.7690/bgzdh.2017.03.011
基于SA-GA-BP的某爆破扫雷器电液伺服系统建模
Modeling of Electro-hydraulic Servo System of Certain Type Demolition Mine
Sweeper Based on SA-GA-BP
李明洲 1陈机林 1刘超 1姚松坡 1汪辉1
作者信息
- 1. 南京理工大学机械工程学院,南京 210094
- 折叠
摘要
Abstract
In order to solve the difficult problem to establish an accurate model of hydraulic components of electro-hydraulic servo system because of uncertainties characteristics of non-linear and time-varying, a modeling method of optimized BP neural network based on simulated annealing genetic algorithm (SA-GA) is presented. The sudden-jump probability of simulated annealing algorithm is utilized to overcome prematurity phenomenon of genetic algorithm, and use the global optimization search capability of simulated annealing genetic algorithm to optimize the initial weights and thresholds of BP neural network. Taking the electro-hydraulic servo system of a certain type demolition mine sweeper as example, use the proposed method to carry out system offline identification. The results of simulation showed that the method which based on SA-GA-BP neural network modeling can effectively fit non-linear and time-varying characteristics of the system and the proposed method is effectively.关键词
电液伺服系统/模拟退火遗传算法/BP神经网络/建模Key words
electro-hydraulic system/simulated annealing genetic algorithm/BP neural-network/modeling分类
军事科技引用本文复制引用
李明洲,陈机林,刘超,姚松坡,汪辉..基于SA-GA-BP的某爆破扫雷器电液伺服系统建模[J].兵工自动化,2017,36(3):40-44,5.
