Open AccessDesign and Implementation of Embedded Intelligent Control System Software Programming Based on Genetic Algorithms
Author(s) -
Fenglin Xu
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1345/5/052083
Subject(s) - debugging , computer science , modular design , software , genetic programming , controller (irrigation) , adaptation (eye) , coding (social sciences) , embedded system , programming language , artificial intelligence , statistics , physics , mathematics , optics , agronomy , biology
Embedded system has been widely used in the fields of production, life and automatic control with its superior performance since it was developed, and it is developing towards a more convenient and intelligent direction. Because of the limited target machine resources of embedded system, it is impossible to build a huge and complex development environment on it, so its development environment and target operating environment are separated from each other. The application program is downloaded to the target machine for cross-debugging. After debugging, the application program is downloaded to the target machine for cross-debugging and debugging. The intelligent control is used to generate the change value of the controller parameters, so that the parameters of the controller are adaptive and robust. Through the modular design idea, the modules are relatively independent, which is convenient for software programming and debugging. In genetic algorithms, after coding to form the initial population, the task of genetic manipulation is to impose certain operations on the individual’s fitness assessment according to their degree of adaptation to the environment.