Computer control software design model based on particle swarm optimization and PID algorithm

DOI

10.2991/fmsmt-17.2017.275How to use a DOI?

Keywords

computer control; Particle Swarm; software design;

Abstract

The optimal design for computer control software is studied. Since computer control software is susceptible to interference during the control process, a computer control software design model based on improved PID algorithm is proposed. The PID algorithm is combined with particle swarm algorithm to calculate PID control parameters, which is viewed as evolutionary particles of the particle population, and given a certain flight speed in the search space, the speed of the particles will be adjusted iteratively and dynamically in accordance with the experience of population's evolution calculation, in order to achieve computer control software design. The simulation results show that the proposed algorithm applied for computer control software design, can improve the control precision and meet the actual needs of computer control.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xinjie Qian
AU  - Guixiang Hu
AU  - Qiulin Fu
AU  - Bo Yang
PY  - 2017/04
DA  - 2017/04
TI  - Computer control software design model based on particle swarm optimization and PID algorithm
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 1413
EP  - 1416
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.275
DO  - 10.2991/fmsmt-17.2017.275
ID  - Qian2017/04
ER  -