BP Neural Network PID Control of Stable Platform

Hesong Xia, Jie Ma

2019

Abstract

Stable platform has been widely used in modern weapons and civil equipment due to its ability to isolate carrier interference, and research on key technologies for stable platforms has very important practical significance and application value. In this paper, the three-axis stabilized platform is taken as the research object. A control system based on multi-loop control structure is designed around the mathematical model of DC torque motor. The design and implementation of servo control system are carried out by using classical PID and BP neural network PID control algorithm respectively. The BP neural network PID control algorithm is verified by MATLAB simulation. Compared with classical PID control algorithm, it has higher control precision and anti-interference ability.

Paper Citation

in Harvard Style

Xia H. and Ma J. (2019). BP Neural Network PID Control of Stable Platform.In Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE, ISBN 978-989-758-412-1, pages 323-328. DOI: 10.5220/0008387703230328

in Bibtex Style

@conference{icvmee19,
author={Hesong Xia and Jie Ma},
title={BP Neural Network PID Control of Stable Platform},
booktitle={Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE,},
year={2019},
pages={323-328},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008387703230328},
isbn={978-989-758-412-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE,
TI - BP Neural Network PID Control of Stable Platform
SN - 978-989-758-412-1
AU - Xia H.
AU - Ma J.
PY - 2019
SP - 323
EP - 328
DO - 10.5220/0008387703230328