Analysis and System Simulation of Flight Vehicle Sliding Mode Control Algorithm Based on PID Neural Network

被引：0

作者：

Zhang, Shenao ^{[1
]}

Liu, Xiangdong ^{[1
]}

Sheng, Yongzhi ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Automat, Beijing, Peoples R China

来源：

LECTURE NOTES IN REAL-TIME INTELLIGENT SYSTEMS (RTIS 2016) | 2018年 / 613卷

关键词：

PID; Neural network; Sliding mode control algorithm; TRAJECTORY TRACKING;

D O I：

10.1007/978-3-319-60744-3_33

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In recent years, the unmanned aerial vehicle has been widely concerned because of its simple structure, high flexibility and other advantages, and it is of important application value. Based on the current research achievements and related theories, a flight control algorithm based on the PID neural network is designed, and the feasibility of the algorithm is verified by simulation experiment. Experiments show that the controller on a basis of the new algorithm actually has excellent performance on the attitude and position control. It can be used to control the aircraft system in general and get better control effect.

引用

页码：312 / 318

页数：7

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