Analysis and system simulation of flight vehicle sliding mode control algorithm based on PID neural network

Shenao Zhang; Xiangdong Liu; Yongzhi Sheng

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

Analysis and system simulation of flight vehicle sliding mode control algorithm based on PID neural network

Shenao Zhang^*, Xiangdong Liu, Yongzhi Sheng

^*Corresponding author for this work

School of Automation

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	Lecture Notes in Real-Time Intelligent Systems
Editors	Jolanta Mizera-Pietraszko, Pit Pichappan
Publisher	Springer Verlag
Pages	312-318
Number of pages	7
ISBN (Print)	9783319607436
DOIs	https://doi.org/10.1007/978-3-319-60744-3_33
Publication status	Published - 2018
Event	1st International Conference on Real Time Intelligent Systems, RTIS 2016 - Beijing, China Duration: 1 Sept 2016 → 3 Sept 2016

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	613
ISSN (Print)	2194-5357

Conference

Conference	1st International Conference on Real Time Intelligent Systems, RTIS 2016
Country/Territory	China
City	Beijing
Period	1/09/16 → 3/09/16

Keywords

Neural network
PID
Sliding mode control algorithm

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

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Zhang, S., Liu, X., & Sheng, Y. (2018). Analysis and system simulation of flight vehicle sliding mode control algorithm based on PID neural network. In J. Mizera-Pietraszko, & P. Pichappan (Eds.), Lecture Notes in Real-Time Intelligent Systems (pp. 312-318). (Advances in Intelligent Systems and Computing; Vol. 613). Springer Verlag. https://doi.org/10.1007/978-3-319-60744-3_33

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title = "Analysis and system simulation of flight vehicle sliding mode control algorithm based on PID neural network",

abstract = "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.",

keywords = "Neural network, PID, Sliding mode control algorithm",

author = "Shenao Zhang and Xiangdong Liu and Yongzhi Sheng",

note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG.; 1st International Conference on Real Time Intelligent Systems, RTIS 2016 ; Conference date: 01-09-2016 Through 03-09-2016",

year = "2018",

doi = "10.1007/978-3-319-60744-3\_33",

language = "English",

isbn = "9783319607436",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "312--318",

editor = "Jolanta Mizera-Pietraszko and Pit Pichappan",

booktitle = "Lecture Notes in Real-Time Intelligent Systems",

address = "Germany",

}

Zhang, S, Liu, X & Sheng, Y 2018, Analysis and system simulation of flight vehicle sliding mode control algorithm based on PID neural network. in J Mizera-Pietraszko & P Pichappan (eds), Lecture Notes in Real-Time Intelligent Systems. Advances in Intelligent Systems and Computing, vol. 613, Springer Verlag, pp. 312-318, 1st International Conference on Real Time Intelligent Systems, RTIS 2016, Beijing, China, 1/09/16. https://doi.org/10.1007/978-3-319-60744-3_33

Analysis and system simulation of flight vehicle sliding mode control algorithm based on PID neural network. / Zhang, Shenao; Liu, Xiangdong ; Sheng, Yongzhi.
Lecture Notes in Real-Time Intelligent Systems. ed. / Jolanta Mizera-Pietraszko; Pit Pichappan. Springer Verlag, 2018. p. 312-318 (Advances in Intelligent Systems and Computing; Vol. 613).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Zhang, Shenao

AU - Liu, Xiangdong

AU - Sheng, Yongzhi

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Neural network

KW - PID

KW - Sliding mode control algorithm

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

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AN - SCOPUS:85028366157

SN - 9783319607436

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BT - Lecture Notes in Real-Time Intelligent Systems

A2 - Mizera-Pietraszko, Jolanta

A2 - Pichappan, Pit

PB - Springer Verlag

T2 - 1st International Conference on Real Time Intelligent Systems, RTIS 2016

Y2 - 1 September 2016 through 3 September 2016

ER -

Analysis and system simulation of flight vehicle sliding mode control algorithm based on PID neural network

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