A Hierarchical Control Strategy for Antiaircraft Multiple Launch Rocket System

Author

Fan, Yang ; Da-wei, Ma ; Fu-hong, Chen

Author_Institution

Sch. of Mech. Eng., Nanjing Univ. of Sci. & Technol., Nanjing, China

Volume

1

fYear

2011

Firstpage

31

Lastpage

34

Abstract

A novel three-level hierarchical control strategy for antiaircraft multiple launch rocket system (MLRS) is designed in this paper. In this strategy, expert system is used to provide control signals and parameters to adjust controller performance in organization level. And a compound controller including both sliding-mode neural network and compensator is used to guarantee the accuracy and stability of servo systems in real-time control level. Results show that the control strategy can guarantee the dynamic performance of system.

Keywords

aerospace control; aerospace engineering; control engineering computing; control system synthesis; expert systems; hierarchical systems; military computing; military systems; neurocontrollers; rockets; stability; variable structure systems; antiaircraft multiple launch rocket system; compensator; expert system; servo systems; sliding-mode neural network; stability; three-level hierarchical control strategy; Azimuth; Expert systems; Firing; Organizations; Program processors; Real time systems; Servomotors; antiaircraft multiple launch rocket system; compound controller; hierarchical control; servo system; sliding-mode neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2011 International Conference on

Conference_Location

Zhejiang

Print_ISBN

978-1-4577-0676-9

Type

conf

DOI

10.1109/IHMSC.2011.14

Filename

6038139