Design of electric loading system in flight simulator based on PIDNN

Author

Liu Changhua ; Song Hua

Author_Institution

Acad. of Flight Technol. & Safely, Civil Aviation Flight Univ. of China, Guanghan, China

fYear

2011

fDate

19-22 Aug. 2011

Firstpage

2623

Lastpage

2626

Abstract

Electric loading system is an important part of flight simulator. A control scheme based on proportional integral differential neural network (PIDNN) is proposed against the highly nonlinear and vulnerable of flight simulator electric loading system, and simulated by Matlab. Firstly analyze and study the model of the electric loading system, and theoretically analyze its disturbance from outside environment, and consequently ratiocinate the system formula. Then take use of superior adaptive function of PIDNN controller to control the model. The simulation experiment result shows that the PIDNN has nice properties of static and dynamic and robustness, so it can meet the need of real-time control, and is good preference for the electric loading system.

Keywords

adaptive control; aerospace control; aerospace simulation; control system synthesis; neurocontrollers; three-term control; Matlab; PIDNN controller; adaptive function; control scheme; electric loading system design; flight simulator electric loading system; outside environment; proportional integral differential neural network; real-time control; system formula; Adaptation models; Aerospace control; Control systems; Force; Load modeling; Loading; Neurons; MATLAB; PIDNN; electric loading system; flight simulator; robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on

Conference_Location

Jilin

Print_ISBN

978-1-61284-719-1

Type

conf

DOI

10.1109/MEC.2011.6026030

Filename

6026030