Title :
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
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;
Conference_Titel :
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location :
Jilin
Print_ISBN :
978-1-61284-719-1
DOI :
10.1109/MEC.2011.6026030
