scholarly journals Sliding-Mode Propulsion-Control Tests on a Motion Flight Simulator

2015 ◽  
Vol 38 (4) ◽  
pp. 671-684 ◽  
Author(s):  
H. Alwi ◽  
C. Edwards ◽  
O. Stroosma ◽  
J. A. Mulder
Keyword(s):  
Sliding Mode ◽  
Flight Simulator ◽  
Propulsion Control

Research on Adaptive Backstepping Global Sliding Control for CPS

2013 ◽  
Vol 846-847 ◽  
pp. 134-138
Author(s):  
Jue Wang ◽  
Fei Li ◽  
Ye Huang ◽  
Jian Hao Wang ◽  
Hong Lin Zhang
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Flight Simulator ◽  
Position Tracking ◽  
Adaptive Backstepping ◽  
Parameter Uncertainties ◽  
Servo Systems ◽  
Mode Control ◽  
Global Sliding Mode Control ◽  
Compensation Methods

The paper studies the problem of tracking control for flight simulator servo systems, one typical CPS, with parameter uncertainties and nonlinear friction compensation. Methods of adaptive global sliding mode control and backstepping control are respectively proposed to realize the control of virtual rotational speed and position tracking. Adaptive backstepping global sliding mode control strategy for flight simulator servo systems is proposed and its stability is analyzed. Simulation results show the effectiveness of the proposed method, which could achieve the precision position tracking performance and eliminate the chattering.

scholarly journals Flight Simulator Evaluation of Enhanced Propulsion Control Modes for Emergency Operation

2012 ◽  
Author(s):  
Jonathan Litt ◽  
Thomas Sowers ◽  
A. Karl Owen ◽  
Christopher Fulton ◽  
Amy Chicatelli
Keyword(s):  
Emergency Operation ◽  
Flight Simulator ◽  
Propulsion Control

scholarly journals A Discrete-Time Chattering Free Sliding Mode Control with Multirate Sampling Method for Flight Simulator

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Yunjie Wu ◽  
Youmin Liu ◽  
Wulong Zhang
Keyword(s):  
Sliding Mode Control ◽  
Discrete Time ◽  
Sampling Method ◽  
Sliding Mode ◽  
Reference Signal ◽  
Flight Simulator ◽  
Mode Control ◽  
Dynamic Tracking ◽  
Multirate Sampling ◽  
Chattering Free

In order to improve the tracking accuracy of flight simulator and expend its frequency response, a multirate-sampling-method-based discrete-time chattering free sliding mode control is developed and imported into the systems. By constructing the multirate sampling sliding mode controller, the flight simulator can perfectly track a given reference signal with an arbitrarily small dynamic tracking error, and the problems caused by a contradiction of reference signal period and control period in traditional design method can be eliminated. It is proved by theoretical analysis that the extremely high dynamic tracking precision can be obtained. Meanwhile, the robustness is guaranteed by sliding mode control even though there are modeling mismatch, external disturbances and measure noise. The validity of the proposed method is confirmed by experiments on flight simulator.

ADAPTIVE BACKSTEPPING SLIDING MODE CONTROLLER FOR FLIGHT SIMULATOR BASED ON RBFNN

2013 ◽  
Vol 04 (04) ◽  
pp. 1342007 ◽  
Author(s):  
YUNJIE WU ◽  
BAITING LIU ◽  
WULONG ZHANG ◽  
XIAODONG LIU
Keyword(s):  
Controller Design ◽  
Sliding Mode ◽  
Flight Simulator ◽  
Sliding Mode Controller ◽  
Control Input ◽  
Adaptive Backstepping ◽  
External Disturbances ◽  
Base Function ◽  
System A ◽  
Radial Base Function

For flight simulator system, a kind of Adaptive Backstepping Sliding Mode Controller (ABSMC) based on Radial Base Function Neural Network (RBFNN) observer is presented. The sliding mode control theory is famous by its characteristic that it is insensitive to the external disturbances and parameters uncertainties. Combining this characteristic with Backstepping method can simplifies the controller design. And the addition of the terminal attractor can make the arrival time shorten greatly. However, too large external disturbances and parameters uncertainties are still not allowed to the system, and the design process of ABSMC does not have the upper bound information of disturbance until a RBFNN observer is designed to solve the problems. The simulation results show that the proposed scheme can improve the tracking precision and reduce the chattering of the control input, and the system has a higher robustness.

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