Study On Extraneous Force Suppression Based On Aircraft Actuator Load Testing Platform

Aircraft flying in the air by a certain track is driven by the rudder which drives the actuator to calibrate the flight path at any time. As the executive part of rudder loading system,the electromechanical actuator directly affects the tracking precision of the rudder. At present,the research of electric loading system is still in the initial stage, the emphasis and difficulty of opposing cooperation control system is extraneous force, and still need to conduct in-depth study of tackling the problem.In this paper, combined with the domestic and foreign scholars research methods for the extraneous force, based on aircraft actuator load testing platform of electric loading system,the suppression or elimination of extraneous force were reviewed from both the hardware structure and control strategy. According to the loading control system structure and movement characteristics, combined with the load observer of sliding mode control(SMC)method is put forward.As the actuator of the flight control system the electric actuator servo system is a equipment which contacts the flight control commands and the control elements. Due to the complexity of environmental conditions and characteristic of model parameter uncertainty, it is difficult to get the accurate mathematical model of the controlled object, and the uncertainty of object also brings many difficulties to the parameter optimization of the servo system. The method of system parameter identification based on MATLAB is proposed to the system.According to the principle of electric actuator servo system, based on the analysis of the system dynamics model, the system model analysis method is determined.For the identification mode, the controller is designed, and parameters are optimized. Using MATLAB optimization toolbox, automatic adjustment of parameters is implemented. And combined with the characteristics of the sliding mode control(SMC) system, research is taken based on the control strategy. By using LabWindows/CVI and MATLAB mixed programming, the controller core is implemented with DSP TMS320F2812. Finally, aiming at the performance index of the electric system, experimental results show that the whole set of scheme designed in the article is feasible. The experimental graphs are ideal too. It is reliable that the motor runs, and speed stability is also good. Every target achieves the request of the project.