Research On Control Algorithm For Electromechanical Hydraulic Load Simulator Of Aircraft Rudder

With the blowout development of China's aviation industry,more and more stringent requirements have been placed on the safety performance of aircraft in the civil aviation and military fields.In order to ensure the aircraft fly safety,it is necessary to carry out regular maintenance and test the onboard avionics equipment.The aircraft rudder electro-hydraulic load simulator is a kind of ground semi-physical simulation equipment to test the performance index of the rudder under the laboratory environment.Due to the influence of non-linear and uncertain factors in the system,and the interference of excess force,the tracking and control accuracy of the system are seriously affected.Therefore,how to design a reasonable control scheme,minimize excess force,and improve various performance indicators of the system has become an urgent research topic in the field of civil aviation avionics equipment testing.Firstly,based on the analysis of the research status of domestic and foreign aircraft rudder electro-hydraulic load simulators,this paper studies the structure and working principle of the system,and determines the selection and technical performance indexes of various components.Secondly,this paper establishes the mathematical model of the system,and studies the mechanism and characteristics of excess force.Finally,this paper designs the composite control scheme according to the system model.On the one hand,this paper designs a identifier based on the BP neural network and use the PSO and CPA algorithm to optimize the network,which not only effectively prevents the BP neural network from falling into a local minimum,but also improves the identification accuracy.On the other hand,this paper uses the nonlinear model obtained by the system identification which replaces the traditional mathematical model as the control object of the controller,then use the DRNN neural network to tune PID controller parameters online.MATLAB simulation experiment results show that,compared with the traditional control compensation method,the control scheme can suppress the excess force of the system,and improve the tracking accuracy and response speed.