Intelligent Dynamic Force Loading Algorithm for Aerospace Rudder Load Simulator

Abstract

In aerospace load simulation loading systems, due to the coupling between the loading system and the system under testing, surplus forces and poor loading accuracies remain to be key issues. To solve this, this paper introduces a new intelligent dynamic force loading algorithm. First, based on the mechanical geometry and fluid theory of the system, a nonlinear mathematical model that can describe the system more accurately is established. By combining the mechanical structure and mathematical model of the system, it is found that the surplus force caused by external disturbances has the greatest impact on the force loading accuracy. The causes of the surplus force are then analyzed and the solutions provided. To improve the force loading performance and eliminate excess force on the controller, an intelligent dynamic force loading algorithm is proposed. This new control algorithm ensures that the surplus force caused by an external disturbance can be suppressed to within the required range in a short time as well as improve the controller performance and dynamic force loading accuracy of the system. Finally, the algorithm is applied to an aerospace air rudder load simulator and its performance is compared with the three other classical control algorithms. The results show that the proposed intelligent control algorithm can attain better accuracy in dynamic force loadings and can attain a control accuracy that meets technical requirements. The load simulator and digital controller involved in this paper are applied in a Chinese Aerospace Research Institute. The load simulator is currently used for testing and product acceptance of the institute’s servo products. Because the control algorithm proposed in this paper meets the requirements of technical indicators and product performance testing requirements, it has been recognized by the institute and has been put into practical use. The technical experts of the institute have verified the experimental results and believe that its control accuracy and loading performance are better than those of the original old load simulator.