Self-navigation unmanned aerial vehicle test method and system, communication equipment and storage medium

Abstract

The invention provides a self-navigation unmanned aerial vehicle test method and system, communication equipment and a storage medium. The method comprises the following steps: building a plurality of models based on a simulation upper computer and coupling the models; compiling the coupled models and downloading the models to a simulation target machine for real-time operation so as to build a real-time simulation platform; connecting a real to-be-tested self-navigation unmanned aerial vehicle component to the real-time simulation platform to form a hardware-in-the-loop simulation and test platform; testing and verifying various control strategies and algorithm performance on the hardware-in-the-loop simulation and test platform; and after the test is finished, outputting a related test report according to a test result, and analyzing and evaluating the effects of the control strategy and the related algorithm. According to the technical scheme of the invention, an electrical system model and a non-electrical system model are coupled by using an electronic resolving technology, so that the barrier that the original FPGA is complex in programming and difficult to debug is broken.

Description

Technical field[0001]The present invention relates to the field of drone, in particular to a self-navigating unmanned aircraft test method and system, communication device, and storage medium.Background technique[0002]With the continuous advancement of science and technology, military and industries in the world have developed towards diversified and high-tech. However, research and development of high-tech equipment often takes greater human and material resources, resulting in an unbearable resource consumption. In high-tech equipment dominated by auto-navigator, traditional testing methods often evaluate the performance of the system through the actual test signal on site, but it has gradually been given up by countries due to the shortcomings such as high cost, high system. Therefore, seeking a safe, saving, and effective testing method has become a key and difficult to study in various countries around the world. Therefore, it is necessary to construct a semi-real simulation te...

AI Technical Summary

Problems solved by technology

[0005] However, the problem with this method is that using digital simulation tools such as Simulink to model the self-navigating UAV system cannot accurately simulate the dynamic characteristics and physical responses of external equipment, and this method mostly uses an equivalent linear system approximation model or Based on the simulation input data given by the algorithm, the system can only be simulated and verified in an ideal environment, and there is a problem of low accuracy

However, the direct use of the physical simulation test method requires complex FPGA programming, and a large number of system debugging tasks make debugging very difficult

Images