Aimed at the problem that traditional test program couldn't effectively enhance the test efficiency, three decompose method which based on mission, data and data stream were brought forward to solve the test problem of parallel decompose. Multi-core technology was imported in parallel test platform to make the real time ability of the parallel mission improved. In order to work out the issue that test program based on single-core couldn't utilize MCP technology effectively, schedule strategy of parallel test mission is advanced to optimize test flow and mission schedule. According to the result of experimentation, performance of plat based on MCP enhanced 30%~50% against single-core plat.
In the course of collaborative combat of multi-UAVs, there appear so many unpredictable fluctuations in the combat situation, and the mission assignment and decisionmaking of the combat are sequential and game-oriented, rendering it hard to build its dynamic and accurate model of operational missions. This paper breaks through the traditional research idea of mission modeling and optimization solution of collaborative operations of UAVs, and applies multi-agent reinforcement learning to the decision-making of multi-UAV collaborative combat, builds a verification environment of collaborative air-to-ground penetration and attacks of heterogeneous UAVs by designing MARL algorithm architecture, situation model, decision model and reward and punishment model, realizes the autonomous evolutionary learning of mission assignment and decision-making, and finally analyzes and evaluates the effectiveness and robustness of different MARL algorithms.
A hardware structure of LXI bus instruments based on NiosⅡ core is presented in this paper. By the translation of µC/OSⅡ operating system and the lwIP stack on the NiosⅡcore, the TCP and IP protocols are realized. The Web server and the Ethernet protocols are also realized by the programming interface supplied by the lwIP stack. Finally the paper tests the Network protocols on the LXI module instrument for 1553B bus communication. By using the NiosⅡ to realize the Network protocols of the LXI instruments, the processor and the peripherals can be embedded in one FPGA chip. The method makes it easy to design and upgrade the LXI instruments. At the same time the small instruments can be achieved.
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