Research on Control Algorithm of Unmanned Surface Vehicle Line Tracking Based on FPGA

Chuanyu Fu, Mingyong Yuan, Daoyou Lin, Fu Jian
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Abstract

The former domestic unmanned surface vehicle carrying multibeam bathymetry system to carry out measurement tasks at sea needs to follow the route issued by the upper computer, which is affected by the wind and waves at sea and other external factors, and will deviate from the target route and cannot meet the requirements of full coverage of multibeam measurement area, thus affecting the multibeam measurement results. In response to the above problems, the navigation path of the unmanned surface vehicle needs to be tracked and controlled. According to the requirements, a suitable mathematical model of unmanned surface boat motion is constructed, and the power system is controlled by incremental PID algorithm and codic algorithm based on FPGA to make real-time tracking and adjustment of the whole route. The unmanned surface vehicle “Sailing” of Hainan University is used as the research object, and the MATLAB simulation test is carried out for the designed control system, and the unmanned surface vehicle “Sailing” is used in the sea near Qinglan Port of Wenchang to conduct the real ship verification test. The feasibility and effectiveness of the designed method were verified by analyzing and comparing the simulation results and test results.
基于FPGA的无人水面车辆线路跟踪控制算法研究
国内以往搭载多波束测深系统的无人水面航行器在海上执行测量任务时,需要遵循上位机发布的航路,受海上风浪等外部因素影响,会偏离目标航路,无法满足对多波束测量区域全覆盖的要求,从而影响多波束测量结果。针对上述问题,需要对无人水面航行器的导航路径进行跟踪和控制。根据要求,构建了合适的无人水面艇运动数学模型,采用基于FPGA的增量PID算法和codic算法对动力系统进行控制,对整个航路进行实时跟踪和调整。以海南大学无人水面航行器“帆船”号为研究对象,对设计的控制系统进行MATLAB仿真试验,并将“帆船”号无人水面航行器在文昌市青兰港附近海域进行实船验证试验。通过对仿真结果和试验结果的分析比较,验证了所设计方法的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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