|国家预印本平台
首页|水下球形机器人BYSQ3的姿态控制研究

水下球形机器人BYSQ3的姿态控制研究

he attitude control study of the spherieal underwater vehicles BYSQ3

中文摘要英文摘要

以水下球形机器人BYSQ3为研究对象,因为整体建模分析时需要考虑多种因素,惯性质量、各种力矩等需要表示成六阶矩阵形式,求解计算量非常大。为了便于分析,将整体分解成三个运动平面:水平面、纵垂面和横垂面,单独分析各平面时不考虑其他平面的耦合作用。在此基础上,针对传统PID控制和模糊控制方法的不足,提出一种PID参数模糊自整定的方法构建自适应模糊PID控制器,分别设定了比例、积分、微分的模糊规则表,设计了改进的模糊PID控制器结构。在MATLAB中进行了水下球形机器人BYSQ3在水平面进退实验和纵垂面潜浮实验。仿真结果显示改进的模糊PID控制器对于BYSQ3的姿态控制有着更好的鲁棒性和稳定性,超调量更小。这些结果可以作为进一步研究BYSQ3的水下运动控制的理论基础。

Spherieal underwater vehicle BYSQ3 was used as the research object.Because the whole modeling analysis need to consider many factors, and the inertial mass, a variety of torque need to be represented into six order matrix form, which need very large amount of calculation.In order to facilitate analysis, the whole is decomposed into three planar motion: horizontal, longitudinal vertical and cross vertical plane.Then it can be analyzed separately each plane without considering the coupling effects from other plane.On this basis, aiming at improving the shortcomings of the traditional PID control box of the fuzzy control method, an adaptive fuzzy PID controller based on PID parameter fuzzy self-tuning was proposed.it set the proportion, integral, differential table of fuzzy rules and the improved fuzzy PID controller structure was designed.The experiment in horizontal plane and longitudinal vertical of spherieal underwater vehicle BYSQ3was carried in MATLAB.The simulation results show that the improved fuzzy PID controller for BYSQ3 attitude control has better robustness, less overshoot amount.These results can be used as a theoretical basis for further study of the underwater motion control of BYSQ3.

孙汉旭、张金鹏

自动化技术、自动化技术设备自动化基础理论

控制科学与工程水下球形机器人分平面建模模糊PID控制

ontrol science and engineeringSpherieal underwater vehicleSubplane modelingFuzzy PID control

孙汉旭,张金鹏.水下球形机器人BYSQ3的姿态控制研究[EB/OL].(2017-12-27)[2025-08-18].http://www.paper.edu.cn/releasepaper/content/201712-336.点此复制

评论