摘要
为研究新型有缆开架式遥控水下航行器(ROV)的轨迹跟踪问题,在径向基神经网络滑膜控制律基础上,考虑推力约束条件,提出一种变增益抗饱和辅助系统,并通过李雅普诺夫稳定性相关定理证明了控制系统的稳定性。该系统充分考虑了ROV的实际作业工况,利用MARLAB Simulik搭建仿真平台,在轨迹跟踪仿真验证中引入建模误差、海流干扰、脐带缆作用力等因素影响。仿真结果表明,加入抗饱和系统后,ROV进行轨迹跟踪时推进系统推力饱和持续时间降低27%,各自由度的累计跟踪误差降低,垂荡和横摇方向的跟踪误差大幅减少,验证了新控制律的可靠性。
To investigate the trajectory-tracking problems of a new open-frame remote operated vehicle(ROV),a new variable gain anti-saturation auxiliary system is proposed,which is based on the radial basis function neural network sliding mode control law and considers thrust constraints.The stability of the control law was proved using the Lyapunov stability theory.A simulation was built using MATLAB Simulink,and modeling errors,ocean current disturbances,and cable action force are considered during the trajectory-tracking study,which is similar to the actual working environment of a ROV.The results show that after incorporating the anti-saturation system,the thrust saturation duration of the propulsion system decreased by 27%during the ROV track tracking,the cumulative tracking error of each degree of freedom decreased,and the tracking error of the roll and heave degrees decreased significantly,demonstrating the reliability of the new control law.
作者
薛乃耀
刘鲲
王冬姣
叶家玮
XUE Nai-yao;LIU Kun;WANG Dong-jiao;YE Jia-wei(School of Civil and Transportation Engineering,South China University of Technology,Guangzhou 510640,China)
出处
《水下无人系统学报》
2021年第3期272-277,共6页
Journal of Unmanned Undersea Systems
基金
国家重点研发计划项目(2016YFC1400202)
广东省级科技计划项目(2015B010919006)
中央高校基本科研基金(D2192650)。
关键词
遥控水下航行器
推力饱和
轨迹跟踪
径向基神经网络
滑模控制
remote-operated vehicle(ROV)
thrust saturation
trajectory tracking
radial basis function neural network
sliding mode control
