浪流扰动下脐带缆动力学响应分析与ROV轨迹跟踪控制OA
Dynamic response analysis of the umbilical cable and ROV trajectory tracking control under wave-current disturbances
针对水下遥控机器人(Remotely operated vehicle,ROV)在复杂环境作业时,因负浮力脐带缆的非线性拖曳与海浪瞬态冲击导致的轨迹偏离问题,开展脐带缆动力学响应分析与抗扰轨迹跟踪控制方法研究.首先,采用集中质量法与莫里森方程建立脐带缆动力学模型,利用OrcaFlex软件分析典型工况下脐带缆的时变张力与拖曳扰动特性.其次,设计改进视线法(Improved line-of-sight,ILOS)实现三维空间轨迹的降维解耦与制导;引入线性扩张状态观测器(Linear extended state observer,LESO)对脐带缆拖曳力与浪流的未知复合扰动进行实时估计与前馈补偿,并结合幂次滑模控制(Power rate sliding mode control,PRSMC)柔化控制输出以抑制高频抖振.最后,基于MATLAB与OrcaFlex搭建联合仿真平台进行闭环验证.仿真结果显示,在复杂折线轨迹跟踪中,本研究控制方法的三自由度平均绝对误差相较于传统滑模控制(Sliding mode control,SMC)分别降低了28.40%、27.95%及49.78%.研究表明,在面临复杂轨迹与多源复合扰动时,本研究控制算法能够实现对流缆耦合未知干扰的精确观测与实时补偿,有效减少稳态误差与系统抖振,具备较好的跟踪精度与强鲁棒性.本研究可为强干扰环境下ROV的抗扰控制系统设计与应用提供参考依据.
To address the trajectory deviation of remotely operated vehicles(ROVs)during operations in complex environments-caused by the nonlinear towing of a negative-buoyancy umbilical cable and the transient impact of ocean waves-the dynamic response of the umbilical cable and an anti-disturbance trajectory tracking control method are investigated.First,a dynamic model of the umbilical cable is established using the lumped-mass method and the Morison equation,and the time-varying tension and towing-disturbance characteristics under typical operating conditions are analyzed with the OrcaFlex software.Second,an improved line-of-sight(ILOS)guidance law is designed to achieve dimensionality reduction,decoupling,and guidance of the three-dimensional trajectory;a linear extended state observer(LESO)is introduced to perform real-time estimation and feedforward compensation of the unknown composite disturbances arising from cable towing forces and the wave-current field,and a power-rate sliding mode control(PRSMC)is combined to smooth the control output and suppress high-frequency chattering.Finally,a co-simulation platform based on MATLAB and OrcaFlex is built for closed-loop verification.Simulation results show that,in tracking a complex polyline trajectory,the proposed control method reduces the mean absolute errors(MAEs)of the three degrees of freedom by 28.40%,27.95%,and 49.78%,respectively,compared with conventional sliding mode control(SMC).The results indicate that,under complex trajectories and multi-source composite disturbances,the proposed control algorithm can accurately observe and compensate in real time for the unknown current-cable coupled disturbances,effectively reducing steady-state error and system chattering,and achieving good tracking accuracy and strong robustness.This study can provide a reference for the design and application of anti-disturbance control systems for ROVs in strongly disturbed environments.
李兆昊;夏英凯;阚继升;李承奕;潘天正;梁兆伟
华中农业大学 工学院,湖北 武汉 430070华中农业大学 工学院,湖北 武汉 430070||农业农村部水产养殖设施工程重点实验室,湖北 武汉 430070华中农业大学 工学院,湖北 武汉 430070华中农业大学 工学院,湖北 武汉 430070华中农业大学 工学院,湖北 武汉 430070武汉第二船舶设计研究所,湖北 武汉 430205
信息技术与安全科学
水下遥控机器人负浮力脐带缆动力学响应轨迹跟踪联合仿真
remotely operated vehicle(ROV)negative-buoyancy umbilical cabledynamic response analysistrajectory trackingco-simulation
《上海海洋大学学报》 2026 (5)
1185-1199,15
华中农业大学创新平台建设培育专项(2662025GXPY008)
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