基于事件触发与创新制导的欠驱动无人艇固定时间路径跟踪OA
Event-triggered and innovative guidance-based fixed-time path tracking for underactuated unmanned surface vehicles
[目的]针对欠驱动无人艇在集总扰动、输入饱和以及机载能量受限条件下的路径跟踪控制问题,提出一种基于事件触发的固定时间路径跟踪控制策略.[方法]首先,提出纵向速度导引和固定时间视线制导律,为路径跟踪控制器提供期望的纵向速度和艏向角;其次,针对系统内部的模型参数不确定性和外部干扰所构成的集总扰动,引入固定时间扩张状态观测器,实现对集总扰动的估计和补偿;然后,针对系统的输入饱和问题,设计辅助动态系统以补偿其影响.最后,针对机载能量受限问题,设计周期性相对阈值事件触发机制,降低控制器输出频率,减少执行器动作,从而降低机载能量损耗.[结果]通过李雅普诺夫固定时间理论,证明了系统能在固定时间内稳定,分析并排除了芝诺行为.SimuNPS 仿真结果表明,跟踪误差在固定时间内收敛,验证了所提方法的有效性.[结论]该方法能有效估计集总扰动,补偿输入饱和对系统性能的负面影响,并减少控制器输出次数,为欠驱动无人艇在复杂环境下的路径跟踪控制提供了一种可靠的解决方案.
[Objective]This paper addresses the path tracking control problem for underactuated unmanned surface vehicles(USVs)under the conditions of lumped disturbances,input saturation,and limited onboard en-ergy.These factors complicate the path tracking process and reduce the effectiveness of traditional control methods.The aim of this study is to propose an event-triggered fixed-time path tracking control strategy that improves robustness,energy efficiency,and tracking precision in complex environments.[Methods]The proposed control strategy integrates several key components to address the challenges mentioned.First,a lon-gitudinal speed guidance law and a fixed-time line-of-sight(SGFTLOS)guidance law are designed to provide the desired longitudinal speed and heading angle for the USV,ensuring it follows the trajectory with optimal speed and heading.Next,to handle model uncertainties and external disturbances(such as wind and current),a Fixed-Time Extended State Observer(FESO)is introduced.The FESO estimates and compensates for lumped disturbances,improving the system's robustness in uncertain environments.To address input saturation,an auxiliary dynamic system is designed to smooth inputs and maintain stable path tracking,even when satura-tion occurs.Finally,to overcome onboard energy limitations,a periodic event-triggered mechanism based on relative threshold is proposed.This mechanism adjusts control signal update frequency based on system states,minimizing unnecessary actuator activity and energy consumption.[Results]The stability of the system is proven to be fixed-time stable using Lyapunov's fixed-time stability theory,which also eliminates Zeno behav-ior(infinite triggering in finite time)that could otherwise cause instability.SimuNPS simulation results demonstrate that the tracking error converges within a fixed time,verifying the effectiveness of the proposed method.Compared to existing methods,the proposed strategy exhibits faster transient response,smaller steady-state errors,and superior robustness in the presence of lumped disturbances.Furthermore,the introduc-tion of the FESO provides accurate real-time disturbance estimation,allowing the controller to compensate for disturbances and maintain precise path tracking.Additionally,the event-triggered mechanism significantly re-duces the number of control signal updates and actuator actions,improving the system's energy efficiency.[Conclusions]The proposed event-triggered fixed-time path tracking control strategy effectively addresses the challenges of lumped disturbances,input saturation,and limited onboard energy in underactuated USVs.By integrating event-triggered mechanisms,innovative guidance laws,and robust disturbance compensation,the strategy provides a reliable solution for path tracking in complex and uncertain environments.The fixed-time convergence property ensures that the USV achieves desired performance within a fixed time,making the strategy suitable for real-time applications requiring stability,precision,and energy efficiency.This method of-fers a robust,efficient,and reliable solution for USV path tracking control under difficult operational condi-tions.
王静;宋保健;慕东东
山东交通职业学院 机电工程系,山东 潍坊 261206大连海事大学 船舶电气工程学院,辽宁 大连 116026大连海事大学 船舶电气工程学院,辽宁 大连 116026
交通工程
无人艇路径跟踪事件触发固定时间控制扰动观测输入饱和扩张状态观测器SimuNPS
unmanned surface vehiclespath trackingevent-triggeringfixed-time controldisturbance observationinput saturationextended state observerSimuNPS
《中国舰船研究》 2026 (2)
367-379,13
辽宁省重点发展指导计划(2019JH8/10100100)大连市软科学研究计划(2019J11CY014)辽宁省博士科研启动基金资助项目(2022-BS-094)中国博士后基金资助项目(2022M710569)大连海事大学研究生教育教学改革资助项目(YJG2022713)
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