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首页> 外文期刊>IEEE Transactions on Control Systems Technology >Finite-Time Unknown Observer-Based Interactive Trajectory Tracking Control of Asymmetric Underactuated Surface Vehicles
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Finite-Time Unknown Observer-Based Interactive Trajectory Tracking Control of Asymmetric Underactuated Surface Vehicles

机译:基于有限的未知观察者的交互式轨迹跟踪控制的不对称欠压表面车辆

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摘要

In this brief, a finite-time unknown observer-based interactive trajectory tracking control (FUO-ITTC) scheme is created for an asymmetric underactuated surface vehicle (AUSV). In lieu of a selfish trajectory which might be essentially inaccessible for an AUSV, the philosophy of an interactive trajectory, which features freely prescribed surge and yaw dynamics, and sway interactions with cross-tracking dynamics, is innovatively established for the first time, and thereby contributing to a family of uniformly trackable trajectories which completely remove persistent-excitation constraints on the desired yaw rate. By defining a composite coordinate transformation (CCT), interactive trajectory tracking error dynamics are formulated in a cascade structure with finite-time vanishing residuals. By virtue of the CCT-based cascade structure, FUO-based surge and yaw controllers are separately synthesized with an interaction law. The entire FUO-ITTC closed-loop system stability is guaranteed by combining the Lyapunov approach with cascade analysis, which in turn rigorously proves that both kinematic and dynamic tracking errors globally asymptotically converge to zero. Comprehensive experiments and comparisons are conducted on a benchmark AUSV and demonstrate the remarkable performance of the proposed FUO-ITTC scheme in terms of both transient and steady-state tracking accuracy.
机译:在此简述中,为不对称的欠压表面车(AUSV)产生基于有限时间的基于观察者的交互式轨迹跟踪控制(FUO-ITTC)方案。代替一个自私的轨迹,这可能对AUSV来说基本上无法进入,互动轨迹的哲学,它具有自由规定的浪涌和偏航动力学,以及与交叉跟踪动态的摇摆相互作用是第一次创新,从而创新地建立了有助于一系列均匀可跟踪的轨迹,完全消除了所需的横摆率的持续激励约束。通过定义复合坐标变换(CCT),在具有有限时间消失的残留的级联结构中配制交互式轨迹跟踪误差动态。由于基于CCT的级联结构,基于福诺的浪涌和偏航控制器是用互动法分别合成的。通过将Lyapunov方法与级联分析相结合,保证了整个Fuo-ITTC闭环系统稳定性,这依Reforous证明了运动和动态跟踪误差全局渐近地收敛到零。在基准AUSV上进行了综合实验和比较,并在瞬态和稳态跟踪准确性方面展示了拟议的富型ITTC方案的显着性能。

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