In multirotor systems, guaranteeing safety while considering unknown disturbances is essential for robust trajectory planning. Computing the forward reachable set (FRS), the set of all possible states with bounded disturbances, can be a viable solution to find robust and collision-free trajectories. However, in many cases, the FRS is not calculated in real time and is too conservative to be used in actual applications. In this paper, we mitigate these problems by applying a nonlinear disturbance observer (NDOB) and an adaptive controller to the multirotor system. We formulate the FRS of the closed-loop system combined with the adaptive controller in augmented state space by exploiting the Hamilton-Jacobi reachability analysis and then present the ellipsoidal approximation in a closed-form expression to compute the small FRS in real time. Moreover, tighter disturbance bounds in the prediction horizon are inferred from the NDOB so that a much smaller FRS can be generated. Numerical examples validate the computational efficiency and the smaller scale of the proposed FRS compared to the baseline.
翻译:在多色体系统中,在考虑未知扰动的同时保障安全对于稳健的轨迹规划至关重要。计算所有可能受困国家组成的前向可达集(FRS),可以成为找到稳健和无碰撞轨迹的可行解决办法。然而,在许多情况下,FRS不是实时计算的,太保守,无法用于实际应用。在本文中,我们通过对多色体系统应用非线性扰动观察器(NDOB)和一个适应控制器来缓解这些问题。我们通过利用汉密尔顿-Jacobi可达性分析,将封闭性环流系统的FRS与扩增状态空间的适应控制器一起编制,然后用封闭式的表达方式提出双向近距离以实时计算小的FRS。此外,预测地平线上的较紧的扰动界限是从NDOB推算出来的,这样就可以产生更小得多的FRS。数字实例证实了计算效率和拟议FRS与基线相比规模较小。