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Discrete Sliding Mode control of small UAS in tight formation flight under information constraints

机译:信息约束下小型编队在无人机飞行中的离散滑模控制

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This paper is concerned with a new control strategy based on discrete sliding mode control of small Unmanned Aerial Systems (UAS) in tight formation flight under information constraints. A discrete robust control strategy based on the sliding mode approach and a leader-follower scheme is proposed to achieve the desired flight performances while assuming realistic information constraints. A predictive reaching law is compared to a linear reaching law. This predictive discrete sliding mode control (PDSMC) strategy allows taking into account hard actuator constraints by solving an optimization problem at each time step. Also, this paper presents a meaningful study and comparison of the two discrete sliding mode control designs and time sampling continuous sliding mode control (TSCSMC). Here, the comparison focuses on the effect of discrete sampling on the control error analytically and in simulation. Effects on mesh stability are evaluated in simulation. Simulation results of a flight scenario with two different sampling frequencies demonstrate the efficiency of the proposed control strategy and show clearly the effect of the sampling time on the formation flight performance of the UAS obtained by the considered control strategies.
机译:本文研究了一种在信息约束下,在紧凑编队飞行中基于离散滑模控制的小型无人机系统(UAS)的新控制策略。提出了一种基于滑模方法和前导跟随方案的离散鲁棒控制策略,以在实现实际信息约束的同时实现所需的飞行性能。将预测到达定律与线性到达定律进行比较。这种预测性离散滑模控制(PDSMC)策略可通过在每个时间步求解优化问题来考虑硬执行器约束。此外,本文还对两种离散滑模控制设计和时间采样连续滑模控制(TSCSMC)进行了有意义的研究和比较。在此,比较着重于分析和仿真中离散采样对控制误差的影响。在仿真中评估对网格稳定性的影响。具有两个不同采样频率的飞行场景的仿真结果证明了所提出的控制策略的效率,并清楚地表明了采样时间对通过所考虑的控制策略获得的UAS编队飞行性能的影响。

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