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Research on ANN Dynamic Inversion Control of UAV

机译:无人机神经网络动态反演控制研究

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The paper proposes a method to design AANN dynamic inversion controller through online ANN compensating inversion error. It mainly aims at evident shortage of dynamic inversion controller of UAV. A single hidden layer ANN structure is constructed and the stability of the whole closed loop system is proved. Also the stable adjustment arithmetic of online ANN weight is proposed. The robustness, the adaptability to fault and the response capability to actuator delay time of the scheme are verified by simulation. It is also proved that the online ANN has improved the performance of dynamic inversion controller well. It has important reference value for designing advanced flight control systems of UAV.
机译:提出了一种通过在线ANN补偿反演误差来设计AANN动态反演控制器的方法。它主要针对无人机动态反演控制器明显短缺的问题。构造了单隐层神经网络结构,证明了整个闭环系统的稳定性。提出了在线人工神经网络权重的稳定调整算法。通过仿真验证了该方案的鲁棒性,对故障的适应性以及对执行器延迟时间的响应能力。事实证明,在线人工神经网络可以很好地改善动态反演控制器的性能。它对设计先进的无人机飞行控制系统具有重要的参考价值。

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