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A Comparison of Back Propagation Neural Network and Elman Recurrent Neural Network Algorithms on Altitude Control of Heavy-lift Hexacopter Based on Direct Inverse Control

机译:基于直接逆控制的重型直升机直升机反向控制神经网络算法与Elman递归神经网络算法的比较

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The altitude control is one of the important factors in controlling the heavy-lift hexacopter. This altitude control needs precise control since the heavy-lift hexacopter moves based on the speed of its driving motors. This paper uses a control based on Direct Inverse Controller with Neural Network Algorithm. The algorithm which used in this paper is Elman Recurrent Neural Network compared with Backpropagation Neural Network. The Backpropagation is the most used algorithm in Neural Network. In the testing result, The Elman Recurrent Neural Network algorithm result in smaller MSE value and capable to keep up with given data test compared with Backpropagation Neural Network algorithm.
机译:高度控制是控制重型直升机的重要因素之一。这种高度控制需要精确的控制,因为重型六轴飞行器是根据其驱动马达的速度移动的。本文使用基于直接逆控制器的神经网络控制。本文使用的算法是Elman递归神经网络,而不是反向传播神经网络。反向传播是神经网络中最常用的算法。在测试结果中,与反向传播神经网络算法相比,Elman递归神经网络算法的MSE值较小,并且能够跟上给定的数据测试。

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