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Sliding mode control based on interval type-2 fuzzy-neural network controller for an UAV

机译:基于区间2型模糊神经网络控制器的无人机滑模控制

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In this paper, a robust controller for a Six Degrees of Freedom (6 DOF) quadrotor helicopter control is proposed. Neural Networks (NN), Interval Type-2 Fuzzy Logic Control approach (IT2FLC) and Sliding Mode Control (SMC) technique are used to design a controller, named Neural Network Interval Type-2 Fuzzy Sliding Mode Controller (NNIT2FSMC), for each subsystem of the quadrotor helicopter. The proposed control scheme allows avoiding difficult modeling, attenuating the chattering effect of the SMC, reducing the rules number of the fuzzy controller, guaranteeing the stability and the robustness of the system. The simulation results show that the NNIT2FSMC can greatly alle-viate the chattering effect and is sufficiently robust with respect to the external disturbances.
机译:本文提出了一种用于六自由度(6 DOF)四旋翼直升机控制的鲁棒控制器。神经网络(NN),区间2型模糊逻辑控制方法(IT2FLC)和滑模控制(SMC)技术用于为每个子系统设计名为神经网络区间2型模糊滑模控制器(NNIT2FSMC)的控制器四旋翼直升机。所提出的控制方案可以避免建模困难,减弱SMC的抖振效果,减少模糊控制器的规则数量,保证系统的稳定性和鲁棒性。仿真结果表明,NNIT2FSMC可以极大地消除抖振效应,并且对于外部干扰具有足够的鲁棒性。

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