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Fractional order adaptive fuzzy sliding mode controller for a position servo system subjected to aerodynamic loading and nonlinearities

机译:气动载荷和非线性作用下位置伺服系统的分数阶自适应模糊滑模控制器

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An adaptive fuzzy fractional order sliding mode control (FFOSMC) is introduced for a high performance servo actuation system that is subjected to aerodynamic loads and uncertainties. During flight, aerodynamic loads are exerted on control surfaces which directly affect the performance of position servo loop. Moreover, since these loads are not linear so qualification of servo actuators is an important process in aerospace industry. This article focuses on formulating a servo position controller using fractional calculus and verifying its performance under system uncertainties, nonlinear friction and aerodynamic loads. Utilizing the advantages of fractional order proportional-integral Plot sliding surface and fractional order proportional-derivative PM sliding surface, a novel sliding surface is proposed. To reduce chattering phenomenon in sliding mode control, fuzzy logic controller (PLC) is used to deal with uncertain nonlinearities, parametric uncertainties and external disturbances. FLC makes it possible to use small switching gain of the discontinuous control in the presence of large upper bounded uncertainties. Adaptive laws are formulated using Lyapunov function to guarantee the sliding condition. Efficiency of the proposed controller is demonstrated through numerical simulations. (C) 2015 Elsevier Masson SAS. All rights reserved.
机译:针对高性能伺服驱动系统,引入了自适应模糊分数阶滑模控制(FFOSMC),该系统要承受气动载荷和不确定性。在飞行过程中,气动载荷施加在控制表面上,这直接影响位置伺服回路的性能。此外,由于这些负载不是线性的,因此对伺服执行器的鉴定是航空航天工业中的重要过程。本文着重于使用分数演算来制定伺服位置控制器,并验证其在系统不确定性,非线性摩擦和气动载荷下的性能。利用分数阶比例积分图滑动面和分数阶比例导数PM滑动面的优点,提出了一种新型的滑动面。为了减少滑模控制中的颤动现象,使用模糊逻辑控制器(PLC)处理不确定性非线性,参数不确定性和外部干扰。在存在较大的上限不确定性的情况下,FLC可以使用不连续控制的小开关增益。使用Lyapunov函数制定了自适应定律以保证滑动条件。通过数值仿真证明了所提出控制器的效率。 (C)2015 Elsevier Masson SAS。版权所有。

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