加性状态相关扰动下飞机输出跟踪控制:一种最优控制方法

IF 1.2 4区计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS

Archives of Control Sciences Pub Date : 2023-07-20 DOI:10.24425/acs.2021.137418

Ilker Tanyer, E. Tatlicioglu, E. Zergeroglu

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引用次数: 2

摘要

研究了具有加性、不确定、非线性扰动的飞机的模型参考输出反馈跟踪控制问题。为了以一种清晰的方式呈现设计步骤:首先，飞机动力学系统暂时被假设为已知系统的所有可用状态。Thenafeedbacklinearizingcontrollerminimizingaperformanceindexwhile onlyrequiringtheoutputmeasurementsofthesystemisproposed。由于飞机动力学是不确定的，并且只有输出是可用的，因此所提出的控制器使用了新的不确定性估计器。通过基于apunov的参数，保证了闭环系统的稳定性和方法的全局渐近跟踪性，并建立了控制器向最优控制器的渐近收敛性。Numericalsimulationsarepresented inordertodemonstratethefeasibilityandperformanceoftheproposedcontrolstrategy。

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Output tracking control of an aircraft subject to additive state dependent disturbance: an optimal control approach

In this paper, model reference output feedback tracking control of an aircraft subject to additive, uncertain, nonlinear disturbances is considered. In order to present the design steps in a clearfashion:ﬁrst,theaircraftdynamicsistemporarilyassumedasknownwithallthestatesofthe systemavailable.Thenafeedbacklinearizingcontrollerminimizingaperformanceindexwhile onlyrequiringtheoutputmeasurementsofthesystemisproposed.Astheaircraftdynamics isuncertainandonlytheoutputisavailable,theproposedcontrollermakesuseofanovel uncertaintyestimator.Thestabilityoftheclosedloopsystemandglobalasymptotictrackingof theproposedmethodareensuredviaLyapunovbasedarguments,asymptoticconvergenceof thecontrollertoanoptimalcontrollerisalsoestablished.Numericalsimulationsarepresented inordertodemonstratethefeasibilityandperformanceoftheproposedcontrolstrategy.

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来源期刊

Archives of Control Sciences Mathematics-Modeling and Simulation

CiteScore

2.40

自引率

33.30%

发文量

审稿时长

14 weeks

期刊介绍： Archives of Control Sciences welcomes for consideration papers on topics of significance in broadly understood control science and related areas, including: basic control theory, optimal control, optimization methods, control of complex systems, mathematical modeling of dynamic and control systems, expert and decision support systems and diverse methods of knowledge modelling and representing uncertainty (by stochastic, set-valued, fuzzy or rough set methods, etc.), robotics and flexible manufacturing systems. Related areas that are covered include information technology, parallel and distributed computations, neural networks and mathematical biomedicine, mathematical economics, applied game theory, financial engineering, business informatics and other similar fields.