Multiple model adaptive control using second level adaptation for a delta-wing aircraft

Author:

Ahmadian Narjes,Khosravi Alireza,Sarhadi Pouria

Abstract

Purpose – The purpose of this paper is to design a stable controller such that the control input is applied to the delta-wing aircraft in order to adjust the roll dynamics. The controller must provide a desired tracking performance with minimum tracking error. Design/methodology/approach – In this paper, the second level adaptation (SLA) strategy is applied to control a delta-wing aircraft using multiple models. The implemented control structure is compared with the first level adaptation (FLA) and model reference adaptive control (MRAC) techniques. Findings – SLA architecture not only copes with a wide uncertainty domain caused by aerodynamic effects, but also its rapid and accurate convergence is one of its most important features. Furthermore, this strategy makes a smoother control signal with respect to FLA and MRAC even at the same initial times. It should be also noted that SLA using three models, copes with uncertainty that may occur to the aircraft at high Angle Of Attacks (AOAs) at the entire flight envelope. Originality/value – In this paper for the first time the application of this strategy is used to identify and control a delta-wing aircraft. Furthermore a systematic block diagram approach is proposed for the design.

Publisher

Emerald

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Control of a jet engine using predictor-based adaptive strategy in different flight modes;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2023-03-15

2. Composite adaptive posicast controller for the wing rock phenomenon in a delta-wing aircraft;Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering;2019-06-19

3. Adaptive control of a jet turboshaft engine driving a variable pitch propeller using multiple models;Mechanical Systems and Signal Processing;2017-08

4. Sensor Anomaly Detection and Recovery in the Roll Dynamics of a Delta-Wing Aircraft via Monte Carlo and Maximum Likelihood Methods * *This work is supported by The Boeing Company;IFAC-PapersOnLine;2017-07

5. Scheduled smooth MIMO robust control of aircraft verified through blade element SIL testing;Transactions of the Institute of Measurement and Control;2016-08-25

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