微型直升机模糊自适应非奇异终端滑模控制

IF 1.3 4区工程技术 Q2 ENGINEERING, AEROSPACE

Journal of Aerospace Information Systems Pub Date : 2023-11-07 DOI:10.2514/1.i011156

Reihaneh Kardehi Moghaddam, Javad Baratpoor

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引用次数: 0

摘要

提出了一种考虑不确定性和外界干扰的微型无人直升机模糊自适应终端滑模控制方法，并利用终端滑模面提供更快的收敛速度。针对被控系统存在的奇异性问题，将控制结构发展为非奇异结构。在该控制结构中，将连续非奇异终端滑模控制与自适应学习算法和模糊逻辑系统相结合来估计不确定性;并根据Lyapunov稳定性定理得到了参数自适应规律。分析结果表明，与现有的控制方法相比，该方法具有更快、更精确的跟踪性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Fuzzy Adaptive Nonsingular Terminal Sliding Mode Control of a Miniature Helicopter

This paper presents a fuzzy adaptive terminal sliding mode control for an unmanned miniature helicopter including uncertainties and external disturbances, and a terminal sliding surface is utilized to provide faster convergence. Due to the fact that the presented controlled system is facing a singularity problem, the controlling structure is developed to a nonsingular one. In the proposed controlling structure, a continuous nonsingular terminal sliding mode control is combined with an adaptive learning algorithm and fuzzy logic system to estimate the uncertainties; and the parameter adaptation law is obtained based on the Lyapunov stability theorem. Analytical results show that the proposed approach enables a faster and more accurate tracking performance as compared to recent controlling methods.

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来源期刊

Journal of Aerospace Information Systems ENGINEERING, AEROSPACE-

CiteScore

3.70

自引率

13.30%

发文量

审稿时长

>12 weeks

期刊介绍： This Journal is devoted to the dissemination of original archival research papers describing new theoretical developments, novel applications, and case studies regarding advances in aerospace computing, information, and networks and communication systems that address aerospace-specific issues. Issues related to signal processing, electromagnetics, antenna theory, and the basic networking hardware transmission technologies of a network are not within the scope of this journal. Topics include aerospace systems and software engineering; verification and validation of embedded systems; the field known as ‘big data,’ data analytics, machine learning, and knowledge management for aerospace systems; human-automation interaction and systems health management for aerospace systems. Applications of autonomous systems, systems engineering principles, and safety and mission assurance are of particular interest. The Journal also features Technical Notes that discuss particular technical innovations or applications in the topics described above. Papers are also sought that rigorously review the results of recent research developments. In addition to original research papers and reviews, the journal publishes articles that review books, conferences, social media, and new educational modes applicable to the scope of the Journal.