基于反步控制器和滑模控制器的独轮车机器人滚转角动态控制

IF 0.6 Q4 AUTOMATION & CONTROL SYSTEMS International Journal of Modelling Identification and Control Pub Date : 2020-01-01 DOI:10.1504/ijmic.2020.10040954
Elkinany Boutaina, Alfidi Mohammed, Chalh Zakaria
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引用次数: 1

摘要

独轮车机器人由于其高度的机动性,是目前机器人工业中应用最精密、最新的机构。它代表了一个不平衡的,非完整的系统,只有一个轮子可以移动和站立。因此,它是研究人员建模和研究稳定性的最佳平台。利用拉格朗日动力学公式对独轮车机器人进行建模。在此基础上,提出了两种非线性控制器:滑模控制器和反步控制器。仿真结果表明,与滑模控制器(SMC)相比,采用反步控制器可以获得较好的横摇角稳定化性能和鲁棒性。
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Roll angle dynamic control of unicycle robot using backstepping controller and sliding mode controller
The unicycle robot is the most sophisticated and the newest mechanism used in robotics industry regarding its high degree of mobility. It represents an unbalanced, non-holonomic system that can move and stand with only one wheel. Accordingly, it is the best platform for researchers to model and study stability. This paper focuses on the modelling of the unicycle robot using the Lagrangian dynamic formulation. Henceforth, two nonlinear controllers are presented: the sliding mode and the backstepping controllers that were designed to control the roll angle. Both controllers were simulated and the results showed that the stabilisation of the roll angle can achieve a good performance and good robustness using the backstepping controller rather than the sliding mode controller (SMC).
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来源期刊
CiteScore
1.70
自引率
57.10%
发文量
52
期刊介绍: Most of the research and experiments in the fields of science, engineering, and social studies have spent significant efforts to find rules from various complicated phenomena by observations, recorded data, logic derivations, and so on. The rules are normally summarised as concise and quantitative expressions or “models". “Identification" provides mechanisms to establish the models and “control" provides mechanisms to improve the system (represented by its model) performance. IJMIC is set up to reflect the relevant generic studies in this area.
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