基于非最小状态表示的球摆建模与控制

IF 1.8 4区 数学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Mathematical and Computer Modelling of Dynamical Systems Pub Date : 2021-01-02 DOI:10.1080/13873954.2020.1853175
Ricardo Campa, Israel Soto, O. Martinez
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引用次数: 2

摘要

球摆是一种2自由度的机构,它由一根杆组成,其尖端在球体表面运动。通常用两个角坐标来描述这样的系统。本文提出了利用非极小坐标集对全致动力矩驱动球摆进行建模和控制。这些坐标仅仅是为了显示单位四元数作为处理刚体方向的有用工具的应用。首先,我们回顾了单位四元数的性质,并解释了如何利用它们来定义这种非极小摆坐标。在此基础上,建立了姿态调节的控制目标,提出了一种利用关节位移和速度测量以及姿态误差非极小状态的逆动力学控制器。稳定性分析表明控制目标的实现,并通过仿真进行了验证。
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Modelling and control of a spherical pendulum via a non–minimal state representation
ABSTRACT A spherical pendulum is a 2 degree-of-freedom mechanism consisting on a rod whose tip moves on the surface of a sphere. It is common to use two angular coordinates to describe such a system. This paper proposes the use of a non-minimal set of coordinates for modelling and controlling a fully-actuated torque-driven spherical pendulum. These coordinates is merely for the purpose of showing the application of unit quaternions as a useful tool for dealing with the orientation of rigid bodies. First, we recall the properties of unit quaternions, and explain how they can be employed for the definition of such non-minimal pendulum coordinates. Later, the control objective for orientation regulation is established and an inverse-dynamics controller, which uses joint displacement and velocity measurements but also some non-minimal states for the orientation error, is proposed. The stability analysis shows the fulfilment of the control objective and is validated through simulations.
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来源期刊
CiteScore
3.80
自引率
5.30%
发文量
7
审稿时长
>12 weeks
期刊介绍: Mathematical and Computer Modelling of Dynamical Systems (MCMDS) publishes high quality international research that presents new ideas and approaches in the derivation, simplification, and validation of models and sub-models of relevance to complex (real-world) dynamical systems. The journal brings together engineers and scientists working in different areas of application and/or theory where researchers can learn about recent developments across engineering, environmental systems, and biotechnology amongst other fields. As MCMDS covers a wide range of application areas, papers aim to be accessible to readers who are not necessarily experts in the specific area of application. MCMDS welcomes original articles on a range of topics including: -methods of modelling and simulation- automation of modelling- qualitative and modular modelling- data-based and learning-based modelling- uncertainties and the effects of modelling errors on system performance- application of modelling to complex real-world systems.
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