Controlled motion modes of a gyroscopic pendulum in a gimbal suspension

Q3 Physics and Astronomy
Alexey Smirnov, Konstantin Sarvilov
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引用次数: 0

Abstract

The issues of controlling the motion of a gyroscopic pendulum fixed in a gimbal suspension and having three degrees of freedom are discussed in the paper. It is proposed to use physical analogies and correlate their action with the dissipative forces of external viscous friction, friction in gimbal joints and internal friction in the pendulum rod, as well as inertial forces and gyroscopic forces to form the control torques in gimbal joints. Six modes of controlled movement of the system are considered, which allow achieving various goals. It is shown that it is possible to completely suppress the motions of a gyroscopic pendulum, switch it to the mode of a spherical or physical pendulum, enter the mode of rotation around a fixed vertical axis, bring it to the mode of regular precession, and also strengthen or weaken the gyroscopic structure of the motion equations. The discussion of these modes of controlled motion is accompanied by the construction of motion equations both within the framework of the original nonlinear model and for simplified linear or weakly nonlinear models. The obtained results are theoretically interesting and may be useful for specific practical applications in the field of gyroscopic technology.
万向悬架中陀螺摆的受控运动模式
本文讨论了如何控制固定在万向节悬挂架上、具有三个自由度的陀螺摆的运动问题。建议使用物理类比,并将其作用与外部粘性摩擦力、万向节中的摩擦力和摆杆中的内摩擦力等耗散力以及惯性力和陀螺力相关联,以形成万向节中的控制扭矩。研究考虑了系统的六种受控运动模式,以实现不同的目标。结果表明,可以完全抑制陀螺摆的运动,将其切换到球形摆或物理摆的模式,进入绕固定垂直轴旋转的模式,使其进入规则的前倾模式,还可以加强或削弱运动方程的陀螺结构。在讨论这些受控运动模式的同时,还构建了原始非线性模型框架内的运动方程以及简化线性或弱非线性模型的运动方程。所获得的结果具有理论意义,并可用于陀螺仪技术领域的具体实际应用。
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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来源期刊
Cybernetics and Physics
Cybernetics and Physics Chemical Engineering-Fluid Flow and Transfer Processes
CiteScore
1.70
自引率
0.00%
发文量
17
审稿时长
10 weeks
期刊介绍: The scope of the journal includes: -Nonlinear dynamics and control -Complexity and self-organization -Control of oscillations -Control of chaos and bifurcations -Control in thermodynamics -Control of flows and turbulence -Information Physics -Cyber-physical systems -Modeling and identification of physical systems -Quantum information and control -Analysis and control of complex networks -Synchronization of systems and networks -Control of mechanical and micromechanical systems -Dynamics and control of plasma, beams, lasers, nanostructures -Applications of cybernetic methods in chemistry, biology, other natural sciences The papers in cybernetics with physical flavor as well as the papers in physics with cybernetic flavor are welcome. Cybernetics is assumed to include, in addition to control, such areas as estimation, filtering, optimization, identification, information theory, pattern recognition and other related areas.
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