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Adaptive Control of a Gyroscopically Stabilized Pendulum and Its Application to a Single-Wheel Pendulum Robot

机译:陀螺稳定摆的自适应控制及其在单轮摆机器人中的应用

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摘要

This paper presents an adaptive decoupling control strategy for a gyroscopically stabilized pendulum. In the proposed model, the gyro moment acts directly on the pivot of the pendulum, the magnitude of which is restricted by gyroscopic precession. A decoupling algorithm based on virtual control is proposed to regulate the upright posture of the pendulum through gyroscopic precession. Virtual control is considered a control torque that acts on the pivot of the pendulum; it forms nonlinear mapping along with the precession command. Consequently, gyroscopic precession matches the stability condition of the pendulum well. In the control design, an adaptive disturbance estimation method based on a smooth saturation function is proposed to avoid the adverse effects of parametric uncertainties, mechanical vibrations, and system nonlinearities. Accurate estimation of unstructured disturbances is easily achieved by adaptively tuning the weight coefficient of the saturation function. The results of stability analysis, simulations, and experiments show the validity of the proposed pendulum model and adaptive decoupling control scheme.
机译:本文提出了一种陀螺稳定摆的自适应解耦控制策略。在所提出的模型中,陀螺力矩直接作用在摆的枢轴上,其大小受到陀螺仪进动的限制。提出了一种基于虚拟控制的解耦算法,通过陀螺仪进动来调节摆的直立姿态。虚拟控制被认为是作用在摆锤枢轴上的控制转矩;它与进动命令一起形成非线性映射。因此,陀螺仪的进动与摆锤的稳定性条件相匹配。在控制设计中,提出了一种基于平滑饱和函数的自适应干扰估计方法,以避免参数不确定性,机械振动和系统非线性的不利影响。通过自适应地调整饱和函数的权重系数,可以轻松实现对非结构性干扰的准确估算。稳定性分析,仿真和实验结果表明,所提出的摆模型和自适应解耦控制方案是有效的。

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