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RapiBaBot: A solution to the inverted pendulum using a raspberry Pi and its GPIO

机译:RapiBaBot:使用树莓派及其GPIO的倒立摆解决方案

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In this paper we present a manipulation of the Kalman Filter and Proportional Integral Derivative (PID) controller to generate an Inverted Pendulum. A Kalman Filter recursively receives noisy data and produces an estimate of the system's state. A PID Controller determines the rate at which the system reaches the set state from the derived estimate. An Inverted Pendulum, an inherently unstable system, attempts to sustain an upright position. The utilizations of the Kalman Filter in conjunction with the PID Controller will allow the system to maintain that position. While many Inverted Pendulum applications exist, in this research we propose the RapiBaBot; a robot that employs low-cost, easily obtained electronics to formulate a fairly stable inverted pendulum system. In this paper we show how we solve issues that usually arise in inverted pendulum applications, namely, vibration and lack of mobility. These issues have to be solved effectively for the stability and mobility of the system. We also explain how to construct the Kalman Filter and PID Controller into an effective and understandable form for the electronics to easily integrate with.
机译:在本文中,我们介绍了对卡尔曼滤波器和比例积分微分(PID)控制器的操作,以生成倒立摆。卡尔曼滤波器递归地接收噪声数据并产生系统状态的估计值。 PID控制器根据导出的估算值确定系统达到设置状态的速率。倒立摆是一种固有的不稳定系统,它试图维持直立位置。卡尔曼滤波器与PID控制器的结合使用将使系统保持该位置。尽管存在许多倒立摆应用,但在本研究中,我们提出了RapiBaBot。使用低成本,易于获得的电子设备来构成相当稳定的倒立摆系统的机器人。在本文中,我们展示了如何解决倒立摆应用中通常出现的问题,即振动和移动性不足。为了系统的稳定性和可移动性,必须有效地解决这些问题。我们还将说明如何将卡尔曼滤波器和PID控制器构造为有效且易于理解的形式,以使电子设备易于集成。

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