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倒立摆摆角全程控制的增益调度方法 总被引:1,自引:0,他引:1
倒立摆摆角全程控制需要解决倒立摆摆角大范围变动以及倒立摆最低点和最高点之间不存在平衡点的大范围角度区域的控制问题。本文提出的增益调度方法在倒立摆最高点具有平衡点的邻域内使用了自抗扰控制器ADRC,在最低点及不存在平衡点的大范围角度区域使用基于Lyapunov理论的控制律。通过基于调度变量8的插值算法协调这两种控制律的变换,避免了控制量的突变,实现了控制器参数在大范围角度下的选择。仿真结果说明了这种方法的有效性。基于Lyapunov的增益调度可以解决不存在平衡点的大范围变动工况内的非线性控制问题。 相似文献
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A Java/Matlab-based environment for remote control system laboratories: illustrated with an inverted pendulum 总被引:1,自引:0,他引:1
In this paper, a novel environment is described that provides 24-h-a-day access to a Web-based lab for the remote control of different didactic setups. The control of an inverted pendulum is used to demonstrate the use of such an environment. The main attributes of this Web-based lab are: 1) the on-line interactivity with the didactic setup, 2) the possibility of defining different experiments by using parameter files, and 3) the open architecture of the environment which allows easy development of new experiments with other didactic setups. The structure of this Web-based lab not only provides students with quantitative information feedback but also allows visual supervision. Now, a remote-controlled camera plays an important role within a remote experimentation environment with mobile parts. Students can handle the camera on-line, just as they can control the didactic setup over the Internet. 相似文献
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Control of an inverted pendulum using grey prediction model 总被引:1,自引:0,他引:1
Shiuh-Jer Huang Chien-Lo Huang 《Industry Applications, IEEE Transactions on》2000,36(2):452-458
A system with partial unknown structure, parameters, and characteristics is called a grey system. The grey theory can be employed to improve the control performance of a system without sufficient information or with highly nonlinear property. In this paper, a grey prediction model combined with a proportional plus derivative controller is proposed to balance an inverted pendulum, which is a classic example of an inherently nonlinear unstable system. The control objective is to swing up the pendulum from a stable position to an unstable position and bring its slider back to the origin of the track. The overall control algorithm is decomposed into two separate grey model controllers for swinging up and balancing, respectively, based upon the angular and velocity values of the pendulum. The experimental results show that this grey model controller is able to swing up and balance the inverted pendulum and guide its slider to the center of the track. It also has the robustness to balance the inverted pendulum at an upright position in suffering an external impact acting on the pendulum 相似文献
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Toshiyuki Murakami Koji Sasaki 《IEEJ Transactions on Electrical and Electronic Engineering》2009,4(2):192-198
Two-wheel inverted pendulum type of mobile manipulator has no casters and it is expected that quick and robust motion may be realized according to road surface. However the dynamical behavior is so complicated from a viewpoint of motion stability. To address this issue, this paper describes a motion control strategy to realize a stable pushing operation of the two-wheel inverted pendulum type of mobile manipulator. Here the manipulator platform is considered as a passive joint and a stabilization control of the passive joint is achieved by using null space motion of the mobile manipulator. Then workspace observer is also employed to obtain the robust null space motion.The proposed approach is verified by several numerical and experimental results. Copyright © 2009 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. 相似文献
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针对倒立摆系统控制过程中易受外界干扰和自然不稳定的特点,以及深度强化学习SAC算法采样数据利用率较低和随机离线策略网络收敛较慢的问题,提出了一种结合近端经验采样和优化策略网络结构的改进算法PRER_SAC。构建神经网络拟合函数,策略网络使用性能更优的Mish函数作为激活函数,设置自调节温度系数以增强智能体的探索能力;设计远、近两个经验池,及一种改变数据存放频率的训练策略,提高数据样本的利用率。通过仿真实验对比,所提方法在同等训练次数下所得回报值和算法收敛速度优于DDPG和SAC算法,同传统控制方法PID和LQR相比,有更好的控制效果。最后,对训练好的智能体加入角度扰动,可在2 s内被消除抑制,证明提出的算法具有较强的适用性。 相似文献
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一级倒立摆是一个典型的非线性、强耦合、多变量的不稳定系统,为了控制它的平衡性,首先对系统进行分析,建立数学模型。然后在模糊PID控制器的设计过程中,分析了模糊PID控制器的控制原理;确定了模糊语言变量和隶属函数;制定了模糊规则和解模糊的方法。最后利用Matlab中的Simulink和Fuzzy工具箱对一级倒立摆模型进行仿真研究。实验结果表明,模糊PID控制器具有很好的控制效果。 相似文献
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小车倒立摆系统作为1个典型的不稳定非线性系统,是进行控制理论教学及开展各种控制实验的理想实验平台,对小车倒立摆系统的控制分解为2部分:一部分称为"摆杆控制",采用T-S模糊模型来描述,利用系统的不确定性把系统表示成不确定系统的形式,设计出全局渐进稳定的模糊模型;另一部分称为"小车控制",通过对位置误差和小车速度的模糊化计算,得出控制量。最后,通过对小车倒立摆系统外加干扰信号、给定平移指令、参数摄动等实验表明,采用基于T-S模型的模糊控制,该系统可以在0.4s的时间内取得良好的控制效果,并且具有较强的鲁棒稳定性和良好的抗干扰性能。 相似文献
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倒立摆控制系统对外部干扰信号非常敏感,并且对状态反馈量的精确度要求较高。为了提高系统反馈量的精确度,设计了一种采集以及统计旋转光电编码器脉冲信号的方案。该设计方案以STM32为核心,并设计了二阶低通滤波器、脉冲整形电路以及其他辅助电路。在实验中,分别测试了不同转速下光电编码器输出的脉冲信号。实验结果表明,该方案有效地解决了脉冲高频干扰、波形边缘振荡以及脉冲畸形的问题。此外,通过拉格朗日建模法建立了一级倒立摆的数学模型,并设计了基于此数学模型的倒立摆LQR控制器。最后,在实物系统中观察了摆杆角度实时变化曲线,间接验证了该脉冲信号采集方案的有效性。 相似文献
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以自动控制领域典型的实验、教研设备-倒立摆系统作为研究对象,通过对控制原理分析、数学建模分析、状态反馈设计、MATLAB仿真,然后在搭建的实验平台上用LQR方法编程实现对其最优控制。系统成功起摆与保持倒立控制的实现,验证了建模的正确性与控制方式的有效性。 相似文献