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柔性多关节移动机器人非线性控制轨迹的二次模糊逼近

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针对柔性多关节移动机器人在非线性控制轨迹下控制精准度不高的问题,提出一种非线性控制下的模糊逼近方法.建立机器人动力学模型,根据动力学特性设置矢量参数,对误差扰动动态修正.将矢量参数作为初始输入值,采用加权平均和乘积推理法,使得矢量符合自适应规律,通过模糊逼近函数对控制器的输出值实行状态逼近,直至符合初始设定值;凭借李亚普诺夫函数对控制输出值二次实施稳定模糊逼近,完成非线性轨迹控制.以B样条曲线轨迹为例做控制实验,实验数据证明:该二次逼近控制方法在非线性轨迹下的控制精准度较高,控制器输出力矩稳定,实用性能较强.
Quadratic Fuzzy Approximation of Nonlinear Control Trajectory of Flexible Multi-joint Mobile Robot
In order to improve the low control accuracy of flexible multi-joint mobile robot under nonlinear control trajectory,a fuzzy approximation method under nonlinear control is proposed.The dynamic model of the robot is established,and the vector parameters are set according to the dynamic characteristics to dynamically correct the error disturbance.The vector parameters are taken as the initial input value and the weighted average and product reasoning method is adopted to make the vector conform to the adaptive law.The output value of the controller is approximated by the fuzzy approximation function until it conforms to the initial setting value.The control output value is approximated by the Lyapunov function twice to complete the nonlinear trajectory control.Taking the trajectory of B-spline curve as an example,the experimental data show that this quadratic approximation control method has high control accuracy under nonlinear trajectory,stable output torque of the controller and strong practical performance.

flexible multi-jointmobile robotnonlinear controlerror disturbancefuzzy approximation functioncontrollerB-spline curve

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商洛职业技术学院师范教育系,陕西商洛 726099

柔性多关节 移动机器人 非线性控制 误差扰动 模糊逼近函数 控制器 B样条曲线

陕西省教育厅专项科研计划项目

20JK0118

2024

机械制造与自动化
南京机械工程学会 南京机电产业(集团)有限公司

机械制造与自动化

CSTPCD
影响因子:0.29
ISSN:1671-5276
年,卷(期):2024.53(1)
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