首页|基于模糊控制算法的软体机器人系统

基于模糊控制算法的软体机器人系统

扫码查看
模仿自然界软体动物运动的软体机器人,在人机交互、医疗服务等领域具有非常广泛的应用前景。基于模型的控制在解决机器人运动学模型的前提下能够很好地基于模型求解驱动输出,从而进行较好的控制。针对线驱动软体机器人进行软硬件的设计,在ROS平台进行各系统软件节点设计,结合模糊控制与局部线性子系统,设计多项式模糊模型控制器并对该系统进行稳定性分析。实验表明,基于多项式的模糊控制算法,可以控制软体机器人实现跟踪目标,达到预期效果。
Soft Robot System Based on Fuzzy Control Algorithm
Soft Robot that imitates the movement of natural mollusks has a very wide application prospect in the fields of human-robot interaction and medical service.Model-based control can solve the drive output well based on the model under the premise of solving the robot kinematics model,so as to achieve better control.Aiming at the software and hardware design of the line drive soft robot,ROS platform is used to design the software nodes of each system.Combined with fuzzy control and local linear subsystem,a polynomial fuzzy model controller is designed and the stability of the system is analyzed.The experiment shows that the fuzzy control algorithm based on polynomial can control the soft robot to achieve the tracking target,and achieve the expected effect.

soft robotfuzzy control algorithmkinematics modelingline drive

高靖茹、高燃、刘硕林、李哲轩、江家辉、杜佳岭

展开 >

中国矿业大学(北京),北京 100083

软体机器人 模糊控制算法 运动学建模 线驱动

2024

现代信息科技
广东省电子学会

现代信息科技

ISSN:2096-4706
年,卷(期):2024.8(20)