This paper presents an offset-free model predictive controller for fast and accurate control of a spherical soft robotic arm. In this control scheme, a linear model is combined with an online disturbance estimation technique to systematically compensate model deviations. Dynamic effects such as material relaxation resulting from the use of soft materials can be addressed to achieve offset-free tracking. The tracking error can be reduced by 35% when compared to a standard model predictive controller without a disturbance compensation scheme. The improved tracking performance enables the realization of a ball catching application, where the spherical soft robotic arm can catch a ball thrown by a human.
翻译:本文为快速和准确控制球体软机器人臂提供了一个无抵消模型预测控制器。 在这一控制方案中,线性模型与在线扰动估计技术相结合,以系统地补偿模型偏差。 使用软材料产生的物质放松等动态效应可以得到解决,以实现无抵消跟踪。 与没有扰动补偿计划的标准模型预测控制器相比,跟踪错误可以减少35%。 改进的跟踪性能可以实现球捕捉应用, 球体软机器人臂可以捕捉人类投出的球。