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Periodic motion planning and control for double rotary pendulum via virtual holonomic constraints

机译:基于虚拟完整约束的双旋转摆的周期性运动计划和控制

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Periodic motion planning for an under-actuated system is rather difficult due to differential dynamic constraints imposed by passive dynamics, and it becomes more difficult for a system with higher underactuation degree, that is with a higher difference between the number of degrees of freedom and the number of independent control inputs. However, from another point of view, these constraints also mean some relation between state variables and could be used in the motion planning. We consider a double rotary pendulum, which has an underactuation degree 2. A novel periodic motion planning is presented based on an optimization search. A necessary condition for existence of the whole periodic trajectory is given because of the higher underactuation degree of the system. Moreover this condition is given to make virtual holonomic constraint VHC based control design feasible. Therefore, an initial guess for the optimization of planning a feasible periodic motion is based on this necessary condition. Then, VHCs are used for the system transformation and transverse linearization is used to design a static state feedback controller with periodic matrix function gain. The controller gain is found through another optimization procedure. The effectiveness of initial guess and performance of the closed-loop system are illustrated through numerical simulations.
机译:由于被动动力学施加的差分动态约束,对于欠驱动系统的周期性运动计划相当困难,对于欠驱动程度较高的系统,即自由度数和运动度之间的差异较大的系统,则变得更加困难。独立控制输入的数量。但是,从另一个角度来看,这些约束也意味着状态变量之间的某种关系,并且可以在运动计划中使用。我们考虑一个双旋转摆,其欠驱动度为2。基于优化搜索,提出了一种新颖的周期性运动计划。由于系统的欠驱动度较高,因此给出了存在整个周期轨迹的必要条件。此外,给出该条件以使得基于虚拟完整约束VHC的控制设计可行。因此,基于此必要条件,可以初步猜测优化可行的周期性运动的计划。然后,将VHC用于系统转换,并使用横向线性化来设计具有周期矩阵函数增益的静态反馈控制器。控制器增益是通过另一个优化过程找到的。通过数值模拟说明了初始猜测的有效性和闭环系统的性能。

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