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VIBRATION CONTROL FOR PARALLEL MANIPULATOR BASED ON THE FEED FORWARD CONTROL STRATEGY

机译:基于前馈控制策略的并联机械手振动控制

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Due to the high stiffness, high dynamic performance, the parallel manipulator presents great advantages in the industrial manufacture. However in the machining process, the external low frequency disturbance, e.g. the varying cutting force, has a significant effect on the control system of parallel manipulator, which presents a chatter phenomenon on the end-effector of manipulator. In this paper, a feed forward control strategy is proposed to eliminate the effect of the random external disturbance on the control system of parallel manipulator. By applying the external disturbance force on the inverse dynamic model, the compensation torque is calculated and fed forward into the manipulator driving joints to cancel out the effect of the disturbance acting on the manipulator end-effector. The key issue herein is to be able to establish the accurate dynamic model for the parallel manipulator. Furthermore, in order to guarantee the position precision of the manipulator, a feed forward model-based control strategy combined with the feedback loop PV (position and velocity) control has been developed based on the reference trajectory, which could relatively simplify the highly nonlinear control system of the parallel manipulator and obtain a stable tracking error model. The whole research has been carried out on a parallel manipulator named CaPaMan which has been built in the laboratory of robotics and mechatronics in university of Cassino and South Latium. The results show that the chatter phenomenon could be utterly depressed by the force compensation from the feed forward path of the external disturbance; meanwhile the model-based controller can guarantee the trajectory tracking accuracy within a stable error by choosing the suitable PV gains.
机译:由于具有较高的刚度,较高的动态性能,因此并联机械手在工业生产中具有很大的优势。但是,在加工过程中,外部低频干扰例如切削力的变化对并联机械手的控制系统有重要影响,在并联机械手的末端执行器上出现颤振现象。本文提出了一种前馈控制策略,以消除随机外部干扰对并联机械手控制系统的影响。通过在逆动力学模型上施加外部干扰力,可以计算补偿扭矩并将其转发给机械手驱动关节,以消除干扰对机械手末端执行器的影响。本文的关键问题是能够为并联机械手建立准确的动态模型。此外,为了保证机械手的位置精度,基于参考轨迹,开发了基于反馈模型PV的反馈控制PV(位置和速度)控制的控制策略,可以相对简化高度非线性的控制。并联机械手的系统,并获得稳定的跟踪误差模型。整个研究是在名为CaPaMan的并联操纵器上进行的,该并联操纵器是在卡西诺大学和南拉图姆大学的机器人和机电一体化实验室中建立的。结果表明,通过外部干扰前馈路径的力补偿可以完全抑制颤振现象。同时,基于模型的控制器可以通过选择合适的PV增益来保证轨迹跟踪精度在一个稳定的误差范围内。

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