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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Robust Output Control of an Uncertain Underactuated 2DOF Mass-Spring-Damper System with Backlash Based on Active Disturbance Rejection Control Structure
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Robust Output Control of an Uncertain Underactuated 2DOF Mass-Spring-Damper System with Backlash Based on Active Disturbance Rejection Control Structure

机译:基于主动干扰抑制控制结构的不确定欠驱动2DOF弹簧/减振器系统的鲁棒输出控制

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摘要

We propose a strategy to solve the tracking and regulation problem for a 2DOF underactuated mass-spring-damper system with backlash on the underactuated joint, parametric uncertainties, and partial measurement of the state vector. The design of the controller is divided into two stages; in the first stage, it is assumed that the full state vector and all perturbations in the system are available. The model is divided into one actuated subsystem and one underactuated subsystem. The position of the actuated mass is defined as the control input of the underactuated subsystem, which is designed as an ideal controller that solves the tracking and regulation control problems for the underactuated mass. Finally, the control input of the actuated subsystem is designed to solve the tracking problem considering as a reference signal the control signal of the underactuated subsystem. The second stage solves the problem of the implementation of the previously designed ideal controller using the active disturbances rejection control structure (ADRC). Here state observers estimate the nonmeasured state variables and, at the same time, estimate perturbations and auxiliary signals for their compensation. The performance of the closed-loop system is illustrated by numerical simulations and experimental results.
机译:我们提出了一种解决方案,以解决一个2DOF欠驱动质量弹簧-阻尼器系统的跟踪和调节问题,该系统在欠驱动关节上存在反冲,存在参数不确定性和状态向量的部分测量。控制器的设计分为两个阶段:在第一阶段,假设系统中的完整状态向量和所有扰动均可用。该模型分为一个驱动子系统和一个欠驱动子系统。被驱动质量的位置定义为欠驱动子系统的控制输入,该子系统被设计为理想控制器,用于解决欠驱动质量的跟踪和调节控制问题。最后,将被驱动子系统的控制输入设计为解决跟踪问题,将欠驱动子系统的控制信号作为参考信号。第二阶段解决了使用主动干扰抑制控制结构(ADRC)实现先前设计的理想控制器的问题。在这里,状态观测器估算未测量的状态变量,同时估算扰动和辅助信号以进行补偿。数值模拟和实验结果说明了闭环系统的性能。

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