首页> 外文期刊>Modern Physics Letters, B. Condensed Matter Physics, Statistical Physics, Applied Physics >Robust tracking control with discrete-time LQR control for micromanipulators
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Robust tracking control with discrete-time LQR control for micromanipulators

机译:用于微操纵器的离散时间LQR控制的鲁棒跟踪控制

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This paper presents a robust tracking control with discrete-time linear quadratic regulation (LQR) method for micromanipulators. The micromanipulator is composed of three piezoelectric actuators (PEAs), which results in achieving three-degree-of-freedom motion. PEAs have been widely used in micromanipulation for biomedicine because of the advantages of its infinitely small displacement resolution and precision. However, owning to the nonlinear effects of PEAs, mainly hysteresis, can drastically degrade the tracking control accuracy. Therefore, it is desirable to develop advanced controllers to compensate hysteresis effect for improving the trajectory tracking performance. Before the controller design, a compensation for motion coupling error in vertical plane is concerned. Then, a controller consisting of three parts which are a nominal feedforward control input, a LQR control input and a control input based on system uncertainties compensation is designed. At last, the robust stability of the designed controller is proved through a Lyapunov stability analysis. The simulation results demonstrate that the proposed controller is effective in tracking applications, which can provide a high resolution performance.
机译:本文提出了一种坚固的跟踪控制,具有用于微操纵器的离散时间线性二次调节(LQR)方法。微操纵器由三个压电致动器(豌豆)组成,这导致实现三维自由度运动。由于其无限小的位移分辨率和精度的优点,豌豆已被广泛用于生物医学的微手段。然而,拥有豌豆的非线性效应,主要是滞后,可以彻底降低跟踪控制精度。因此,期望开发先进的控制器以补偿滞后效果以改善轨迹跟踪性能。在控制器设计之前,涉及垂直平面中运动耦合误差的补偿。然后,设计了一种由作为标称前馈控制输入,LQR控制输入和基于系统不确定性补偿的控制输入组成的控制器。最后,通过Lyapunov稳定性分析证明了设计控制器的鲁棒稳定性。仿真结果表明,所提出的控制器在跟踪应用中有效,可以提供高分辨率性能。

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