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Generalized proportional integral observer-based composite control method for robotic thermal tactile sensor with disturbances

机译:具有干扰的机器人热触觉传感器的广义比例积分观测方法

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摘要

In this article, we discuss the temperature regulation problem of robotic thermal tactile system under unknown time-varying disturbances. In order to improve the disturbance rejection property of the thermal system, a composite controller is presented. First, a generalized proportional integral observer is introduced to estimate the system disturbances, which generally include model uncertainties and external disturbances. Second, a feedback control is designed using feedback linearization control technique. A composite temperature controller is obtained as a composition of feedback linearization-based controller plus feed-forward compensation based on generalized proportional integral observer. A rigorous analysis shows that the proposed scheme can enhance the disturbance rejection property of the thermal system. Simulation and experimental comparisons with two other control methods, that is, the composite control method with feedback linearization-based control plus feed-forward compensation based on disturbance observer and the proportional integral control method, are given to verify that the proposed method exhibits a much better disturbance rejection performance.
机译:在本文中,我们讨论了在未知的时变扰动下机器人热触觉系统的温度调节问题。为了改善热系统的扰动抑制性能,提出了一种复合控制器。首先,引入了广义比例积分观察者来估计系统干扰,这通常包括模型不确定性和外部干扰。其次,使用反馈线性化控制技术设计反馈控制。基于广义比例积分观测器获得基于反馈线性化的控制器加上前馈补偿的复合温度控制器。严格的分析表明,所提出的方案可以增强热系统的扰动抑制性能。用两种其他控制方法的模拟和实验比较,即基于干扰观察者的反馈线性化的控制加上前馈补偿的复合控制方法和比例积分控制方法,验证所提出的方法是否呈现更好的扰乱抑制性能。

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