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Robust Sliding Mode Control for Robots Driven by Compliant Actuators

机译:由兼容执行器驱动的机器人的强大滑动模式控制

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Compliant actuators can offer many attractive features over stiff actuators in real human-robot interaction applications, such as low output impedance, smooth force transmission, and shock tolerance. This brief focuses on a robust sliding mode control (SMC) methodology for robotic systems with compliant actuators. First, a continuous SMC design is introduced due to its advantages of strong robustness and chattering attenuation. However, this continuous SMC structure cannot guarantee a high tracking performance in the presence of mismatched disturbances in compliantly actuated robots. Meanwhile, in many application fields, compliantly actuated robots are affected by different kinds of time-varying disturbances, including external environmental disturbances, internal parameter uncertainties, and frictions, which may be in the form of constant, ramp, and parabolic disturbances. To estimate such unknown disturbances, a generalized proportional integral observer (GPIO) technique is employed. By designing a new sliding surface with the help of disturbance estimation, a GPIO-based continuous SMC method is synthesized, which is used to deal with matched/mismatched time-varying disturbances. A detailed stability analysis of the closed-loop system is also presented. Experimental results under three different test conditions are provided to illustrate the promising tracking performance of the proposed control strategy.
机译:兼容的执行器可以在真实的人机交互应用中提供许多有吸引力的特征,例如低输出阻抗,平滑的力传递和震动容差。此简要介绍了具有兼容执行器的机器人系统的强大滑动模式控制(SMC)方法。首先,由于其强大稳健性和抖动衰减的优点,引入了连续的SMC设计。然而,这种连续的SMC结构不能保证在符合方案致动机器人的不匹配干扰存在下的高跟踪性能。同时,在许多应用领域中,符合致动的机器人受不同的时变紊乱的影响,包括外部环境干扰,内部参数不确定性和摩擦,这可能是恒定,斜坡和抛物线的形式。为了估计这种未知的干扰,采用广义比例积分观察者(GPIO)技术。通过在扰动估计的帮助下设计新的滑动表面,合成了一种基于GPIO的连续SMC方法,用于处理匹配/错配的时变扰动。还提出了对闭环系统的详细稳定性分析。提供了在三种不同的测试条件下的实验结果,以说明所提出的控制策略的有前途的跟踪性能。

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