首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering >Takagi–Sugeno fuzzy modelling and parallel distributed compensation control of conducting polymer actuators
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Takagi–Sugeno fuzzy modelling and parallel distributed compensation control of conducting polymer actuators

机译:Takagi–Sugeno模糊建模和导电聚合物执行器的并行分布补偿控制

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摘要

Conducting polymer actuators are used in a diverse range of applications including biomimetic robots and biomedical devices. In comparison to robotic joints, they do not have friction or backlash, but on the other hand, they have complicated electro-chemo-mechanical dynamics which makes modelling and control of the actuator really difficult. In addition they also have the disadvantages of creep, hysteresis, and highly uncertain and time-varying dynamics. In this paper a Takagi–Sugeno (T–S) fuzzy model is used to represent the uncertain dynamics of the actuator, and the resulted fuzzy model is validated using experimental data. A system that consists of fuzzy state feedback to a PI controller is designed on the basis of the obtained T–S fuzzy model using the parallel distributed compensation scheme. The sufficient conditions for the existence of such a controller are derived in terms of linear matrix inequalities. The obtained results show that the designed controller can achieve a good control performance despite the existence of uncertain actuator dynamics.
机译:导电聚合物致动器可用于多种应用,包括仿生机器人和生物医学设备。与机器人关节相比,它们没有摩擦或反冲,但另一方面,它们具有复杂的电化学机械动力学,这使得执行器的建模和控制非常困难。此外,它们还具有蠕变,滞后以及高度不确定和时变动力学的缺点。在本文中,使用Takagi–Sugeno(TS)模糊模型来表示执行器的不确定性动力学,并使用实验数据验证所得的模糊模型。在获得的TS模糊模型的基础上,采用并行分布补偿方案,设计了一个由模糊状态反馈至PI控制器的系统。根据线性矩阵不等式得出存在这种控制器的充分条件。所得结果表明,尽管存在不确定的执行机构动力学特性,但设计的控制器仍可实现良好的控制性能。

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