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首页> 外文期刊>Mechatronics: The Science of Intelligent Machines >Control of pneumatic artificial muscle system through experimental modelling
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Control of pneumatic artificial muscle system through experimental modelling

机译:通过实验模型控制气动人工肌肉系统

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摘要

This paper deals with position control of a single degree of freedom (sdof) manipulator actuated by Pneumatic Artificial Muscle (PAM) actuator. Though the compliance characteristics of these actuators are desirable, their inherent non-linearities due to compressibility of air and non-linear load-contraction characteristics make them difficult to model and design of controller becomes very complex. To overcome this, a novel method is hereby proposed to establish an accurate empirical model for the system. The quasi-static characteristics of the PAM are first modelled followed by the dynamic characteristics through spectral analysis. For cost competitiveness, the present work incorporates inexpensive on-off switching valves operated using a novel model based proportional pressure regulator developed using a modified PWM algorithm. Finally, a conventional PID position controller is extended using the empirical PAM model and an inner pressure regulation loop to achieve trajectory tracking of a sdof manipulator. Results for pressure regulation and position control confirm the effectiveness of the adopted approach in achieving performance comparable to the state-of-the-art results at a reduced control complexity and total set-up cost.
机译:本文研究由气动人工肌肉(PAM)执行器驱动的单自由度(sdof)机械手的位置控制。尽管这些致动器的柔顺特性是理想的,但是由于空气的可压缩性和非线性的负载收缩特性,它们固有的非线性特性使它们难以建模,并且控制器的设计变得非常复杂。为了克服这个问题,在此提出了一种新颖的方法来为系统建立准确的经验模型。首先对PAM的准静态特性建模,然后通过频谱分析对动态特性建模。为了提高成本竞争力,本工作采用了廉价的开关阀,该开关阀使用一种基于新型模型的比例压力调节器进行操作,该新型压力调节器是使用改进的PWM算法开发的。最后,使用经验PAM模型和内部压力调节回路扩展了传统的PID位置控制器,以实现sdof机械手的轨迹跟踪。压力调节和位置控制的结果证实了所采用方法在以较低的控制复杂度和总安装成本降低了性能的同时,可达到与最新技术水平相当的性能。

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