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Intelligent phase plane switching control of pneumatic artificial muscle manipulators with magneto-rheological brake

机译:带有磁流变制动器的气动人工肌肉机械手的智能相平面切换控制

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摘要

The pneumatic artificial muscle (PAM) is undoubtedly the most promising artificial muscle for the actuation of new types of industrial robots such as rubber actuator and PAM manipulators because it provides these advantages such as high strength and high power/ weight ratio, low cost, compactness, ease of maintenance, cleanliness, readily available and cheap power source, inherent safety and mobility assistance to humans performing tasks. However, some limitations still exist, such as the air compressibility and the lack of damping ability of the actuator bring the dynamic delay of the pressure response and cause the oscillatory motion. In addition, the non-linearities in the PAM manipulator still limit the controllability. Therefore, it is not easy to realize motion with high accuracy and high speed and with respect to various external inertia loads in order to realize a human-friendly therapy robot. To overcome these problems a novel controller which harmonizes a phase plane switching control method (PPSC) with conventional PID controller and the adaptabilities of neural network, is newly proposed. In order to realize satisfactory control performance a variable damper, magneto-rheological brake (MRB), is equipped to the joint of the manipulator. Superb mixture of conventional PID controller and an intelligent phase plane switching control using neural network (IPPSC) brings us a novel controller. The experiments were carried out in practical PAM manipulator and the effectiveness of the proposed control algorithm was demonstrated through experiments, which had proved that the stability of the manipulator can be improved greatly in a high gain control by using MRB with IPPSC and without regard for the changes of external inertia loads.
机译:气动人造肌肉(PAM)无疑是用于驱动新型工业机器人(如橡胶致动器和PAM机械手)的最有希望的人造肌肉,因为它具有诸如高强度和高功率/重量比,低成本,紧凑性的优点。 ,易于维护,清洁,随时可用且廉价的电源,对执行任务的人员的固有安全性和移动性帮助。但是,仍然存在一些局限性,例如空气可压缩性和致动器的阻尼能力不足,这会导致压力响应的动态延迟并引起振荡运动。另外,PAM机械手中的非线性仍然限制了可控性。因此,为了实现人类友好的治疗机器人,要实现高精度,高速度且针对各种外部惯性负载的运动并不容易。为了克服这些问题,最近提出了一种新颖的控制器,其使相平面切换控制方法(PPSC)与常规的PID控制器和神经网络的适应性相协调。为了实现令人满意的控制性能,在机械手的关节处装有可变阻尼器,即磁流变制动器(MRB)。常规PID控制器和使用神经网络(IPPSC)进行的智能相平面切换控制的完美混合为我们带来了一种新颖的控制器。在实际的PAM操纵器上进行了实验,通过实验证明了所提控制算法的有效性,证明了结合IPPSC使用MRB的高增益控制可以大大改善操纵器的稳定性。外部惯性负载的变化。

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