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Implementation of a haptic musical instrument using multi-signal fusion for force sensing without additional force sensors

机译:使用多信号融合实现触觉乐器的力感测,无需额外的力传感器

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This paper describes the implementation of a haptic system for simulating the force-feedback of a centuries-old musical instrument, the carillon. A carillonneur's performance depends on a developing familiarity with force-feedback associated with a particular instrument. Force-feedback may vary not only across the range of the instrument but from one instrument to another. However, carillonneurs have restricted access to their instrument for rehearsal, unlike musicians who specialise in other instruments. At best, rehearsal times on the actual instrument are shared with other carillonneurs; at worst, a carilloneur rehearses mainly on a practice instrument that does not prepare them for the force-feedback and sonic characteristics of the actual instrument. A haptic device that simulates the force-feedback of a carillon must meet exacting requirements associated with musical performance and musical skill acquisition. Our haptic device uses a voice-coil linear actuator in a position-control loop where the force applied by a carillonneur is measured by analysing the noisy current produced from an analog servo controller reacting to position error. A parametised model of the servo is determined using system identification methods and forms the basis of a Kalman filter for the servo current signal, closing an admittance display loop around carillonneur-applied forces and the mechanical action of the instrument simulated in a virtual environment. This generalised method is particularly applicable to scenarios common in creative applications where hardware is ‘handed-down’ from other projects.
机译:本文介绍了用于模拟百年历史的乐器钟琴的力反馈的触觉系统的实现。钟琴匠的表现取决于对与特定乐器相关的力反馈的熟悉程度。力反馈不仅会在整个仪器范围内变化,而且会在一种仪器之间变化。但是,钟琴演奏家限制了他们进行乐器排练的机会,这与专门研究其他乐器的音乐家不同。充其量,实际乐器上的排练时间与其他钟琴演奏家共享。最糟糕的是,一名钟琴匠主要是在练习乐器上进行排练,而练习乐器并未为实际乐器的力反馈和声音特性做准备。模拟钟琴的力反馈的触觉设备必须满足与音乐演奏和音乐技能获取相关的严格要求。我们的触觉设备在位置控制回路中使用了音圈线性致动器,其中通过分析模拟伺服控制器对位置误差产生的噪声电流来测量钟琴神经所施加的力。伺服的参数化模型是使用系统识别方法确定的,并形成用于伺服电流信号的卡尔曼滤波器的基础,闭合了围绕钟琴陀施加力的导纳显示回路以及在虚拟环境中模拟的仪器的机械作用。这种通用方法尤其适用于创意应用程序中常见的场景,在这些场景中,硬件是从其他项目“移交”的。

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