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A new method of signal processing of photoelectric encoder in visual optical robot with multi-phalanges

机译:一种新型光电编码器与多蝶阀的光电编码器的新方法

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The application of photoelectric encoder in visual optical robot system with multi-phalanges was introduced, a new method of incremental photoelectric encoder signal processing was put forward, a high-precision visual optical robot system with multi-phalanges was made. The basic principle of this new method is to use FPGA instead of traditional complex processing circuit, reconstruct the encoder signal waveform with self-adaptive voting method; then 4 times frequency subdivide the reconstructed signal, finally, realize the direct- identification and pulse count basing on A and B signal phase. The experiment results show that, the servo motors in the robot have a fastest speed of 4500 RPM, the photoelectric encoders output 10000 A, B signal pulse per turn, noise interference exists obviously when motors work. With this method, get the encoder signal processing circuit simplified, the power consumption reduced, the system anti-interference ability improved, and realized the direct-identification and accurate pulse count, meet the high-precision robot pose identification requirements.
机译:介绍了使用多角色的光电编码器在视觉光学机器人系统中的应用,提出了一种增量光电编码信号处理的新方法,进行了一种具有多角色的高精度视觉机器人系统。这种新方法的基本原理是使用FPGA而不是传统的复杂处理电路,用自适应投票方法重建编码器信号波形;然后,4次频率细分重建信号,最后,实现了基于A和B信号相位的直接识别和脉冲计数。实验结果表明,机器人中的伺服电机具有最快的4500 rpm的速度,光电编码器输出10000a,每转的发信号脉冲,当电机工作时,噪声干扰显然存在。采用这种方法,获取编码器信号处理电路简化,功耗降低,系统抗干扰能力提高,实现了直接识别和精确的脉冲计数,满足了高精度机器人的识别要求。

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