Development of hardware neural networks generating driving waveform for electrostatic actuator

Sasaki, Takahiro; Kurosawa, Mika; Ohara, Masaya; Yuki, Hideaki; Noguchi, Daisuke; Takei, Yoshiko; Kaneko, Makoto; Uchikoba, Fumio; Saito, Ken

doi:10.1007/s10015-020-00608-4

Cited by 1 publication

(2 citation statements)

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“…4. using HSPICE simulations [12]. However, the fabricated neural networks chip's measured results could not perform the two-phase anti-phase synchronized waveform.…”

Section: Previous Neural Network Chipmentioning

confidence: 99%

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Development of neural networks chip generating driving waveform for electrostatic motor

Sasaki

Kurosawa

Usami

et al. 2021

Artif Life Robotics

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The authors are studying hardware neural networks (HNN) to control the locomotion of the microrobot. The neural networks chip is the integrated circuit chip of the HNN. We proposed the electrostatic motor that is the new actuator of the microrobot in our previous research. The electrostatic motor used the waveform generator to generate the driving waveform. In this paper, the authors will propose the driving circuit using neural networks chip. The cell body model is the basic component of the neural networks chip that outputs 3 MHz frequency of electrical oscillated pulse waveform. Therefore, large capacitors need to connect outside of the neural networks chip to generate the low-frequency driving waveform. The proposal neural networks chip generates a long delay without using large capacitors. In addition, the neural networks chip generated a two-phase anti-phase synchronized waveform by incorporating a mechanism for adjusting synaptic weight. As a result, the proposal neural networks chip can generate the electrostatic motor’s driving waveform with variable frequency. The frequency of the driving waveform could vary from 40 to 126 Hz.

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“…4. using HSPICE simulations [12]. However, the fabricated neural networks chip's measured results could not perform the two-phase anti-phase synchronized waveform.…”

Section: Previous Neural Network Chipmentioning

confidence: 99%

“…A waveform generator has been used to generate the driving waveform of the electrostatic motor. Therefore, we proposed HNN to generate the driving waveform of the electrostatic motor to miniaturize the microrobot system [12]. In the simulation result, the HNN generated the driving waveform of the electrostatic motor.…”

Section: Introductionmentioning

confidence: 99%