Shi Yong, Yu Zhihao, Yan Rui, Wang Hui, Yang Junqing, Huai Ruituo
College of Electrical and Automation Engineering, Shandong University of Science and Technology, Qingdao, Shandong 266510, P. R. China.
College of Energy Storage Technology, Shandong University of Science and Technology, Qingdao, Shandong 266510, P. R. China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2022 Oct 25;39(5):974-981. doi: 10.7507/1001-5515.202109020.
Power supply plays a key role in ensuring animal robots to obtain effective stimulation. To extending the stimulating time, there is a need to apply photovoltaic cells and monitor their parameter variations, which can help operators to obtain the optimal stimulation strategy. In this paper, an online monitoring system of photovoltaic cells for animal robot stimulators was presented. It was composed of battery information sampling circuit, multi-channel neural signal generator, power module and human-computer interaction interface. When the signal generator was working, remote navigation control of animal robot could be achieved, and the battery voltage, current, temperature and electricity information was collected through the battery information sampling circuit and displayed on the human-computer interaction system in real time. If there was any abnormal status, alarm would be activated. The battery parameters were obtained by charging and discharging test. The battery life under different light intensity and the stimulation effect of neural signal generator were tested. Results showed that the sampling errors of battery voltage, current and electric quantity were less than 15 mV, 5 mA and 6 mAh, respectively. Compared with the system without photovoltaic cells, the battery life was extended by 148% at the light intensity of 78 320 lx, solving the battery life problem to some extent. When animal robot was stimulated with this system, left and right turns could be controlled to complete with the success rate more than 80%. It will help researchers to optimize animal robot control strategies through the parameters obtained in this system.
电源在确保动物机器人获得有效刺激方面起着关键作用。为了延长刺激时间，需要应用光伏电池并监测其参数变化，这有助于操作人员获得最佳刺激策略。本文提出了一种用于动物机器人刺激器的光伏电池在线监测系统。它由电池信息采样电路、多通道神经信号发生器、电源模块和人机交互界面组成。当信号发生器工作时，可以实现动物机器人的远程导航控制，通过电池信息采样电路采集电池电压、电流、温度和电量信息，并实时显示在人机交互系统上。如果出现任何异常状态，将激活警报。通过充放电测试获得电池参数。测试了不同光照强度下的电池寿命以及神经信号发生器的刺激效果。结果表明，电池电压、电流和电量的采样误差分别小于15 mV、5 mA和6 mAh。与没有光伏电池的系统相比，在光照强度为78 320 lx时，电池寿命延长了148%，在一定程度上解决了电池寿命问题。当用该系统刺激动物机器人时，可以控制其左右转向，成功率超过80%。这将有助于研究人员通过该系统获得的参数优化动物机器人控制策略。
