Research and application of photovoltaic cell online monitoring system for animal robot stimulator.
10.7507/1001-5515.202109020
- Author:
Yong SHI
1
;
Zhihao YU
2
;
Rui YAN
1
;
Hui WANG
1
;
Junqing YANG
1
;
Ruituo HUAI
1
Author Information
1. College of Electrical and Automation Engineering, Shandong University of Science and Technology, Qingdao, Shandong 266510, P. R. China.
2. College of Energy Storage Technology, Shandong University of Science and Technology, Qingdao, Shandong 266510, P. R. China.
- Publication Type:Journal Article
- Keywords:
Animal robot;
Online monitoring system;
Photovoltaic cell
- MeSH:
Animals;
Humans;
Robotics;
Electric Power Supplies;
Electricity;
User-Computer Interface
- From:
Journal of Biomedical Engineering
2022;39(5):974-981
- CountryChina
- Language:Chinese
-
Abstract:
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.
