Abstract—With the improvement of people's living standards, elderly people with mobility difficulties or people with disabilities due to some reasons need an intelligent control wheelchair that integrates drive control and human health status detection system. Based on embedded STM32 hybrid drive system of the intelligent wheelchair, STM32F103ZET6 on embedded microcontroller as the control core, comprehensive electronic, electrical and mechanical, such as sensing, communication, and the simulation technology, to control, driving, obstacle avoidance, positioning, GPS/GSM function module in the form of structures, such as circuit, using PWM technology, PID algorithm and software programming, can realize to precisely control the driving wheel; At the same time, the system makes use of the high precision characteristics of the main controller to realize the accurate detection of human temperature, blood pressure and heartbeat. The Hybrid Smart Wheelchair can be operated manually or automatically, and can monitor important indicators of human health in real time. The test results show that the drive control system and the human health testing system can reach the preset indexes, and it has the advantages of safety, reliability, complete function, flexibility and stability compared with similar products. Hybrid driven intelligent wheelchair has broad market prospect and high research and development and application value.
Index Terms—STM32, intelligent wheelchair, drive control system, human, health detection system.
Deng Baoqing and Wu Delin are with Electronic Technology, Guangzhou University of Science and Technology, Guangzhou, Guangdong, China (e-mail: 809084003@qq.com, 329619551@qq.com). Gong Fan is with Automatic Control, Guangzhou University of Science and Technology, Guangzhou, Guangdong, China (e-mail: 453687893@qq.com). Wang Yushu is with China Railway Construction Commercial Factoring Co., Ltd., China (e-mail: 994024541@qq.com).
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Cite:Deng Baoqing, Wu Delin, Gong Fan, and Wang Yushu , "Research and Development of Intelligent Wheelchair Hybrid Drive System," International Journal of Computer Theory and Engineering vol. 14, no. 1, pp. 39-47, 2022.
Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
