Physical Education Departmentof Shandong University (Weihai), Shandong, Weihai 264209, China.
Comput Intell Neurosci. 2022 May 31;2022:5939421. doi: 10.1155/2022/5939421. eCollection 2022.
In this paper, a trajectory tracking controller based on linear time-varying model prediction is developed, and the model predictive control theory based on the six degrees of freedom dynamic model and tire model is applied. Combined with the soft constraint of turning angle and the control algorithm to ensure the stability, the trajectory tracking is realized. The terminal node is a wearable device. The terminal node is equipped with a pressure sensor and attitude sensor network to collect human data, and then the terminal node sends the data to the ZigBee network. The data in the sensor network will be received by the gateway, and the data will be processed and displayed on the PC software after being received by the gateway. Finally, the data is saved to the remote server for archiving. The application of intelligent learning systems in sports makes up for many shortcomings of traditional sports. The teaching of the course consists of seven types of intelligent courses, which not only conform to the spirit of high-quality education but also combine the shortcomings of traditional physical education learning and combines several intelligent theories and the need for time development. The purpose is to develop a new sports model suitable for students' all-round development. Under the guidance of the theory of intelligent learning system, this paper establishes a new and diverse movement model, including various educational models, educational contents, educational methods, student-based learning model, and multidimensional evaluation. By comparing and analyzing the results of the two groups, the multiple intelligences physical education is more suitable for the development of modern students' various intelligences. According to the physical education learning questionnaire, students also learn more methods and contents and accept diversified teaching evaluation, which expands the development direction of students.
本文开发了一种基于线性时变模型预测的轨迹跟踪控制器，并应用了基于六自由度动力学模型和轮胎模型的模型预测控制理论。结合转弯角度的软约束和保证稳定性的控制算法，实现了轨迹跟踪。终端节点是一个可穿戴设备。终端节点配备有压力传感器和姿态传感器网络，用于收集人体数据，然后终端节点将数据发送到 ZigBee 网络。传感器网络中的数据将被网关接收，数据在网关接收后将在 PC 软件上进行处理和显示。最后，数据将保存到远程服务器进行存档。智能学习系统在运动中的应用弥补了传统运动的许多不足。本课程的教学由七种智能课程组成，不仅符合素质教育的精神，而且结合了传统体育学习的缺点，并结合了几种智能理论和时间发展的需要。目的是开发一种适合学生全面发展的新型运动模式。在智能学习系统理论的指导下，本文建立了一种新的、多样化的运动模式，包括各种教育模式、教育内容、教育方法、以学生为基础的学习模式和多维评价。通过对两组结果的比较分析，发现多元智能体育更适合现代学生各种智能的发展。根据体育学习问卷，学生还学习了更多的方法和内容，并接受了多样化的教学评价，这扩大了学生的发展方向。
