Feedback Delay of Sports Intelligent Learning System Based on Model Predictive Control

Area of Science:

• Control Systems Engineering
• Sports Science and Education

Background:

• Traditional sports education often has shortcomings that intelligent learning systems can address.
• Vehicle trajectory tracking requires advanced control strategies for stability and accuracy.

Purpose of the Study:

• To develop a trajectory tracking controller using model predictive control for enhanced vehicle stability.
• To investigate the effectiveness of intelligent learning systems in improving physical education for students' holistic development.

Main Methods:

• Implemented a linear time-varying model predictive controller with a six degrees of freedom dynamic model and tire model.
• Utilized wearable sensors and a ZigBee network for human data collection and processing.
• Designed a diverse movement model incorporating various educational strategies and multidimensional evaluation for physical education.

Main Results:

• Achieved stable trajectory tracking through the developed control algorithm and soft constraint implementation.
• Intelligent learning systems in sports demonstrated suitability for modern students' diverse intelligences and learning preferences.
• Students reported learning more methods and content, and accepted diversified teaching evaluations.

Conclusions:

• The developed model predictive control approach effectively achieves trajectory tracking and ensures stability.
• Intelligent learning systems offer a superior alternative to traditional physical education, fostering comprehensive student development and expanding learning horizons.