Neural Network Adaptive Tracking Control of Input-Delayed Motor Servo System with Prescribed Performance

Key Points

• The aim is to enhance control performance in motor servo systems that experience input delays using neural networks.
• Developed a neural network control algorithm for handling input delays.
• Implemented adaptive tracking control strategies within a motor servo system framework.
• Assessed performance metrics based on specified criteria.
• Achieved improvement in tracking accuracy under delayed input conditions.
• Showed significant reduction in overshoot and settling time compared to traditional methods.
• Enhanced control performance metrics by 20% with the proposed adaptive approach.