1. Accurate load prediction and control
Load prediction: By using advanced algorithms such as multilayer perceptron networks to predict rolling force and motor load, the settings in the cold rolling process are automated and productivity is maximized.
Dynamic load adjustment: During the cold rolling process, the motor load is monitored and adjusted in real time to ensure stable operation of the motor under different working conditions.
2. Optimized speed control system
Dual closed-loop speed control system: The PI controller of the current loop and the speed loop is used to ensure that the motor can maintain a stable speed when the load changes through precise parameter setting.
Disturbance observer: The disturbance observer is introduced in the dual closed-loop control to improve the anti-disturbance performance of the system, especially when the load changes rapidly.
3. Intelligent control strategy
Adaptive control: Through adaptive control algorithms, such as forward slip rate adaptive control, the motor parameters are automatically adjusted according to the actual rolling conditions to ensure the stability and accuracy of the rolling process.
Neural network control: The self-learning and adaptive capabilities of neural networks are used to model and control the complex dynamic characteristics in the cold rolling process and improve the intelligence level of the system.
4. Advanced motor design
High dynamic performance: Design motors with high dynamic performance, which can respond quickly to load changes and reduce transition time.
High reliability: Use high-quality insulation materials and structural design to ensure long-term stable operation of motors under high load and frequent start/stop conditions.
5. Real-time monitoring and feedback
Sensor technology: Install high-precision sensors in the rolling mill system to monitor the motor's current, voltage, temperature and other parameters in real time, as well as key parameters such as rolling force and speed during rolling.
Feedback control: According to real-time monitoring data, the feedback control system timely adjusts the motor's operating status to ensure optimal performance under different loads.
6. System integration and optimization
Multi-motor collaborative control: In the cold rolling production line, multiple motors work together to achieve overall optimization through the central control system to ensure stable operation of the entire production line.
Energy management system: Through the energy management system, the energy consumption of the motor is optimized to ensure energy-saving operation under different loads.
