Embedded Predictive Controllers
Embedded Predictive ControllersDesigned a systematic framework for embedded predictive controllers, integrating hardware and software solutions:
- Software: Provided debugging support through specialized tools for streamlined setup and adjustments.
- Hardware: Developed predictive controllers based on FPGA for high-speed parallel processing.
Utilized DSP with simple dual neural networks for real-time control in medium-scale systems.
Key Features:
- High real-time performance and computational efficiency.
- Parallel processing capabilities to handle complex industrial control tasks.
- Flexible and scalable, adaptable to various control scenarios.
Applications: Enhanced control of medium-scale systems such as injection molding, air separation, and photovoltaic systems.
Supported multi-loop constraint optimization with adaptive setpoint calculations.
Bihui JIN
Staff Engineer
Dewei LI
Professor | Lab Leader
Currently serves as the Director of the Technical Committee on Predictive Control and Intelligent Decision of Chinese Association of Automation, Member of the Control Theory and Applications Education Working Group, and Editorial Member of Control Engineering Practice. He has led over 20 national-level projects, including Key Projects, General Projects and International Cooperation Projects from NSFC, Key Research and Development Programs from MOST. He has also undertaken more than 20 commissioned projects from key enterprises.