Predictive Control

Integrated with data-driven MPC, the system offers customizable solutions for various industrial applications, adaptive setpoint calculations for multi-loop control, rich interface compatibility with mainstream protocols, and seamless integration with existing systems, making it ideal for adaptive real-time control in fields like injection molding, power generation, and manufacturing.

Developed predictive control strategies for electric vehicle thermal management, covering cooling, heating, dehumidification, and defrosting modes. Utilized MATLAB, Simulink, and Dymola for system modeling and validation, with HIL testing for real-time application. Collaborated with Shanghai Songzhi to create China’s first climate wind tunnel, achieving wind speed stability ±0.5 kph and temperature stability ±0.2°C.

Focused on energy optimization in large-scale industrial systems, achieving a temperature qualification rate increase from 60% to 85% and product yield growth from 180 to 210 tons/hour in heavy plate cooling. Enhanced light oil yield in petrochemical systems by 0.49%, reducing energy consumption to under 70 kg of standard coal per ton. Improved system stability, energy efficiency, and diagnostics to minimize wastage and optimize process control.

Designed an embedded predictive control framework integrating FPGA for high-speed processing and DSP with dual neural networks for real-time control in medium-scale systems. Achieved high computational efficiency, parallel processing, and adaptability for injection molding, air separation, and photovoltaic systems, with multi-loop optimization and adaptive setpoint calculations.

Noval MPC design and Project Implementation in various industrial fiels, including Air Separation system,Injection Molding system, PV Inverter system and Boiler Combustion system

The lab’s self-funded project aimed to enhance robot-environment interaction by developing hardware platforms and control algorithms for rigid-soft hybrid robots. An input mapping module was introduced in the visual servoing system to mitigate disturbances and improve response speed.