Event-Triggered Optimal Control for Temperature Field of Roller Kiln Based on Adaptive Dynamic Programming

Area of Science:

• Materials Science
• Chemical Engineering
• Control Systems Engineering

Background:

• Accurate temperature field control is vital for the performance of Ni-Co-Mn layered cathode materials in lithium-ion batteries.
• Distributed parameter systems described by partial differential equations (PDEs) present complex control challenges.

Purpose of the Study:

• To propose an event-triggered optimal control (ETOC) method for roller kiln temperature fields.
• To enhance the performance and stability of lithium-ion battery cathode material manufacturing.

Main Methods:

• Formulation of the event-triggered control problem within the framework of PDE systems.
• Design of an event-triggered condition based on closed-loop PDE system stability.
• Application of adaptive dynamic programming (ADP) with a critic network to approximate the optimal value function.

Main Results:

• The proposed ETOC method effectively controls the temperature field in a roller kiln.
• The event-triggered condition guarantees the upper bound of the performance index.
• Stability analysis confirms the effectiveness of the impulsive dynamic system combined with ADP-based control.

Conclusions:

• The developed ETOC method based on ADP is effective for precise temperature control in manufacturing critical lithium-ion battery components.
• The approach offers a robust solution for complex PDE systems with simultaneous flow and jump dynamics.
• Simulation results validate the practical applicability and performance of the proposed control strategy.