Experimental and Simulation Research on Control Strategy Optimization of Airborne Radar Liquid Cooling System

In the airborne environment, radar electronic systems feature diverse operation modes and complex working conditions, which impose stringent requirements on the temperature control accuracy of the cold plate liquid cooling system. The operational stability of radar chips is directly determined by the inlet temperature of the cold plate; thus, optimizing both the structure and control strategy of the liquid cooling system is crucial to ensuring their reliable operation under airborne working conditions. In this paper, a simulation platform for the airborne radar liquid cooling system is constructed based on MATLAB/Simulink (R2023a), on which system-level design and simulation research are carried out under dynamic working conditions. After verifying the model effectiveness through experiments, a comparative analysis of the temperature control performance between feedback control and fuzzy control is conducted. Simulation and experimental verification results demonstrate that under the working conditions with coupled variations in the ambient environment and power, fuzzy control achieves a maximum temperature overshoot of merely 0.14 °C with an overshoot time of 1 s, which is significantly superior to feedback control, whose maximum temperature overshoot and overshoot time reach 6.6 °C and 4 s, respectively. This study realizes the precise and stable control of the cold plate inlet temperature and provides a feasible solution for the thermal management design of airborne liquid cooling systems and their similar counterparts.