Genetic Algorithm-Optimized Diode-Based Temperature Control Actuation System

The temperature control of silicon diodes as actuators was studied from both theoretical and experimental perspectives. Genetic algorithms were employed to optimize diode distributions for effective temperature regulation. Temperature fluctuations can significantly affect the performance of high-precision electronic equipment, necessitating robust temperature control methods. By integrating series diodes into the temperature control system alongside the traditional proportional-integral-differential (PID) control mode, precise regulation of high-precision component temperatures in power supplies was achieved. The diodes’ minimal voltage variation ensures linear power and current characteristics, enabling effective temperature rise control through current adjustments and mitigating temperature overshoot issues. Diodes also offer advantages such as ease of installation and high safety margins against open circuits. Simulation-validated optimization of diode positions using genetic algorithms demonstrated their effectiveness in achieving optimal configurations through selection, crossover, and mutation operations. This approach not only reduces the number of diodes but also meets diverse temperature control requirements, enhancing system responsiveness and power output stability. The study underscores the potential of diodes as temperature control actuators, particularly in regulating high-precision power components in power supplies.