Temperature Control System of Quantum Entanglement Source Based on CHPSO Algorithm
In order to improve the performance of quantum communication band entanglement source system,a temperature control system based on competitive hybrid particle swarm optimization(HPSO)is designed and implemented.The temperature control sys-tem mainly controls the temperature of nonlinear crystals.The temperature control system proposed in this paper combines the CHP-SO algorithm with the proportional-integral-differential(PID)control algorithm,which can effectively reduce the overshoot of the temperature control system and improve the response speed of the system.The results show that the optimization results of the sys-tem in parameter tuning are closer to the global optimal than genetic algorithm(GA),particle swarm optimization(PSO)and hybrid particle swarm optimization(HPSO),the overshoot is reduced by 95.2%,89.1%and 80.8%,and the adjustment time is reduced by 76.5%,19.7%and 8.0%,respectively,to only 0.034 5 s,and the multiple operation deviation is smaller and more robust,which has important applications in temperature control and other fields.
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