Research on control algorithm of small free piston Stirling cryocooler based on modified AVOA
A fuzzy PID control algorithm based on the modified African vulture optimization algorithm was proposed to solve the problems of complex modeling and vulnerability to ambient temperature and thermal load in the temperature control system of the small free piston Stirling cryocooler.A closed-loop control system is constructed by adding the hysteresis bias relay to the temperature control system.the mathematical model of a 10 W@77 K small free piston Stirling cryocooler is identified,and the simulation experiment is focused on the fuzzy PID control algo-rithm based on the modified African vulture algorithm.Aiming at the problems of African vulture optimization algorithm,such as falling into local optimization and slow convergence speed,an mod-ified algorithm with multi-strategy integration is proposed.Tent chaos mapping is introduced to improve the initial individual diversity,and the sub-optimal vulture selection strategy is improved to strengthen the ability of the algorithm to escape from localized dilemma.Finally,the elite re-verse learning is used to further enhance the global search capability of the algorithm.The simula-tion results show that compared with PID algorithm,fuzzy PID algorithm and African vulture algo-rithm,the adjustment time of MAVOA is reduced by 79.69％,56.22％and 50.26％respective-ly,and the overshoot is reduced by 87.70％,59.81％and 60.38％respectively.When the square wave disturbance,white noise,pulse disturbance and sine wave disturbance are added,the overshoot rate of the control system is 2.61％,2.35％,2.44％and 2.49％,respectively.There-fore,compared with the conventional control algorithm,the fuzzy PID control algorithm based on the modified African vulture algorithm has the advantages of fast response speed,small overshoot,strong anti-interference and good stability.
Stirling cryocooleridentification of relay feedbackAfrican vulture optimization algorithmanti-interference property
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