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Aiming at the problems existing in traditional PID parameter tuning, combined with the good search performance of Chaos Sooty Tern Optimization Algorithm (CSTOA), a PID control method for aero-engine parameter self-tuning based on Chaos Sooty Tern Optimization Algorithm (CSTOA) is proposed. (CSTOA-PID). Firstly, the Sooty Tern Optimization Algorithm (STOA) is improved by introducing the idea of chaotic mapping. Then, the fitness function weighted by the performance index is designed to avoid the phenomenon of extreme overshoot and sharp fuel supply of the engine fuel supply. Finally, the mathematical model of a certain turbofan engine is simulated and verified, and the results show that: in the ground state, the PID parameters optimized by the CSTOA-PID controller are 4.31878, 14, and 0.214426, respectively. The parameter tuning effect of the CSTOA-PID controller is better than that of the STOA-PID controller and the PID controller, the speed step response is rapid, and the overshoot of the fuel supply is minimal, which proves the effectiveness and feasibility of the method.