In order to improve the transient performance of turbofan engine and provide limit protection, min-max fuel selection strategy is often used.The complex part of this strategy is the tuning process of controller gain.A controller gain tuning method based on Particle Swarm Optimization (PSO) is proposed.The tuning process of the gain parameters of the min-max fuel selection controller is transformed into a numerical optimization problem.The main objects of optimization are the gain parameters of the transient state controller and the limit protection controller.In this numerical optimization problem, the objective function is designed as the sum of weighted transient response time and weighted fuel consumption.The simulation results show that the proposed method not only improves the response speed of transient state, but also provides limit protection, which prove the effectiveness and superiority of the method.Besides, the effect of the weighting coefficient in the objective function on the engine response time and fuel consumption is analyzed, and the balance diagram between the three factors is drawn,which can serve as a reference when selecting the weighting coefficient in the design of engine.