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In order to improve the thrust density of the electric actuator in aircraft, a double primary tubular permanent magnet synchronous linear motor is designed. By establishing the magnetic circuit model, the air gap magnetic density and thrust characteristics of outer and inner primary motors are analyzed. Considering that it works in the wide temperature range environment, a multi-objective optimization of motor is carried out. The surrogate model established by neural network is used to simplify the mathematical model of the motor. In order to improve the average thrust, restrain the thrust fluctuation and reduce the difference of output thrust under different environment temperatures, the Pareto front method is used to determine the target range of the optimal parameters, and gradually strengthen conditions, so as to obtain the optimal scheme of motor design.

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