Abstract
With the advantages of low carbon, environmental protection, low noise, comfort, electric aircraft represent the development direction of advanced aircraft technology. To improve the dynamic characteristics of the permanent magnet synchronous motor(PMSM) control system in electric propulsion technology for electric aircraft, the structure of the dual closed-loop vector control system for permanent magnet synchronous motors is investigated, and the system dual closed-loop controller parameters are optimized using an improved genetic algorithm by designing the time-multiplied absolute value integral of error(ITAE) performance index as the fitness function of the genetic algorithm(GA). Simulation and experimental results prove that the scheme converges faster than the conventional double closed-loop controller when the motor is disturbed, which can effectively improve the performance and anti-disturbance capability of the motor control system and provide some reference for the optimal design of future electric propulsion system controllers for electric aircraft.
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