Calculation and Optimization of Electric Helicopter Flight Performance Based on Particle Swarm Algorithm

As energy issues become increasingly prominent, the electrification of aviation aircraft has gradually become a research hotspot, and electric helicopters are also in a stage of rapid development. Based on the flight performance analysis method of fuel-powered helicopters and combined with the characteristics of electric power system, this paper proposes a calculation method for the flight performance of electric helicopters and establishes an analysis model. This model can demonstrate the performance of electric helicopters in three aspects: vertical flight, climbing flight and horizontal flight. Then, the particle swarm optimization (PSO) algorithm is used to optimize the overall flight performance of the helicopter. It can allocate weights reasonably according to design requirements and selectively optimize key performance indicators. The results show that the adopted optimization algorithm has good effect and applicability to the overall parameters optimization problem of electric helicopters.