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针对驱动飞机舵面的机电作动系统在轻载工况下电能浪费量大的问题,提出了多机电作动系统的驱动方案,为保证系统在最优的效率点附近工作,根据电动机效率和负载率之间的非线性关系,建立其功率调度的数学模型。改进了二进制和基本粒子群优化算法,并将2种算法互相嵌套,分别对机电作动系统组合方式和负荷分配进行交替迭代来求模型最优解,全局寻优能力强、收敛速度快;把投入工作的机电作动系统最小序号值引入适应度函数,解决了功率平衡约束,简化了运算;针对备用约束,建立系统启停优先顺序,提高了优化能力。仿真实验表明,改进的粒子群优化算法对飞机机电作动系统的功率调度有效,有助于飞机的能量优化。
In view of the large amount of electric energy wasted in electromechanical actuation system that drives the rudder surface in light load condition, a driving scheme of multi-electromechanical actuation system is put forward. In order to ensure that the system works near the optimal efficiency point, according to the motor efficiency and Load rate of non-linear relationship between the establishment of its power scheduling mathematical model. The algorithm of binary and basic particle swarm optimization is improved, and the two algorithms are nested with each other. The optimal combination of the two algorithms is iteratively used to optimize the model. The global optimization ability and the convergence speed are fast. The minimum sequence number of the electromechanical actuation system put into work is introduced into the fitness function to solve the power balance constraint and simplify the operation. For the standby constraint, the order of priority of system start-up and stoppage is established and the optimization ability is improved. Simulation results show that the improved Particle Swarm Optimization (PSO) algorithm is effective for the power scheduling of aircraft electro-mechanical actuation system and contributes to the energy optimization of the aircraft.