基于改进粒子群优化算法的飞机作动系统功率调度

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。

Power dispatch of actuator of aircraft based on improved particle swarm optimization algorithm

In view of the large amount of electric energy waste caused by the small system load of aircraft electromechanical actuator, an electromechanical actuator system is designed. In order to make the system work in the near optimal efficiency, according to the nonlinear relationship between motor efficiency and load factor, a mathematical power dispatch model is also established. An improved basic particle swarm optimization algorithm and an improved binary particle swarm optimization algorithm are proposed, which has better global optimization ability and faster convergence speed. The proposed method takes the improved binary particle swarm optimization for outer unit combination and improved basic particle swarm optimization algorithm for inner economic load dispatch．The minimum number of running system was used to deal with power balance constraints，which simplifies the operation; in order to solve the spare constraint, a priority table of the system was established, which effectively improves the capability of optimization．The results of simulation experiment show that the improved particle swarm optimization algorithm is effective for power dispatch of electromechanical actuator and it is conducive to the energy optimization of aircraft.