基于改进粒子群优化算法的飞机作动系统功率调度

发布时间：2018-01-10 03:30

本文关键词：基于改进粒子群优化算法的飞机作动系统功率调度　出处：《北京航空航天大学学报》2016年10期 　论文类型：期刊论文

【摘要】：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。
[Abstract]:Aiming at the problem that the electromechanical actuation system of the rudder surface of the aircraft is wasteful of electric energy under the light load condition, the drive scheme of the multi-electromechanical actuation system is put forward to ensure that the system works near the optimal efficiency point. According to the nonlinear relationship between motor efficiency and load rate, the mathematical model of power scheduling is established. The binary and elementary particle swarm optimization algorithms are improved, and the two algorithms are nested together. The combination mode and load distribution of electromechanical actuation system are iterated alternately to find the optimal solution of the model. The global optimization ability is strong and the speed of convergence is fast. The minimum ordinal value of the electromechanical actuation system in operation is introduced into the fitness function, which solves the power balance constraint and simplifies the operation. Aiming at the reserve constraints, the system start and stop priority order is established, and the optimization ability is improved. The simulation results show that the improved particle swarm optimization algorithm is effective for the power scheduling of the aircraft electromechanical actuation system. It helps to optimize the energy of the aircraft.
【作者单位】：空军工程大学航空航天工程学院;
【分类号】：V242;TP18
【正文快照】： 网络出版地址:www.cnki.net/kcms/detail/11.2625.V.20160315.1431.005.html引用格式:石山,刘德鹏,李成茂.基于改进粒子群优化算法的飞机作动系统功率调度[J].北京航空航天大学学报,2016,42(10):2024-2030.SHI S,LIU D P,LI C M.Power dispatch of actuator of aircraft based

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