应用改进粒子群算法的涡轴发动机性能寻优  

Performance Seeking of Turbo-Shaft Engines Based on Improved Particle Swarm Optimization Algorithm

作　　者：刘楠[1] 黄金泉[1] 

机构地区：[1]南京航空航天大学能源与动力学院,南京210016

出　　处：《南京航空航天大学学报》2013年第3期303-308,共6页Journal of Nanjing University of Aeronautics & Astronautics

摘　　要：基于涡轴发动机的非线性模型,采用阶跃响应法建立状态参数与控制量的线性关系———推进系统矩阵(Propulsion system matrix,PSM)。根据发动机安全工作要求以及执行机构物理性质得到优化约束条件,建立涡轴发动机最大输出功率模式和最小耗油率模式性能寻优问题的数学模型。提出一种新的基于距离的自适应惯性权重粒子群改进算法,对两种模式进行性能寻优。仿真结果表明,所提出的改进粒子群应用于发动机性能寻优具有较好的优化效果。Based on the nonlinear model of a turbo-shaft engine, the propulsion system matrix （PSM） be- tween the state parameters and the control variables is derived using the step response method. Accord- ing to the safety requirement of the engine and the physical characteristics of the actuators, the con- straint of optimization is established. The mathematic models of the maximum power mode and the minimum specific fuel consumption mode on performance seeking problems are derived. A new distance- based adaptive inertia weight particle swarm optimization （PSO） is proposed to performance seeking of the previous two modes. Simulation results show the improvement of the power and the decrease of the specific fuel consumption with the proposed PSO algorithm using the performance seeking control of the turbo-shaft engine.

关 键 词：涡轴发动机 推进系统矩阵 粒子群优化算法 性能寻优 

分 类 号：V233.7[航空宇航科学与技术—航空宇航推进理论与工程]