基于变导叶调节的涡扇发动机加速过程优化控制

提出了一种利用变导叶调节,基于可行序列二次规划算法的涡扇发动机加速过程优化控制方法,研究发现,通过在发动机加速过程中对压缩部件导叶角度的适应性调节,可以优化压气机和风扇在过渡态的空气流量,使得燃油在满足各方面约束条件下以最大可能的速度增加,从而提升了发动机加速性能.最后,与常规两变量加速过程优化方法进行了对比研究:在相同目标函数和约束条件下,分别进行了两控制量(主燃油和尾喷管喉道面积)、增加风扇导叶调节或压气机变导叶的三控制量的加速优化控制仿真,结果表明,所提出的方法在优化过程中可以使得燃油最大可能速率高于常规方法,且发现压气机导叶角在优化过程的作用优于风扇导叶角,优化后的工作点加速路径紧贴喘振裕度限制边界,且各个约束严格在可行域范围内,3种方案的加速时间分别为5.5,4.9s和4.5s.

Acceleration process optimization control of turbofan engine based on variable guide vane adjustment

Acceleration process optimization control research was conducted based on the variable vane adjustment and feasible sequential quadratic programming (FSQP) algorithm. Using the adjustment of the guide vane during acceleration, the air mass flow of high pressure compressor and fan can be optimized. In this case, the fuel flow can be increased at a faster speed. Thus, the acceleration performance was significantly enhanced. Then, compared with conventional two-variable (fuel flow and nozzle throat area) optimization method, three-variable optimization method simulations were carried out based either on guide vane of fan or on that of high pressure compressor. The results show that fuel flow rate is better than the traditional ways. Moreover, the guide vane of high pressure compressor plays a more important role than that of fan during the process. The acceleration pass after optimization is close to the surge margin boundary with restraint in the feasible region. The acceleration time of the three methods are 5.5s, 4.9s and 4.5s respectively.