填充函数法在发动机加力最小油耗模式控制中的应用

主要研究了航空发动机性能寻优控制(PSC)算法问题。提出一种用于解决非线性约束优化问题的基于填充函数方法(FFM)的实时优化控制策略。通过构造填充函数,该算法可以在优化计算过程中能够不断跳出局部最优点,使得算法本身具备了全局寻优能力。详细介绍了其算法主要内容与实现途径,基于上述的填充函数优化算法,以某型涡扇发动机加力最小油耗优化控制模式为仿真算例,验证了该算法在解决航空发动机性能寻优控制问题时,相比传统的序列线性规划方法在全局寻优方面具有更好的效果。

Application of Filled Function Method to Specific Fuel Consumption Mode Control for Aeroengines in Afterburning Condition

This article presents a study of the real-time optimization algorithm for the performance seeking control(PSC) of aeroengines. An improved real-time optimization algorithm based on the filled function method (FFM) is proposed to solve normal nonlinear optimization problems, which may provide a better solution than the current local minima do in the optimization process by constructing some filled functions constantly, and the above mathematical mechanism leads to the FFM optimization algorithm which has more powerful global convergence ability than the traditional programming methods. The numerical recipe about this algorithm is introduced in detail in this article. As a simulation example, the improved FFM optimization algorithm is used in the minimum specific fuel consumption control mode in afterburning condition for a certain two-spool turbofan engine's performance seeking control, and the simulation results show that it is more efficient and reliable to find global minima by the proposed algorithm than the traditional sequential linear programming method.