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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。
Mainly studied the aeroengine performance optimization control (PSC) algorithm problem. A real-time optimization control strategy based on the fill function method (FFM) is proposed to solve the nonlinear constrained optimization problem. By constructing the fill function, the algorithm can continuously jump out of the local optimal point in the process of optimization and make the algorithm itself have the global optimization ability. The main content of the algorithm and its implementation are introduced in detail. Based on the above-mentioned filling function optimization algorithm, an optimization model of a certain turbofan engine afterburner minimum fuel consumption is taken as a simulation example. The results show that the proposed algorithm can solve the problem of optimal control of aeroengine performance , Compared with the traditional sequence linear programming method in the global optimization has a better effect.