Performance Optimization Of Variable Cycle Engine Based On Intelligent Algorithm

Variable cycle engine(VCE)is a highly complex and precise mechanical,different form traditional engine,VCE can improve the matching between engine and exhaust system through adjustable parts,so as to make the engine able to balance different aircraft flight condition on the demand of the power system.The VCE has many adjustable parameters with strong coupling,so it is difficult to fully explore the potential performance of under the traditional control law.In this paper,based on the intelligent optimization algorithm,performance optimization research is carried out under typical operating conditions of the variable cycle engine.Ensuring a certain safety margin of the VCE,the flight performance is fully explored to achieve the purpose of low fuel consumption in the cruising state and rapid response in the maneuvering state.The main research contents of this paper include:(1)Proposed the steady-state optimization method of VCE based on grey wolf and particle swarm optimization algorithm.When the power lever angle(PLA)is given and the engine reaches a steady state,the input variables with significant improvement to the optimization objective are selected through sensitivity analysis.And then,optimization algorithms are used to optimize the variable input control quantity,so that the steady-state output thrust can reach the maximum without over-limit.Simulation results show that under different typical working conditions,the steady-state value of engine thrust increases by 5% on average which indicates that proposed algorithms can effectively solve the multivariable optimization problem of VCE.(2)Proposed a transitional state optimization method for VCE based on large-scale global optimization technology(LSGO).When the PLA changes,competitive swarm optimization(CSO)algorithm has been taken to optimize the incremental sequence of transition state control input,which can handle the dimension disaster problem effectively.The simulation results show that under different typical conditions,the response time of thrust is improved by 48.13% and the steady-state value by 0.62% on average.The proposed algorithm overcomes the shortcomings of the traditional SQP algorithm and has certain rapidity and portability.