Research On Component Maps Modification Of Turbo-shaft Engine Based On PSO

Aiming at the performance mismatch between the aeroengine model and the actual aeroengine caused by the manufacture,assembly and performance degradation of components,a self-adaptive modification and updating method of component characteristics based on Particle Swarm Optimization(PSO)algorithm was proposed.According to output data of the component level model and the engine performance analysis software GasTurb,PSO algorithm was used to obtain components characteristic correction factors under different relative corrected spool speed and then the component maps were automatically updated online.First of all,general component maps and the variable specific heat method were used to establish the component-level model of a certain type of turbo-shaft engine.In the process of modeling,the influence of deflation and atmospheric relative humidity on performance was considered to improve simulation fidelity and accuracy of the aeroengine model.The steady-state and dynamic-state simulation of the model was carried out above idle in flight envelope.Results show that the steady-state simulation error of the model established in this paper and GasTurb model is less than 1%,which lays the model foundation for the subsequent research and verification of the component characteristics based on the PSO algorithm.Secondly,the principle of modification and updating in component characteristics of the turbo-shaft engine based on PSO algorithm was studied.The parameters to be optimized and the target parameters were selected,and the fitness function was defined.According to the turbo-shaft engine model,the specific modification and updating process of the components based on the PSO algorithm were proposed.For the turbo-shaft component level model,parameters to be corrected include rotating component properties(including pressure ratio,corrected mass flow rate and efficiency),total pressure recovery factor of typical flow path components,compressor pressure ratio,as well as the efficiency of the combustor.When correcting the model at the design point,all the above parameters above are selected to be corrected.When correcting the model at the non-design points,only the rotating components characteristics are selected while the other parameters to be corrected are the same as the correction results of that at the design point.Finally,the comparison of steady-state simulation results before and after correction of component characteristics was carried out.Simulation results show that utilizing PSO algorithm to optimize and update the existing component characteristics of the turbo-shaft engine can significantly improve the steady-state simulation accuracy of the component-level model.After modification and updating of component characteristics,the steady-state simulation error could be reduced from 5% to 1%,which better meets the demands of overall engine performance optimization and simulation verification of digital control system.