Research On Aeroengine Components Characteristics Correction Technique And Control System Design

A method based on modifying the characteristics of components is researched in this thesis,which can match the aero-engine mathematical model outputs to the engine’s test data. It aims atproviding a universal component characterization correction technique based on test data to reduce themodeling error and improve the model accuracy. On the base of this mathematical model, thecontrollers are designed according to control scheme, and the simulations are carried out to verify thetest data.Firstly, aero-engine component simulation model was established using componentscharacteristic maps. In order to achieve high matching accuracy of engine model outputs to test data,the genetic algorithm was used to optimize characteristic correction coefficients, air-entrainingcorrection coefficients and the total pressure recovery correction coefficients, etc. The design-pointmodel matching was achieved based on the optimization of the correction coefficients.Secondly, the off-design-point model matching technology was researched on the basis of themodel which has completed the design point matching. The scaling factor function of the componentcharacteristic maps were optimized based on Genetic Algorithm. According to conversion speed fromhigh to low, many off-design-points matching precision were verified. To realize off-design-pointsmatching, conversion speeds were divided into blocks according to their values, and the scaling factorfunction varied at different blocks. Eventually matching of all the working-points was realized.Finally, the single variable and double variables controllers of the corrected model were designedaccording to the control scheme. The single variable controller was an adaptive PID controller basedon a simplified model. The double variable controller was a PI controller with a neural networkinversed model as feed-forward compensator.