Self-adaptive LQG/LTR (linear quadratic Gaussian with loop transfer recovery) controller design method for aero-engine

Abstract

The invention discloses a self-adaptive LQG / LTR (linear quadratic Gaussian with loop transfer recovery) controller design method for an aero-engine. The method comprises steps as follows: firstly, a linear mathematical model near a steady state point is established on the basis of a high-precision non-linear model of the aero-engine, and an LQG / LTR controller is primarily designed according to thelinear mathematical model; an error function of a BP (error back propagation) algorithm is defined and enabled to meet the requirement of system performance; finally, a Kalman filter gain matrix andan optimum state feedback gain matrix in the LQG / LTR controller are optimized online with the BP algorithm, and the error function is enabled to be the minimum. Aiming at solving the problem of weightmatrix selection in the LQG / LTR controller design process and avoiding a tedious manual trial and error process, all that is required is to supply any group of weight matrixes reasonably and solve the Kalman filter gain matrix and the optimum state feedback gain matrix, the LQG / LTR controller can be optimized online with the method, and the system is enabled to achieve good dynamic property and robustness.

Description

technical field [0001] The invention belongs to the design technology of an aero-engine controller, in particular to an aero-engine adaptive LQG / LTR (Linear Quadratic Gaussian with Loop Transfer Recovery) controller design method. Background technique [0002] Aeroengine is a controlled object with extremely complex structure, extremely harsh working environment and strong nonlinearity. In order to meet the performance and controllability requirements of aero-engines, a multivariable control method is used to control the fuel quantity and several geometric variables of the engine [1] . Because the LQG / LTR control method has the advantages of simple structure and excellent robustness, it has high engineering application value. For example, the control of turboshaft engines GE T700, Allison T406 and turbofan engines PW F100EMD all adopt the LQG / LTR method [2] . However, there are two potential problems when using the LQG / LTR control method: one is that in the process of co...

AI Technical Summary

Problems solved by technology

[0017] The purpose of the present invention is to provide a design method of an adaptive LQG / LTR controller for an aeroengine, to solve the problem of difficult selection of the weight matrix in the design of the LQG / LTR controller, and to increase the robustness of the LQG / LTR controller. When the state of the controlled object changes, the designed LQG / LTR controller can adjust the Kalman filter gain matrix and the optimal state feedback gain matrix to adapt to the control of the new controlled object

Images