Abstract

With the requirements of the advanced propulsion systems for aircraft control performance increasing, it has attracted the attention to design more efficient controller that is based on the nonlinear model over the flight envelope directly. A nonlinear aircraft engine control method based on generalized minimum variance approach is studied. A nonlinear autoregressive with extra input aircraft engine model for a certain turbofan engine is built and is chosen as the control plant in this study. Then, a controller is designed for the identification model based on the nonlinear generalized minimum variance theory. And simulation results manifest the controller to satisfy the requirements of the tracking with the transient process and the regulation with the steady process.

Highlights

  • With the relevant technology fields developed in, for example, machinery, electronics, materials, and so on, the performance of aircraft engine is continuously improved, and the number of control variables is increasing.[1]

  • It is reported that American engineers had researched the linear quadratic method to apply it for the engine control and had adopted the linear quadratic Gaussian (LQG) or loop transfer recovery (LTR) method in the Design Method for Integrated Control Systems (DMICS) research programs.[23]

  • With the analysis of aircraft engine characteristics, a structure of nonlinear autoregressive with extra input (NARX) model has been identified using the data of a turbofan engine, and nonlinear generalized minimum variance (NGMV) control method[28,29] is introduced to design the nonlinear control method for the turbofan engine

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Summary

Introduction

With the relevant technology fields developed in, for example, machinery, electronics, materials, and so on, the performance of aircraft engine is continuously improved, and the number of control variables is increasing.[1]. With the analysis of aircraft engine characteristics, a structure of nonlinear autoregressive with extra input (NARX) model has been identified using the data of a turbofan engine, and nonlinear generalized minimum variance (NGMV) control method[28,29] is introduced to design the nonlinear control method for the turbofan engine. This article is structured as follows: section ‘‘Engine model description’’ identifies the nonlinear model with the structure of NARX.

Results
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