Automatic landing system using neural networks and radio-technical subsystems

作     者：Romulus Lungu Mihai Lungu 

作者机构：University of Craiova Faculty of Electrical Engineering 

出 版 物：《Chinese Journal of Aeronautics》 (中国航空学报（英文版）)

年 卷 期：2017年第30卷第1期

页      面：399-411页

核心收录：

学科分类：08[工学] 081105[工学-导航、制导与控制] 0811[工学-控制科学与工程] 

基　　金：supported by the Grant No. 89/1.10.2015 (Modern architectures for the control of aircraft landing) of the Romanian National Authority for Scientific Research and Innovation  CNCS – UEFISCDI  project code PN-IIRU-TE-2014-4-0849 

主　　题：Adaptive control Automatic landing Neural network PID Reference model 

摘      要：The paper focuses on the design of a new automatic landing system（ALS） in longitudinal plane; the new ALS controls the aircraft trajectory and longitudinal velocity. Aircraft control is achieved by means of a proportional-integral（PI） controller and the instrumental landing system– the first phase of landing（the glide slope） and a proportional-integral-derivative（PID） controller together with a radio-altimeter – the second phase of landing（the flare）; both controllers modify the reference model associated with aircraft pitch angle. The control of the pitch angle and longitudinal velocity is performed by a neural network adaptive control system, based on the dynamic inversion concept, having the following as components： a linear dynamic compensator, a linear observer, reference models, and a Pseudo control hedging（PCH） block. The theoretical results are software implemented and validated by complex numerical simulations; compared with other ALSs having the same radio-technical subsystems but with conventional or fuzzy controllers for the control of aircraft pitch angle and longitudinal velocity, the architecture designed in this paper is characterized by much smaller overshoots and stationary errors.