ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Research and application of adaptive optimal control pilot model
Received date: 2015-05-07
Revised date: 2015-08-02
Online published: 2015-08-31
Supported by
National Natural Science Foundation of China (51505493,91116019);National Basic Research Program of China (2011CB707002)
The traditional optimal control pilot model (OCM) is based on Kalman filter which cannot reveal the pilot behavior in time varying disturbance of unknown environment. To overcome the omissions of OCM, a Modified optimal control pilot model based on adaptive state estimate (MOCM-AE) is developed, and the algorithm implementation is given. By magnitude and phase comparison in frequency domain, the MOCM-AE is testified through flight test reproduction. And the MOCM-AE is more identical to the measurements than OCM. In carrier landing application, the OCM depends on the priori experience grievously, and the MOCM-AE shakes off the fetters of the prior knowledge. In unknown low altitude disturbance, it improves the landing accuracy by 59% and reduces the touchdown point dispersion scope by 29%. The advantage are shown in the model evaluation and MOCM-AE is more proper to describe the pilot behavior in unknown environment.
Key words： carrier landing; pilot model; optimal control; unknown disturbance; state estimate
LIU Jia , XIANG Jinwu , ZHANG Ying , SUN Yang , XIAO Chuwan . Research and application of adaptive optimal control pilot model[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2016 , 37(4) : 1127 -1138 . DOI: 10.7527/S1000-6893.2015.0222
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