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Aircrafts state estimation by using an adaptive observer for MIMO linear time varying systems

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3 Author(s)
Mihai Lungu ; Department of Electrical, Energetic, and Avionics Engineering, University of Craiova, Faculty of Electrical Engineering, Craiova, Romania ; Romulus Lungu ; Lucian Teodor Grigorie

Most important adaptive observers study the SISO (single-input-single-output) systems; the generalization of these algorithms for the case of MIMO (multi-input-multi-output) systems is difficult to be made. One of the most important algorithms for state estimation in the case of MIMO linear time varying systems (LTV) was designed by Qinghua Zhang [1]; the algorithm is simple, computationally efficient, viable, and easy to implement software. The Zhang adaptive observer is used in this paper to estimate the state of the aircrafts longitudinal and lateral motions. Two examples are considered: the first one represents the longitudinal motion of a Charlie aircraft, while the second example is associated to the lateral motion of a Boeing 747 airplane.

Published in:

High Performance Computing and Simulation (HPCS), 2012 International Conference on

Date of Conference:

2-6 July 2012