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Aggressive Longitudinal Aircraft Path Tracking Using Nonlinear Control
Author(s) -
AlHiddabi Saif A.,
McClamroch N. Harris
Publication year - 2001
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1111/j.1934-6093.2001.tb00068.x
Subject(s) - control theory (sociology) , trajectory , feed forward , nonlinear system , controller (irrigation) , path (computing) , computer science , tracking (education) , engineering , control engineering , control (management) , artificial intelligence , physics , psychology , agronomy , pedagogy , quantum mechanics , astronomy , biology , programming language
We study the problem of converting a trajectory tracking controller to a path tracking controller for a nonlinear non‐minimum phase longitudinal aircraft model. The solution of the trajectory tracking problem is based on the requirement that the aircraft follows a given time parameterized trajectory in inertial frame. In this paper we introduce an alternative nonlinear control design approach called path tracking control. The path tracking approach is based on designing a nonlinear state feedback controller that maintains a desired speed along a desired path with closed loop stability. This design approach is different from the trajectory tracking approach where aircraft speed and position are regulated along the desired path. The path tracking controller regulates the position errors transverse to the desired path but it does not regulate the position error along the desired path. First, a trajectory tracking controller, consisting of feedforward and static state feedback, is designed to guarantee uniform asymptotic trajectory tracking. The feedforward is determined by solving a stable noncausal inversion problem. Constant feedback gains are determined based on LQR with singular perturbation approach. A path tracking controller is then obtained from the trajectory tracking controller by introducing a suitable state projection.