Proceedings Article10.23919/ACC.1990.4790832
Nonlinear Adaptive Control of a Twin Lift Helicopter System
Manoj Mittal,J. V. R. Prasad,Daniel P. Schrage +2 more
- 23 May 1990
- Iss: 27, pp 743-748
16
TL;DR: In this paper, a nonlinear model describing the dynamics of a twin lift helicopter configuration in the lateral/vertical plane is synthesized using an input-output feedback linearization technique in conjunction with an adaptation algorithm.
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Abstract: The tracking control problem of a twin lift helicopter system in the presence of parametric uncertainty is considered in this paper Based on a nonlinear model describing the dynamics of a twin lift helicopter configuration in the lateral/vertical plane, a controller is synthesized using an input-output feedback linearization technique in conjunction with an adaptation algorithm The proposed control scheme does not require any knowledge of the bound of uncertainties present and drives the output tracking error to zero asymptotically The performance of the controller is illustrated in a simulation of the nonlinear model of the twin lift system
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Brief paper: Application of nonlinear transformations to automatic flight control
TL;DR: This paper presents the results of an application of transformations (from nonlinear to linear systems) to the design of a helicopter autopilot.
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A Mathematical Model of the UH-60 Helicopter.
K. B. Hilbert
- 01 Apr 1984
TL;DR: In this article, the UH-60 helicopter's aerodynamic force and moment equations were modified for the purpose of modeling the UAV-12 helicopter's performance and the results were validated by comparison of trim and stability derivative data with data generated from a similar total forces and moment math model.
Multivariable Control of a Twin Lift Helicopter System using the LQG/LTR Design Methodology
Armando A. Rodriguez,Michael Athans +1 more
- 18 Jun 1986
TL;DR: In this paper, the authors present guidelines for developing a multivariable centralized automatic flight control system (AFCS) for a twin lift helicopter system (TLHS) using singular value ideas to formulate performarce and stability robustness specifications.