Design, Flight Simulation, and Handling Qualities Evaluation of an LPV Gain-Scheduled Helicopter Flight Control System

Postlethwaite, Ian; Konstantopoulos, Ioannis K.; Sun, Xiaodong; Walker, Daniel J.; Alford, Adrian

doi:10.1016/s0947-3580(00)71119-8

Cited by 5 publications

(4 citation statements)

References 19 publications

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“…However, W n can be selected as a function of frequency Now it is straightforward to obtain augmented system, P aug , for both local linear models and parameter dependent by appropriate input and output filtering of the given systems in equations (14) and (16).…”

Section: Actuator Model and Reference Modelmentioning

confidence: 99%

“…This work complements 20 by reworking the principles in mixed sensitivity design configuration to a different type of aircraft. Studies handling large-scale helicopters typically utilize a 2-degree of freedom (DOF) reference tracking controller and an attitude tracking inner loop. 14 A simpler 1-DOF structure is proposed here and the attitude tracking loop is eliminated in favor of directly controlling the velocity. This approach is possibly more suitable for small helicopters. For practical usefulness, our entire development revolves around LMI conditions.…”

Section: Introductionmentioning

confidence: 99%

“…Studies handling large-scale helicopters typically utilize a 2-degree of freedom (DOF) reference tracking controller and an attitude tracking inner loop. 14 A simpler 1-DOF structure is proposed here and the attitude tracking loop is eliminated in favor of directly controlling the velocity. This approach is possibly more suitable for small helicopters.…”

Section: Introductionmentioning

confidence: 99%

“…12 The LPV control theory is applied to design a flight control system for hypersonic reentry vehicle in Cai et al 13 based on LFT model. In Postlethwaite et al, 14 a practical technique is described for modeling an affine LPV system, which is then used in the design of a gain-scheduled controller for a Lynx helicopter. In Walker, 15 a gain-scheduled controller is designed where the flight envelope is divided into five sub-regions without guarantee on the scheduled controller.…”

Section: Introductionmentioning

confidence: 99%

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Control of a small helicopter with linear matrix inequality-based design assuring stability and performance

Şahin

Kasnakoğlu

2019

Proceedings of the Institution of Mechanical Engineers, Part G:

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This article focuses on linear matrix inequality-based controller designs that can achieve stabilization and reference tracking for a small unmanned helicopter at various flight conditions. A nonlinear mathematical model of a small-scale helicopter is constructed. Then trim conditions are found and linearized around different equilibrium points. Local [Formula: see text] controllers are designed at trim conditions based on the local linear models. The pointwise controllers achieve local stability and performance, but fail at stabilization and tracking over the full envelope. A scheduling controller is built by blending the local controller outputs. In addition, grid-based [Formula: see text] controllers are designed at each operating point with common Lyapunov function. This allows controller scheduling between the adjacent design points with guaranteed stability and performance across the design envelope. Based on the family of linear systems which are obtained from the nonlinear model, an affine parameter-dependent model is built to exploit the approximate linear parameter dependency. Then, a parameter-dependent linear parameter varying controller is synthesized for the affine parameter-dependent model. Although local performance is satisfactory for all given design methods, local [Formula: see text] controllers and affine parameter-dependent controller cannot yield satisfactory performance over the full flight envelope apart from the grid-based controller with common Lyapunov function approach.

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Section: Actuator Model and Reference Modelmentioning

confidence: 99%