2001
DOI: 10.2514/2.4696
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Generalized Predictive Control for Active Flutter Suppression

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Cited by 24 publications
(15 citation statements)
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“…These systems are usually characterized by slow dynamics; their low-control frequency allows one to solve a constrained minimization at each time step to determine the control inputs. On the contrary, aeroelastic systems are characterized by much faster dynamics [3,11,35]. The required higher control frequencies make computationally expensive constrained minimizations impractical in real-time.…”
Section: Controlmentioning
confidence: 99%
See 1 more Smart Citation
“…These systems are usually characterized by slow dynamics; their low-control frequency allows one to solve a constrained minimization at each time step to determine the control inputs. On the contrary, aeroelastic systems are characterized by much faster dynamics [3,11,35]. The required higher control frequencies make computationally expensive constrained minimizations impractical in real-time.…”
Section: Controlmentioning
confidence: 99%
“…The control inputs are computed by minimizing the difference between the predicted and the desired outputs in a least squares (LS) sense. The computational efficiency of GPC allows to use it in real-time to control aeroelastic systems, characterized by fast dynamics and requiring high control frequency, as shown for example in recent fixed-wing applications [11][12][13]. In this study a comprehensive simulation system has been developed to simulate, design and tune under realistic conditions a GPC regulator for the control of tiltrotor structural dynamics with a twofold objective: reduce vibrations and wing loads, and extend the flutter-free flight envelope using the swashplate controls as inputs, without the need to add ad hoc control devices.…”
Section: Introductionmentioning
confidence: 99%
“…The performanceobjectiveis capturedin the performanceweighting W perf D diag [13,8]. These constant weights, applied to the pitch and plunge acceleration output channels, ask for a reduction of the maximum singular values from all inputs (disturbance on the actuator signal, uncertainty,and noise) to these outputs, thus decreasing the singular values by about an order of magnitude at the utter frequencies.…”
Section: ¹-Designmentioning
confidence: 99%
“…However, these control methods need a precise analytical model describing the plant dynamics. Such a demand is in reality difficult to be satisfied, because the dynamics of an aeroelastic system is usually very sensitive to system nonlinearities and uncertainties and may change very differently under varying flight conditions, such as variations of dynamic pressures, Mach numbers, mass configurations and so on [7]. Accordingly, these approaches suffer from inflexibilities of adaption when facing disturbances or variations of the plant dynamics.…”
Section: Introductionmentioning
confidence: 97%