Proceedings of the 1997 IEEE International Conference on Control Applications
DOI: 10.1109/cca.1997.627746
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Active control of vibrations in helicopters by periodic optimal control

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Cited by 7 publications
(7 citation statements)
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“…However, for nonlinear systems, it is often required to derive error dynamics to convert a tracking problem to a disturbance rejection problem as (3). This in fact follows the idea of general tracking controller design, whereas the special feature of periodic signals is under-exploited.…”
Section: T  ¥mentioning
confidence: 99%
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“…However, for nonlinear systems, it is often required to derive error dynamics to convert a tracking problem to a disturbance rejection problem as (3). This in fact follows the idea of general tracking controller design, whereas the special feature of periodic signals is under-exploited.…”
Section: T  ¥mentioning
confidence: 99%
“…In aerospace engineering, many control tasks are often of a periodic nature as well. For example: magnetic spacecraft attitude control [1], [2], active control of vibrations in helicopters [3], [4], autonomous vertical landing on an oscillating platform [5], [6] and harmonics elimination in aircraft power supplies [7]. Besides these, in industrial manipulators executing operations of picking, placing or painting, machine tools and magnetic disk or CD drives, the control systems are often required to track or reject periodic exogenous signals.…”
Section: Introductionmentioning
confidence: 99%
“…In conclusion, considering that usually , , and , in the direct approach one encounters a big Riccati equation (of dimension ranging from 17-27), whereas in the indirect approach the biggest Riccati equation one has to deal with has dimension (i.e., [6][7][8][9][10] only. Note that the Riccati equation to be solved for the computation of the controller has dimension both in the direct and indirect approach.…”
Section: Ering Condition (mentioning
confidence: 99%
“…Thus, the spectral content of covers a much wider range of frequencies than that of . By making reference to system (3), the problem of designing a control system so as to attenuate the effect of oscillations can be easily cast into an optimal control framework by considering the performance index (4) where (5) In conclusion, thanks to the introduction of the fictitious input signal , we come to a standard periodic linear quadratic Gaussian (LQG) control problem, characterized by the performance index (4) over the system (6) Clearly, with respect to conventional LQG control, where the required state estimates are obtained by means of a Kalman filter, the additional issue of estimating the IED arises. The control system will be therefore composed of three elements:…”
Section: Problem Statementmentioning
confidence: 99%
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