Guidance, Navigation, and Control Conference 1996
DOI: 10.2514/6.1996-3915
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A new approach to autopilot design for highly nonlinear missiles

Abstract: We propose a new approach to acceleration control of STT missiles which fully takes into account all nonlinearities of STT missiles, including the coupling effect due to bank and roll angles. We show that the missile dynamics with nonminimum phase can be transformed through a kind of partial linearization and singular perturbation techniques into the reduced system which is not only of minimum phase but also exactly I/O linearizable via feedback. Based on the resulting linear system, we can easily obtain a dyn… Show more

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Cited by 13 publications
(7 citation statements)
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“…for each yaw and pitch channel, where the time constant s. In fact, we could see that time constants larger or smaller than this gave negligible influence on performance as in [10].…”
Section: B the Performance Of The Nonlinear Controllermentioning
confidence: 85%
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“…for each yaw and pitch channel, where the time constant s. In fact, we could see that time constants larger or smaller than this gave negligible influence on performance as in [10].…”
Section: B the Performance Of The Nonlinear Controllermentioning
confidence: 85%
“…[10], where fast maneuvering and high performance were achieved with this assumption. As for the equality in Assumption 2.4, the forward linear velocity is customarily assumed to be constant in the flight control area [6] and can be kept constant throughout maneuvers by throttle control [7], [8].…”
Section: A Stt Missile Dynamicsmentioning
confidence: 97%
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“…17,18, and 20 are characterized by the initial oscillations and a certain sensitivity to noise. Reducing controller bandwidth by adjusting the weights in the linear design procedure can improve both features.…”
Section: Three-dimensional Engagementmentioning
confidence: 99%
“…The singular perturbation technique, together with a partial linearization,is employed in Ref. 18 to pursuethe same goal. A feedback linearization autopilot using an adaptive neural network structure is presented in Ref.…”
Section: Introductionmentioning
confidence: 99%