The Stochastic Robust Model Predictive Control of Shimmy Vibration in Aircraft Landing Gears
作者： A. Hajiloo , W. F. Xie
DOI: 10.1002/ASJC.1048
关键词: Landing gear 、 Engineering 、 Speed wobble 、 Control theory 、 Model predictive control 、 Control theory 、 Probabilistic logic 、 Convex optimization 、 Convex combination 、 Vibration
摘要: This paper considers robust model predictive control (RMPC) methods for a linear parameter varying (LPV) system that has both probabilistic uncertain and time-varying parameters. The parameters are considered to be measured online. In this regard, the aircraft landing gear is as an LPV whose variation can affect stability performance. By transforming into convex combination of time-invariant vertices form with tensor-product (TP) transformation method, represented polytopic parameter-varying system. A computationally efficient RMPC signal law calculated online by carrying out optimization involving matrix inequalities (LMIs) in MPC which leads finding solutions guarantee closed-loop proposed controller effectively suppress shimmy vibration variable taxiing velocity wheel caster length, also torsional spring stiffness.
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