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GA-Based Model Predictive Control of Semi-Active Landing Gear
作者姓名:WU  Dong-su  GU  Hong-bin  LIU  Hui
作者单位:College of Civil Aviation, Nanjing Universityy of Aeronautics and Astronautics,Nanjing 210016, China
摘    要:Semi-active landing gear can provide good performance of both landing impact and taxi situation, and has the ability for adapting to various ground conditions and operational conditions. A kind of Nonlinear Model Predictive Control algorithm (NMPC) for semi-active landing gears is developed in this paper. The NMPC algorithm uses Genetic Algorithm (GA) as the optimization technique and chooses damping performance of landing gear at touch down to be the optimization object. The valve's rate and magnitude limitations are also considered in the controller's design. A simulation model is built for the semi-active landing gear's damping process at touchdown. Drop tests are carried out on an experimental passive landing gear systerm to validate the parameters of the simulation model. The result of numerical simulation shows that the isolation of impact load at touchdown can be significantly improved compared to other control algorithms. The strongly nonlinear dynamics of semi-active landing gear coupled with control valve's rate and magnitude limitations are handled well with the proposed controller.

关 键 词:起落装置  非线性模型  半自动化控制  冲击负载
收稿时间:22 February 2006
修稿时间:2006-02-222006-07-06

GA-Based Model Predictive Control of Semi-Active Landing Gear
WU Dong-su GU Hong-bin LIU Hui.GA-Based Model Predictive Control of Semi-Active Landing Gear[J].Chinese Journal of Aeronautics,2007,20(1):47-54.
Authors:WU Dong-su  GU Hong-bin  LIU Hui
Institution:College of Civil Aviation, Nanjing Universityy of Aeronautics and Astronautics, Nanjing 210016, China
Abstract:Semi-active landing gear can provide good performance of both landing impact and taxi situation, and has the ability for adapting to various ground conditions and operational conditions. A kind of Nonlinear Model Predictive Control algorithm (NMPC) for semi-active landing gears is developed in this paper. The NMPC algorithm uses Genetic Algorithm (GA) as the optimization technique and chooses damping performance of landing gear at touch down to be the optimization object. The valve's rate and magnitude limitations are also considered in the controller's design. A simulation model is built for the semi-active landing gear's damping process at touchdown. Drop tests are carried out on an experimental passive landing gear systerm to validate the parameters of the simulation model. The result of numerical simulation shows that the isolation of impact load at touchdown can be significantly improved compared to other control algorithms. The strongly nonlinear dynamics of semi-active landing gear coupled with control valve's rate and magnitude limitations are handled well with the proposed controller.
Keywords:landing gear  semi-active control  nonlinear model predictive control  impact load  genetic algorithm  Gear  Landing  nonlinear dynamics  coupled  result  numerical simulation  isolation  impact load  improved  control  algorithms  Drop  experimental  passive  systerm  validate  parameters  process  simulation model  design
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