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This paper focuses on the problem of robust model predictive tracking control for the flexible air-breathing hypersonic flight vehicle in the presence of state, actuator constraints and input delays. Constraints, as well as input time delays, are the highly challenging problems in the design of flight control system. Based on linear parameter varying (LPV) model obtained by Tensor-Product model transformation...
An improved robust nonlinear model predictive control scheme with robust one-step set is proposed for a class of nonlinear systems with bounded disturbances to reduce computation complexity of online optimization. Firstly, the robust control invariant set is constructed based on bounded linearization errors and control invariant tube set control strategy. Secondly, based on the robust N-step stabilisable...
Multi-route planning is the important part in the field of aircraft planning research. This paper presents a new approach based on quantum immune clone algorithm to solve the multi-route planning problem of low-altitude aircrafts. The K-means clustering method is used to form several sub-populations in the cloning evolution process. Cloning, immune, choosing and deceasing operating is applied only...
This paper describes the design of parameter dependent robust model predictive controller (PD-RMPC) for a class of flexible air-breathing hypersonic vehicles. The strong system uncertainties, high nonlinearity, strong coupling, input saturation and flight state constraints are challenging problems in the design of control system. Therefore, a control method that can handle model uncertainties and...
The flexible aircraft model is divided into rigid and flexible models, and the parameters uncertainty model is constructed respectively using linear fractional transformation (LFT). A complete model of the aircraft is obtained by adding its rigid and flexible models at the outputs, then it can be transformed into a single LFT, and the aircraft's dynamics is separated into certainty part and uncertainty...
For the complicated aerodynamics characteristic and severely uncertainty of nonlinear model of a hypersonic vehicle, a novel Model Predictive Controller design methodology based on Linear Parameter-Varying was developed. Firstly, the nonlinear model was transformed into Linear Parameter- Varying form by Jacobian linearization of nonlinear plant about a family of equilibrium points. And then the ploytopic...
An improved off-line robust model predictive control (MPC) is presented for a discrete time uncertain dynamic system with input constraints, where the uncertainties that satisfy the so-called norm-bound conditions exist in state matrices and input matrices. The new approach synthesizes the advantage of on-line MPC and off-line MPC. First, off-line, generate a sequence of asymptotically stable invariant...
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