Hypersonic flight vehicle (HFV) flies at a speed of more than 5 Ma. HFV has ultra-high speed, large flight envelope, short reaction time, strong penetration capability and can carry more payload. Therefore, HFV has significant military strategic value and civil aerospace application value. The hypersonic flight control technique is rather important for hypersonic techniques. Due to HFV’s airframe/engine integrated design, there exist strong interactions between structural dynamics, aerodynamics and propulsion. Besides, the flight environment of HFV changes dramatically and some flight variables are difficult to measure. In summary, modeling error, measurement error and external disturbances bring big and inevitable uncertainties whichimpose robustness requirement onflight control system design. Active disturbance rejection control (ADRC) needs to know neither the exact model nor the exact measurement of the disturbance. The extended state observer (ESO) of ADRC can estimate various disturbances online and actively compensate them.Therefore, ADRC can be used to estimate and compensate the uncertainty encountered in hypersonic flight control. Type-2 fuzzy logic is an extension of type-1 fuzzy logic, which is more capable of dealing with uncertain problems. Interval type-2 fuzz logic system (IT2-FLS) greatly reduces the computation cost of type-reduction and other operations in type-2 fuzzy logic, and therefore gets more and more used in real application. IT2-FLS is first used in hypersonic flight control in this dissertation. In this dissertation, for the trajectory tracking control of hypersonic flight vehicle, robust and adaptive hypersonic flight control problem is deeply researched under the supports of National Natural Science Foundation of china and Innovation Method Fund of China.The main contributions of this dissertation include the following issues: (1) For the linearized model of a generic hypersonic flight vehicle (GHFV), a high-order decoupled control scheme based on ADRC is proposed. By introducing virtual control variables, the linearized model can be decoupled into two independent channels where high-order ADRC can be designedseparately. The real control signals are then obtained via dynamic inversion control.Simulation results demonstrate the effectiveness and robustness of the proposed controller. (2) For the trajectory tracking control problem of GHFV under uncertain condition, two indirect adaptive interval type-2 fuz...
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