Control-oriented Modeling And Associated Characteristic Analysis For Integrated Design Of Aerospace Vehicles

Complexity of flight dynamics of aerospace vehicles(ASV)arises from the large envelope,aerodynamic nonlinearity,coupling with the propulsion system and structure dynamics,and uncertainty of flight environment.Thus,control system design for such vehicles is a challenging task,especially when the authority of control system is limited.The emphasis of the dissertation lies in the development and application of a first-principle-derived model for the control-relevant integrated design of ASV.First,a high fidelity model with efficient iterative capability is developed.The configuration of ASV is generated using parametric geometric modeling method.The modeling of the dual-mode scramjet powered hypersonic vehicle dynamics is then introduced with shock interaction,Ram-to-Scram transition,and finite rate chemistry reaction.Besides,structure dynamics of ASV is formulated as a cantilever beam model and solved using assumed mode method.Considering the briefness of analytical expression,a curve-fitting model is identified with the implement of sensitivity analysis.Second,four associated correlations for ASV are proposed,namely parameter correlation,stability correlation,controllability correlation,and disturbance correlation.To qualify the influence of associated-terms on flight dynamics,closed-loop performance limitations are introduced as metrics.Comprehensive specifications on stability,tracking accuracy,and robustness are derived.Third,a multi-parameter stability region analysis algorithm is proposed based on guardian maps theory.Correlation between flight dynamics and other systems is described as output associated system,which is integrated in the dynamic inverse.A high-order thermal sliding mode control with nonlinear dynamic inverse is proposed for attitude dynamics of ASV.Simulation shows that the closed-loop performance is improved with less control authority by the aid of output associated system.Next,three optimization strategies are discussed for different optimization problems.Controlrelevant integrated design of ASV focuses on the organization of sub-design problems.Couplings among optimization sub-problems are divided into objective-coupling and constraint-coupling.Moreover,a novel hybrid quantum-based pigeon-inspired optimization algorithm is proposed to perceive deceptiveness and preserve diversity.At last,the first-principle-derived model is utilized to illustrate the process of control-relevant integrated design.To clarify the objective-coupling,we investigate the cross influence of design variables on different objectives.Limitation on static margin is formulated to clarity the constraint-coupling.Then,an integrated trajectory optimization with control specifications is proposed.Simulation results demonstrate the validity of control-relevant integrated design of ASV.