Flight Control Design of an Unmanned Space Vehicle Using Gain Scheduling

Abstract

A flight control design of an unmanned space vehicle using an interpolative gain-scheduling technique is presented. The ν-gap metric is used to evaluate the interpolative errors between linear models at operating points. The linear-parameter-varying models for the space vehicle are then constructed by minimizing a criterion using the ν-gap metric. Furthermore, multi-objective constraints are locally imposed on the specified operating points to improve the control performance. In the numerical simulations, the gain-scheduling control laws whose number of operating points was greater than two stabilized the space vehicle over the entire region. Furthermore, the input-saturation constraint was effective in suppressing the magnitude of the input and extending the stability region of the design parameter.