Purpose – The purpose of this paper is to propose a robust control scheme for near space vehicle's (NSV's) reentry attitude tracking problem under aerodynamic parameter variations and external disturbances. Design/methodology/approach – The robust control scheme is composed of dynamic surface control (DSC) and least squares support vector machines (LS‐SVM). DSC is used to design a nonlinear controller for HSV; then, to increase the robustness and improve the control performance of the controller. LS‐SVM is presented to estimate the lumped uncertainties, including aerodynamic parameter variations and external disturbances. The stability analysis shows that all closed‐loop signals are bounded, with output tracking error and estimate error of LS‐SVM weights exponentially converging to small compacts. Findings – Simulation results demonstrate that the proposed method is effective, leading to promising performance. Originality/value – First, a robust control scheme composed of DSC and adaptive LS‐SVM is proposed for NSV's reentry attitude tracking problem under aerodynamic parameter variations and external disturbances; second, the proposed method can achieve more favorable tracking performances than conventional dynamic surface control because of employing LS‐SVM to estimate aerodynamic parameter variations and external disturbances.
International Journal of Intelligent Computing and Cybernetics – Emerald Publishing
Published: Aug 17, 2012
Keywords: Dynamic surface control (DSC); Least squares support vector machine (LS‐SVM); Near space vehicle (NSV); Attitude control; Control technology; Control systems