Optimized Data-Driven Prescribed Performance Attitude Control for Actuator Saturated Spacecraft

This article addresses the crucial requirements in spacecraft attitude control: prescribed performance guarantees under actuator saturation and real-time cost optimization. As an application-oriented study, approximate optimal control scheme is proposed for this objective. To be specific, constraint converted into system dynamics merged adaptive dynamic programming design philosophy. Subsequently, online learning law designed based on a special saturated Hamilton–Jacobi–Bellman error, which dynamical scale introduced to adjust gain by measured data. It enhances efficiency applicability. Then, uniformly ultimately bounded stability of whole achieved with guaranteed convergence optimization Lyapunov-based analysis. Finally, both numerical simulation hardware-in-the-loop experiments demonstrate superiority effectiveness method. These attributes outcomes attained will promote development practical space missions.