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Stability-based SDRE controller for spacecraft momentum management
Institution:1. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China;2. Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology, Ministry of Education, China;3. Universitat Politècnica de Catalunya, Institut de Robòtica i Informàtica Industrial (CSIC, UPC), C/. Llorens i Artigas 4-6, Barcelona 08028, Spain;4. College of Automation, Harbin Engineering University, No.145 Nantong Street, Nangang District, Harbin 150001, China;5. Massachusetts Institute of Technology, Cambridge MA 02139, USA
Abstract:Momentum management of spacecraft aims to avoid the angular momentum accumulation of control momentum gyros through real-time attitude adjustment. An attitude control/momentum management controller based on state-dependent Riccati equation is developed for attitude-stabilized spacecraft. The governing equations of the system are formulated as three-axis coupled with full moment of inertia, which fully capture the nonlinearity of the system and are valid for systems with significant products of inertia or strong pitch to roll/yaw coupling. The state-dependent Riccati equation algorithm brings the nonlinear system to a linear structure having state dependent coefficients matrices and minimizing a quadratic-like performance index. The system equations are nondimensionalized, which avoid numerical problems at the same time make the weighting matrix more predictable. To guarantee closed-loop system stability, the state-dependent Riccati equation algorithm is also modified based on pole placement technique. The state-dependent Riccati equation is online calculated through the computational-efficient θ-D technique which reaches a tradeoff between control optimality and computation load. The dynamic characteristics of the system at torque equilibrium attitude are analyzed. Constraints on moment of inertia for successful momentum management are provided. Simulations demonstrate the excellent performance of the controller.
Keywords:Momentum management  Attitude control/momentum management  State-dependent Riccati equation  θ-D technique  Torque equilibrium attitude
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