A Momentum Optimization Management Method for Hybrid Actuators Based on Cooperative Game

Abstract

The invention discloses a method for optimizing the momentum of a hybrid executive mechanism based on a cooperative game, comprising the following steps: designing a strategic target L and a constraint condition f; designing a game measurement function H; relationship; carry out fuzzy clustering to obtain the strategy space of the CMGRW hybrid actuator; select the initial value of the strategy combination; design the change value of the strategy combination, and optimize the strategy combination respectively; if H(dλ)≤0 is satisfied, a new Strategy combination; if the strategy combination converges, the best strategy combination is obtained, otherwise, the initial value of the strategy is reselected for optimization. The present invention adopts cooperative game theory for the first time to design the control law based on CMG and RW mixed executive mechanism, which avoids RW saturation and the singularity of CMG, and can output high torque with high precision, improves the maneuverability of satellite attitude, and through management and optimization Angular momentum, to achieve the purpose of energy optimization, while reducing the energy consumption of the hybrid actuator system.

Description

technical field [0001] The invention belongs to the technical field of satellite attitude control, and in particular relates to a cooperative game-based momentum optimization management method of a mixed actuator. Background technique [0002] With the continuous improvement of the complexity of space missions, the agile maneuvering of satellites and dynamic attitude tracking tasks have become the research hotspots of spacecraft attitude control. For example, the Pleiades high-resolution imaging satellite of France requires an angular velocity of 3 deg / s for its attitude maneuver; another example is the early warning satellite XSS-10 of the United States. The target performs high-precision attitude dynamic tracking. Obviously, agile maneuvering and attitude dynamic tracking have high requirements on the actuator. On the one hand, the actuator needs to output a large attitude control torque, and on the other hand, the torque output by the actuator is required to have high pr...

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Problems solved by technology

Wang Huanjie from Beijing University of Aeronautics and Astronautics designed a hybrid actuator control law based on CMG and RW based on the Gaussian pseudo-plain law, which solved the problem of CMG singularity, but it may cause frequent switching between RW and CMG

Geng Yunhai of Harbin Institute of Technology and others designed a torque distribution algorithm based on CMG and RW hybrid actuators, which can solve the problem of CMG singularity and dead zone, as well as the problem of RW saturation and zero crossing, but it has not realized the optimal management of RW and CMG. The energy consumption of the system is high

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