PSO-based controller parameters design for spacecraft

This paper presents the parameters design and optimization of large angle attitude and rapid maneuver for spacecraft. Quaternion is used to describe spacecraft kinematics. Based on Lyapunov theory, a global attitude adjusting ability standard is defined for a series of spacecraft attitude controller. The influence of the parameters to the control capacity is discussed numerically. Particle swarm optimization (PSO) is proposed to optimize the parameters of controller, avoiding selecting parameters by traditional experience. The mechanism of sharing information among particles is introduced to obtain solution. Numerical simulation results show that PSO can reach the optimal solution 67 s of system within 31 generations under the limits of output torque. By updating the position and velocity of particles to seek solutions, PSO provides strong global search ability and convergent performance.