| With the development of aerospace technology, the satellite systems are becoming increasingly complex. Therefore, ground test of the satellite systems is very important before it enter orbit. The control system for single-axis air bearing table as the ground simulation platform of the satellite system is used to simulate movement of the satellite under the conditions of low friction and the weightlessness of outer space in order to achieve full physical simulation of the satellite control system. This paper is researching that how to design and achieve control system for the single-axis air bearing table.This paper design and detail describe the overall structures and composition of the hardware system based on the understanding the structure and the working principle of the control system for single-axis air bearing table.In the control algorithm, single-axis air bearing table not only need to consider high precision of system control, but also need to consider low speed requirements, however, regular PID control algorithm cannot achieve satisfactory control performance. This paper presents a control strategy of RBF network tuning PID based on the modified PSO. The strategy may improve the initial parameters of PID controller, it also is avoided impact of badly initial value for the system. Otherwise, RBF neural network sets the initial parameters online, and it makes the system automatically adjust to the best working condition. Consequences, we find that advantages and effectiveness of control algorithm through two methods of simulation experiments.In design of the control software for single-axis Air bearing table control system, this article will abstract communication protocol of the system, and lead in database system. The control software can realize such function that abstract communication protocol into data sheet and store in the database. Therefore, the new control software for single-axis Air bearing table can test different variety of solar array drive assembly. |
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