Abstract：Sun tracking technology is the key to maximize power generation efficiency of the solar array of large spacecraft, such as space station. During the sun tracking process, any disturbance on the α direction of the solar array may diminish the tracking precision and power generation, even lead to severe vibration of cabin. Therefore, in order to reduce disturbance and improve sun tracking precision, a possible solution by using BP neural network PID controller associated with suppression of gear gap impact interference and friction interference is proposed firstly and studied systematically in this paper. The MATLAB simulation results of the designed BP neural network PID controller with gear gap interference and friction interference models show that the dynamic performance and follow up effect are better, and PID parameters can be adaptively adjusted, all satisfies the design requirements.
吴鹏飞, 石然, 易志坤, 吴智杰, 仇存凯, 付伟平. 基于改进型神经网络PID算法的太阳翼α驱动控制技术[J]. 空天防御, 2018, 1(4): 8-17.
WU Pengfei, SHI Ran, YI Zhikun, WU Zhijie, QIU Cunkai, FU Weiping. Research on α Drive Control for Solar Array Based on Improved Neural Network PID. Air & Space Defense, 2018, 1(4): 8-17.
