|
|
|
| Research on α Drive Control for Solar Array Based on Improved Neural Network PID |
| WU Pengfei, SHI Ran, YI Zhikun, WU Zhijie, QIU Cunkai, FU Weiping |
| 1.Shanghai Institute of Spaceflight Control Technology，Shanghai 201109，China；
2.Shanghai Key Laboratory of Aerospace Intelligent Control Technology, Shanghai 201109，China；
3.Nanchang Hangkong University, Nanchang 330000，Jiangxi，China |
|
|
|
| Guide |
|
|
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.
|
|
Received: 27 June 2018
Published: 23 October 2018
|
|
|
| Fund: |
|
|
|
| [1] |
JIA Dao, CHEN Lei, ZHU Zhipeng, YU Yao, CHI Dejian. Application of Machine Learning in Fuze- Warhead System Design[J]. Air & Space Defense, 2022, 5(2): 27-31. |
| [2] |
LI Yong, ZHANG Mengjun, QIU Dong, FAN Yunfeng . Design and Development of Data-Driven Augmented Reality Electronic Sand Table for Command and Control System[J]. Air & Space Defense, 2021, 4(2): 27-. |
| [3] |
LIU Chen, XIE Baodi, DONG Guobao, HUO Da, DUAN Yuxin, XIA Chuan. Controller Design of the UAV Formation Based on Adaptive Integral Sliding Mode[J]. Air & Space Defense, 2021, 4(1): 65-70. |
| [4] |
MEI Hantong, MA Lijuan, WU Guanghui, SHAO Xiang, XU Pengya. Adaptive Backstepping Attitude Control System Design of Long-range Missile[J]. Air & Space Defense, 2020, 3(3): 118-123. |
| [5] |
Huang Yubo, Shen Shulong, Li Li, Li Jun. Electric Torque Loading System Based on Virtual Instrument Technology[J]. Air & Space Defense, 2018, 1(3): 48-55. |
| [6] |
Zhou Lai, Jin Xiaowei, Zheng Yikai. Researchon Operational Decision Support Based on Deep Reinforcement Learning[J]. Air & Space Defense, 2018, 1(1): 31-35. |
|
|
|
|
2018, Vol. 1 
