摘要
随着自适应结构和机敏材料的发展,如何从结构设计角度来提高飞机的飞行效能受到了重视,其中的一个关键环节就是控制器的设计和开发。针对自适应机翼姿态控制的要求与物理特点,采用神经网络和自适应控制理论,设计了神经网络逆复合控制器,完成了相应的控制系统开发,进而进行了物理试验分析和研究。结果表明,系统能有效、准确、快速地在线满足设计目标跟踪和设计状态回归两项重要指标,系统的鲁棒性、收敛性和稳定性都得到明显地改善,具有良好的可靠性和工程实用性。
With the development of adaptive structure and smart material, it has become a concern as to how to improve the flying performance of a plane in terms of structure design. One key to the improvement lies in the controller＇s design and development. On the basis of neural networks and adaptive control theories, the study designs neural network controller, which can be applied to control adaptive wing, in line with the demands of the pose control of adaptive wing and the physical characters of adaptive wing controlled system. Besides, the study completes the corresponding design of controlling system and further research as well as an analysis of physical tests are conducted. The result shows that the system, with reliability and engineering practicality, is capable of meeting the targets of state regression and object tracking effectively, accurately and quickly. Also, it is expected to perform well in terms of stability, robustness and astringency and to converge fast in the test process.
出处
《计算机仿真》
CSCD
北大核心
2009年第12期49-52,共4页
Computer Simulation
